2026-06-04T17:03:50Z https://journal.isas.or.id/index.php/JACOST/oai

oai:ojs2.journal.isas.or.id:article/317 2023-01-16T01:53:43Z JACE:ART

oai:ojs2.journal.isas.or.id:article/6 2025-08-05T08:10:17Z JACOST:ART driver

Pengembangan Game Molemash di Android Menggunakan Metode Rapid Application Development Nugroho, Agus Cahyo game molemash android mit app inventor 2 RAD As we know the game is one of the interesting applications found in gadgets. Many people who play games use their gadgets. The fans of this game come from various age segments. Although the majority is dominated by children and adolescents. Molemash is one of the popular games since time immemorial. This Molemash game is played by touching certain characters that appear on the gadget's screen. The aim of developing this Molemash game is as a media to entertain children during the Covid-19 pandemic. Another goal is to introduce programming to today's parents. The development method used is Rapid Application Development (RAD). One application that supports the RAD method is MIT App Inventor 2. MIT App Inventor 2 is one of the tools that supports the RAD method because it implements block programming so that it allows efficiency in terms of program lines that must be written. One block at MIT App Inventor 2 represents dozens or even hundreds of program lines. Users only need to arrange the blocks according to the desired logic flow. Therefore MIT App Inventor 2 is suitable for rapid software development. The result of developing this Molemash game is that children get alternative entertainment during the Covid-19 pandemic. Whereas in terms of parents get new knowledge related to game development on Android. Indonesian Society of Applied Science 2020-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/6 10.52158/jacost.v1i1.6 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 1 - 6 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/6/1

oai:ojs2.journal.isas.or.id:article/7 2025-08-05T08:10:13Z JACOST:ART driver

Analisis Kinerja Teknologi Informasi Pada Universitas Jember Menggunakan Metode It Balanced Scorecard Arifin, Fajrin Nurman Asy'ari, Miftahul Jannah Juwita, Oktalia IT Balanced Scorecard, Analisis SWOT, Kinerja TI, Universitas Jember In the face of the development of ICT (Information and Communication Technology) in tertiary institutions which is increasing, so that it requires an IT performance analysis method that can assess company performance accurately and thoroughly. This research was conducted to determine the extent of IT performance, whether it has met the needs and business strategies of tertiary institutions and IT strategies, and which still need improvements and improvements. In addition, the results of the analysis can be used as a basis as a reference for improving IT performance in Jember University. The purpose of using the IT Balanced Scorecard method is to analyze the IT performance of Jember University from four perspectives, namely: the perspective of the company's contribution, the perspective of user orientation, the perspective of operational improvement, and the perspective of future orientation. From the results of measurements that have been carried out it is known that the overall IT performance of Jember University is quite good, this is indicated by the results of the IT Balanced Scorecard size generated from each perspective. Indonesian Society of Applied Science 2020-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/7 10.52158/jacost.v1i1.7 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 44 - 49 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/7/8

oai:ojs2.journal.isas.or.id:article/9 2025-08-05T08:10:15Z JACOST:ART driver

Implementasi Algoritma Naive Bayes Untuk Memprediksi Tingkat Penyebaran Covid-19 Di Indonesia Alvina Felicia Watratan Arwini Puspita. B Dikwan Moeis Covid-19 Naïve Bayes Aplikasi WEKA The COVID-19 pandemic is the first and foremost health crisis in the world.  Coronavirus is a collection of viruses from the subfamily Orthocronavirinae in the Coronaviridae family and the order of Nidovirales.  This group of viruses that can cause disease in birds and mammals, including humans.  In humans, coronaviruses cause generally mild respiratory infections, such as colds, although some forms of disease such as;  SARS, MERS, and COVID-19 are more deadly. Anticipating and reducing the number of corona virus sufferers in Indonesia has been carried out in all regions.  Among them by providing policies to limit activities out of the house, school activities laid off, work from home (work from home), even worship activities were laid off.  This has become a government policy based on considerations that have been analyzed to the maximum, of course. Therefore this research was carried out as an anticipation step towards the Covid-19 pandemic by predicting the spread of Covid-19, especially in Indonesia. The research method applied in this research is problem analysis and literature study, collecting data and implementation.  The application of the naive bayes method is expected to be able to predict the spread rate of COVID-19 in Indonesia. The results of the Naive Bayes method classification show that 16 data from 33 data were tested in Covid-19 cases per province with an accuracy of 48.4848%, where of the 33 data tested in the Covid-19 case per province tested there were 16 data that were successfully classified correctly. Indonesian Society of Applied Science 2020-07-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/9 10.52158/jacost.v1i1.9 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 7 - 14 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/9/2

oai:ojs2.journal.isas.or.id:article/10 2025-08-05T08:10:12Z JACOST:ART driver

Pencarian Jalur berdasarkan Kepadatan Lalu Lintas Menggunakan Algoritma Koloni Semut Fariza, Arna Arif Basofi Mochammad Rizki Hidayat pencarian jalur, kepadatan lalu lintas, algoritma koloni semut. Di kota besar seperti Surabaya yang mempunyai kepadatan lalu lintas yang cukup tinggi, merupakan permasalahan yang rumit untuk diselesaikan.  Peningkatan jumlah pengguna jalan menyebabkan kepadatan yang semakin tinggi.  Pada sistem lalu lintas yang bersifat dinamis, pencarian jalur berdasarkan jarak terpendek harus memperhitungkan kondisi kepadatan lalu lintas pada suatu waktu.  Pengguna jalan lebih efektif dan efisien dalam menentukan jalur yang dilewati, apabila mempertimbangkan faktor kepadatan.  Pada penelitian ini dilakukan pengembangan pencarian jalur menggunakan algoritma koloni semut (ant colony algorithm).  Algoritma koloni semut diaplikasikan pada peta untuk menemukan jalur optimal berdasarkan jarak tempuh dengan mempertimbangkan kondisi kepadatan lalu lintas pada suatu waktu.  Sistem yang dibangun dapat menjadi alat bantu bagi pengguna jalan untuk memilih jalan yang dilakukan berdasarkan informasi kondisi kepadatan, arah jalan dan serta jalur yang dapat dilalui oleh jenis kendaraan tertentu.  Algoritma koloni semut dapat melakukan pencarian jalur dengan baik dengan sesuai dengan bobot jumlah lajur jalan dan jenis kendaraan.   Indonesian Society of Applied Science 2020-12-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/10 10.52158/jacost.v1i2.10 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 50 - 55 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/10/28

oai:ojs2.journal.isas.or.id:article/20 2025-08-05T08:10:17Z JACOST:ART driver

Kajian Penggunaan Aplikasi Android Sebagai Platform Untuk Menghitung Indeks Massa Tubuh (IMT) Lathifah Hanum Dwiny Meidelfi Aldo Erianda IMT indeks massa tubuh pengolahan citra perhitungan indeks massa tubuh aplikasi android Body Mass Index or BMI is an indicator used to measure body weight whether classified as ideal or not. A person's BMI determines by comparing body weight and height which then predicts the standard body value category from the results of renewal. BMI is often used as a measurement tool for the body in carrying out daily diet programs. However, BMI is also often used as a reference for health risks, as a determinant of coronary heart disease or as a measurement tool for diets for people with diabetes mellitus. Using a smartphone that continues to increase over time can be used for ease in calculating a person's BMI. With various methods of making existing systems, such as manual, Bluetooth Low Energy (BLE) or image processing. The manual method requires weight and height data input which is not necessarily the same every time. While BLE requires an external device other than a smartphone to calculate weight and height. From the studies conducted, the image processing method is the most effective. The image processing method takes the data needed to calculate the BMI through the inputted image without the need to manually input data or use an external device other than a smartphone.   Indonesian Society of Applied Science 2020-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/20 10.52158/jacost.v1i1.20 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 15 - 20 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/20/3

oai:ojs2.journal.isas.or.id:article/32 2025-08-05T08:10:16Z JACOST:ART driver

Kajian Penerapan Pendaftaran Calon Siswa Baru Berbasis Mobile Andorid Marisa Ayu Saphira Dwiny Meidelfi Aldo Erianda andorid, aplikasi mobile, pendaftaran, siswa, smartphone. The development of information and communication technology is rapidly increasing, giving a very big influence for the world of information and telecommunications technology. One of them is used to facilitate the registration of prospective new students. During this time the process of registering new students in various schools is still manual. In this study the author tries to resolve the above problems by utilizing an information system based on Android mobile for the registration system of prospective new students based on Android mobile to increase the effectiveness and flexibility of the school system. In the study of android applications used in the development of systems where new learners can input data through mobile phones. The study was conducted from the stages of needs analysis, design, implementation, to system testing. The purpose of this application is so that it can facilitate prospective new students in registering and the School in conducting and managing new student registration data. Indonesian Society of Applied Science 2020-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/32 10.52158/jacost.v1i1.32 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 21 -26 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/32/4

oai:ojs2.journal.isas.or.id:article/33 2025-08-05T08:10:16Z JACOST:ART driver

Penerapan Aplikasi Mobile Untuk Mencari dan Memberikan Pertolongan Terhadap Kerusakan Pada Kendaraan Berdasarkan Lokasi Terdekat Jihan Fadhilah Dwiny Meidelfi Aldo Erianda mobile, GPS, kerusakan, mencari, lokasi, kendaraan, pertolongan For motor vehicles and cars, each year always causes an increase in the number of motor vehicle problems such as leaky tires, running out of gas or breaking down and the number of problems always increases. Where when these problems occur drivers always have difficulty in finding the nearest workshop or help. To seek help for problems with vehicles in the city of Padang, through mobile devices becomes very important considering vehicle users who find it difficult to find help. In this study the author tries to resolve the above problems by creating an Android-based system that makes it easy for motorists and cars to find help with the problems they are experiencing later. In the study of this mobile application the author will utilize GPS on existing smartphones so that they can search for other people who are around the location to make it easier to find the nearest aid provider. The study was conducted from the stages of needs analysis, design, implementation, until testing. Indonesian Society of Applied Science 2020-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/33 10.52158/jacost.v1i1.33 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 27 - 31 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/33/5

oai:ojs2.journal.isas.or.id:article/34 2025-08-05T08:10:13Z JACOST:ART driver

Sistem Monitoring Rental Mobil Berbasis Android Menggunakan GPS Hamedeko, Cecilya Dwiny Meidelfi Aldo Erianda aplikasi android, GPS, kerugian, monitoring, kendaraan Kurangnya pemantauan atau memonitoring saat penyewaan rental mobil mengakibatkan tidak dapat mengetahui keberaadaan mobil yang disewakan. Dengan begitu kerap kali usaha rental mobil mengalami kerugian seperti kehilangan mobil dan tidak mengembalikan mobil tepat waktu. Untuk dapat mengetahui keberadaan mobil saat disewakan dan menimalisir kejahatan, sistem penyewaan rental mobil berbasis android untuk mendapatkan informasi pelacakan posisi kendaraan dan keluar masuknya mobil dengan menggunakan GPS. Pada kajian ini penerapan aplikasi android untuk system penyewaan rental mobil dapat memonitoring dan dapat mempermudah mengetahui keberadaan mobil. Indonesian Society of Applied Science 2020-12-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/34 10.52158/jacost.v1i2.34 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 56 - 60 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/34/29

oai:ojs2.journal.isas.or.id:article/48 2025-08-05T08:10:15Z JACOST:ART driver

Perancangan Aplikasi Pemesanan Travel Antar Kota Di Sumatera Barat Berbasis Android Cindy Klaudya Putri Dwiny Meidelfi Aldo Erianda Android, pemesanan tiket , google maps, sistem informasi, travel The development in the field of technology is currently growing rapidly, one of the technological developments at this time is the internet. Then what is obtained by using the internet can also be utilized in the field of transportation, namely by making an Android mobile-based travel ticket booking information system using a smartphone. Travel is a type of transportation service that serves passengers with a door to door or pickup system at the booking address, then delivered to the destination address. However, the process of booking travel tickets today is still done traditionally by coming to the counter or branch office of travel so it takes a lot of time and is inefficient, and there are also several other ways to call a travel agent, sometimes such methods are not effective because of the occurrence of a pile of tickets without accurate data. Therefore this study aims to facilitate travel passengers in searching or booking Travel tickets in the West Sumatra Region by designing an Android mobile application. Apart from that in providing location information to the drivers of the traveling fleet to pick up passengers at certain locations by using Google Maps, and application features such as travel schedules, ticket checks, ticket reservations, and account registration. Indonesian Society of Applied Science 2020-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/48 10.52158/jacost.v1i1.48 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 32 - 37 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/48/6

oai:ojs2.journal.isas.or.id:article/53 2025-08-05T08:10:14Z JACOST:ART driver

Studi Komparatif Program Visual Dinamis untuk Pembelajaran Algoritma dan Pemograman Berorientasi Objek Falgenti, Kursehi algorithms and programming object-oriented programming visual programming As beginners, many first-year students have difficulty understanding object-oriented programming material. To help students learn algorithmic and object-oriented programming material researchers have developed visual programming (PV). Visual programming is a tool to facilitate learning programming. The concept of learning to use PV visualizes the work processes of algorithms and programming. This research aims to compare three dynamic PV tools for object-oriented learning programming that are the most studied. To determine the PV to be compared, a survey was conducted in an online journal database, such as IEEE explore, ACM, and several well-known online publishers. From the survey results, three dynamic PVs were chosen, most widely discussed, namely Jeliot 3, Ville and Jive. All three tools are installed and studied. Comparison results show that each dynamic PV has advantages on certain characteristics. The instructor can choose visual programming by considering the advantages of each PV. Indonesian Society of Applied Science 2020-07-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/53 10.52158/jacost.v1i1.53 Journal of Applied Computer Science and Technology; Vol. 1 No. 1 (2020): Juni 2020; 38 - 43 2723-1453 10.52158/jacost.v1i1 eng https://journal.isas.or.id/index.php/JACOST/article/view/53/7

oai:ojs2.journal.isas.or.id:article/79 2025-08-05T08:10:12Z JACOST:ART driver

The Sentiment Analysis Reviewing Indosat Services from Twitter Using the Naive Bayes Classifier Astiko, Febri Achmad Khodar sentiment analysis indosat ooredoo twitter naive bayes classifier positive negative This study aims to design a machine learning model of sentiment analysis on Indosat Ooredoo service reviews on social media twitter using the Naive Bayes algorithm as a classifier of positive and negative labels. This sentiment analysis uses machine learning to get patterns an model that can be used again to predict new data. Indonesian Society of Applied Science 2020-12-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/79 10.52158/jacost.v1i2.79 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 61 - 66 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/79/30

oai:ojs2.journal.isas.or.id:article/85 2025-08-05T08:10:09Z JACOST:ART driver

Rancang Bangun Sistem Informasi Bansos Berbasis Web Moch Fauzan Harinin Dandi Saputra Andi Harmin Bantuan Sosial covid-19 rancang bangun prototipe sistem informasi Sejak adanya penyebaran pandemi Covid-19 perekonomian di Indonesia berdampak buruk bagi masyarakatnya, terutama di Kota Makassar. Untuk mengatasi hal tersebut, pemerintah mengalokasikan sebagian anggaran negara menjadi bantuan sosial untuk diberikan kepada mayarakat yang terdampak Covid-19, seperti pegawai yang di-PHK, wirausaha yang gulung tikar, serta penduduk dengan tingkat perekonomian rendah. Pendistribusian bantuan sosial rawan terjadi penyalahgunaan di pemerintah daerah, oleh karena itu diperlukan pengawasan yang efektif dan transparan agar bantuan sosial tepat sasaran dan adil. Untuk mengatasi hal tersebut, maka dibuatlah sebuah sistem informasi pendistribusian bantuan sosial berbasis website yang dapat diakses oleh penduduk di Kota Makassar, yang disebut user dan dapat dipantau oleh staff Pemerintah Daerah dan Pusat, yang disebut admin. Penelitian ini menggunakan metode Waterfall dengan perancangan Model Pengembangan Perangkat Lunak atau yang biasa di sebut System Development Life Cycle (SDLC). Hasil yang diharapkan pada penelitian ini adalah penggunaan website sebagai sistem informasi terpercaya dalam pendistribusian bantuan sosial, khususnya di Kota Makassar. Website yang sudah dirancang memiliki beberapa fitur antara lain, login, dashboard, kelurahan, data penduduk, data penerima bantuan, jenis bantuan, parameter, pengaduan, dan manajemen user. Dengan adanya website Sistem Informasi Bantuan Sosial, masyarakat mendapatkan bantuan secara adil dan merata tanpa adanya tindak kecurangan dari oknum-oknum yang menyalahgunakan bantuan tersebut. Apabila terjadi penyalahgunaan ataupun distribusi bantuan sosial tidak merata, maka masyarakat dapat melaporkan hal tersebut melalui halaman Pengaduan yang telah disediakan di oleh website. Indonesian Society of Applied Science 2021-01-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/85 10.52158/jacost.v1i2.85 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 96 - 102 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/85/49

oai:ojs2.journal.isas.or.id:article/95 2025-08-05T08:10:11Z JACOST:ART driver

Sistem Pendukung Keputusan Seleksi Penyiaran Berita Menggunakan Metode Profile Matching Sari, Ira Puspita Al Amin weights values system method profile matching news TVRI Riau-Kepri difficulties in news investigasion process that will be providedto the public riau-kepri. Based on the obserpasion that researchers do in TVRI riau-kepri seen that the shophiscation that of the technology has not been fully utilizet well by tvri riau-kepri so the difficualty in selecting news. That prosess will use a variety of alternative action which may be selected whit the expectation produce the best decision to give the news can be use method profile matching which is aprosess comparingthe value  of the actual data of a profile that will be in grades whit the value profile is expented, So as to know that difference in competence the smaleer gap produced the greater weight the selection of news will be broadcast whit the highest rating based on criteria of news. That has been set, and 3 dicision that is good, enough and less. Indonesian Society of Applied Science 2020-12-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/95 10.52158/jacost.v1i2.95 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 67 - 73 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/95/31

oai:ojs2.journal.isas.or.id:article/97 2025-08-05T08:10:11Z JACOST:ART driver

Aplikasi Penentuan Program Studi Calon Mahasiswa Menggunakan Simple Additive Weighting Siti Ratna Sari Nahdi Saubari Syahid Pebriadi, Muhammad SAW Decision Support System (DSS) Faculty of Engineering Decision support systems are part of computer-based information systems that are commonly used to support decision making in an organization or company. The decision support system is used as an alternative system that helps in making decisions to recommend the selection of study programs to prospective engineering faculty students. This decision support system uses the Simple Additive Weighting (SAW) method. The SAW method in this study uses five criteria, namely the value of mathematics, the value of English, the value of technology education, the value of cultural arts, and the income of parents. There are four alternatives used, namely Informatics, Civil Engineering, Architecture, and Urban and Regional Planning (PWK). Indonesian Society of Applied Science 2020-12-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/97 10.52158/jacost.v1i2.97 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 74 - 79 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/97/32

oai:ojs2.journal.isas.or.id:article/102 2025-08-05T08:10:10Z JACOST:ART driver

Data Mining Menggunakan Metode K-Means Clustering Untuk Menentukan Besaran Uang Kuliah Tunggal Haris Kurniawan Sarjon Defit Sumijan Kata kunci: Data Mining, Clustering, K-Means, Uang Kuliah Tunggal Digitalisasi dan otomasi dalam pelayanan mahasiswa di Perguruan Tinggi dapat menghasilkan big data. Amanat pemerintah dalam Peraturan Mentri Riset Teknologi dan Pendidikan Tinggi agar besaran Uang Kuliah Tunggal (UKT) di Perguruan Tinggi Negeri dibagi ke dalam 5 kelompok berdasarkan tingkatan kondisi sosial ekonomi orang tua. Dalam proses menetapkan UKT begitu banyak indikator sosial ekonomi orang tua yang harus dijadikan acuan sehingga menyulitkan dalam mengidentifiksi dan mencari formula yang tepat. Untuk mengelompokkan data mahasiswa ini dilakukan dengan teknik data mining menggunakan metode K-Means Clustering. Metode ini mengelompokkan besaran UKT mahasiswa berdasarkan pola atau kemiripan data sosial ekonomi orang tua. Data yang digunakan dalam penelitian ini adalah data calon mahasiswa baru Unversitas Negeri Padang. Pengelompokan ini bertujuan untuk membantu menetapkan besaran UKT calon mahasiswa baru pada Perguruan Tinggi Negeri. Hasil dari penelitian diperoleh 5 kelompok besaran UKT, terdiri dari UKT kategori 1 Rp. 500.000, UKT kategori 2 Rp. 1.000.000, UKT kategori 3 Rp. 2.000.000, UKT kategori 4 Rp. 3.000.000 dan UKT kategori 5 Rp. 4.000.000.   Indonesian Society of Applied Science 2020-12-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/102 10.52158/jacost.v1i2.102 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 80 - 89 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/102/33

oai:ojs2.journal.isas.or.id:article/107 2025-08-05T08:10:08Z JACOST:ART driver

Sistem Presensi Online Berdasarkan Metode Rapid Application Development Menggunakan Block Programming Nugroho, Agus Cahyo online presence, RAD, block programming, visual programming, computational thinking Today, the millennial generation is increasingly inseparable from gadgets. Most of their time is spent interacting using these gadgets. So that even during lectures, they can be sure that they will continue to interact using these gadgets. When this millennial generation is undergoing lectures in the classroom, usually attendance will be circulated using a paper attendance list and students must sign the paper as proof of class attendance. This often creates problems when there are students who leave their presence through classmates. The solution to this problem is to develop a mobile-based online presence system. The urgent need for an online presence system causes the system to be developed quickly. The suitable method for rapid system development is Rapid Application Development (RAD). This QRCode-based online attendance system has succeeded in overcoming the problem of entrusting presence through classmates. Indonesian Society of Applied Science 2021-06-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/107 10.52158/jacost.v2i1.107 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 1 - 6 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/107/51 Copyright (c) 2021 Agus Cahyo Nugroho

oai:ojs2.journal.isas.or.id:article/113 2025-08-05T08:10:09Z JACOST:ART driver

Kajian Implementasi Jaringan Syaraf Tiruan Metode Backpropagation Untuk Deteksi Bau Hasanati, Zahri Dwiny Meidelfi bau, jaringan syaraf tiruan, backpropagation, hidung elektronik, deteksi Perkembangan teknologi yang semakin pesat dan maju sehingga berdampak terciptanya alat atau sistem yang mampu bekerja seperti jaringan manusia, salah satu contohnya adalah sistem yang bekerja mirip dengan cara kerja hidung manusia atau e-nose. Dengan adanya bantuan sistem ini, maka dapat membantu mempermudah manusia dalam mengidentifikasi serta mengklasifikasikan bau yang tidak dapat tercium atau terdeteksi oleh hidung manusia serta dapat juga meningkatkan akurasi dan ketepatan dalam mengenali bau-bau yang ada. Cara kerja atau prinsip dari e-nose dalam mendeteksi bau yaitu dengan memanfaatkan berbagai reseptor-reseptor untuk dapat mengklasifikasikan bau dan masing-masing reseptor akan memberikan hasil respon atau output yang berbeda-beda dari satu jenis bau yang diuji. Pendekatan yang dilakukan pada pembuatan kajian ini adalah pengenalan pola yaitu belajar dari pola-pola atau contoh yang telah dicoba sebelumnya untuk dapat dikenali oleh sistem agar dapat mendapatkan hasil yang diinginkan atau sesuai target. Untuk dapat membuat sistem deteksi ini dibutuhkan metode yang mampu bekerja seperti jaringan manusia, metodenya yang sering digunakan adalah Jaringan Syaraf Tiruan atau Neural Network. Metode yang sering dipakai dalam membuat e-nose adalah Jaringan Syaraf Tiruan. Jaringan Syaraf Tiruan adalah cara untuk proses informasi yang kerjanya meniru sistem syaraf biologi manusia mirip dengan kerja otak.. Penelitian ini dilakukan dengan mempelajari dan mendalami penelitian-penelitian yang telah dilakukan sebelumnya. Hasil studi literatur yang dilakukan menghasilkan kesimpulan bahwa implementasi Jaringan Syaraf Tiruan Backpropagation bekerja dengan baik dalam mengenali dan mendeteksi bau.  Pada penelitian ini diharapkan dapat membantu mahasiswa, peneliti dan pihak-pihak terkait dalam merancang dan membangun sistem yang menggunakan metode Jaringan Syaraf Tiruan Backpropagation. Indonesian Society of Applied Science 2020-12-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/113 10.52158/jacost.v1i2.113 Journal of Applied Computer Science and Technology; Vol. 1 No. 2 (2020): Desember 2020; 90 - 95 2723-1453 10.52158/jacost.v1i2 eng https://journal.isas.or.id/index.php/JACOST/article/view/113/34

oai:ojs2.journal.isas.or.id:article/118 2025-08-05T08:10:08Z JACOST:ART driver

Protokol HTTPS, Apakah Benar-benar Aman? Prayama, Deddy Yuhefizar Amelia Yolanda protocol http https website security In particular, the method used in this research is a case study where previously the p3m.pnp.ac.id website still uses the http protocol. However http protocol does not have a method of securing data in its communication. The final result of this research is the design and implementation of the https protocol for data communication security that occurs between visitors and the p3m.pnp.ac.id website. The https protocol that has been implemented is tested to ensure the data traffic on the p3m.pnp.ac.id website is guaranteed to be safe and protected from possible piracy and data theft.   Indonesian Society of Applied Science 2021-06-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/118 10.52158/jacost.v2i1.118 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 7 - 11 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/118/52 Copyright (c) 2021 Deddy Prayama, Yuhefizar, Amelia Yolanda

oai:ojs2.journal.isas.or.id:article/121 2025-08-05T08:10:07Z JACOST:ART driver

Penerapan Face Recognition Pada Sistem Presensi Andri Nugraha Ramdhon Fadly Febriya Attendance System, Face Detection, Face Recognition, IP CCTV, Python. The development of digital image technology is increasing nowadays. However, the use of image technology on surveillance cameras has not been optimally utilized. On the other hand, the various presence data monitoring systems that currently exist have their respective advantages and disadvantages, and need to be continuously developed so as to facilitate the data processing. The student attendance system at STT Bandung is basically good but it is still not optimal. The process of collecting student attendance data is still quite time-consuming and still allows human errors to occur in the data input process. Therefore, the author intends to help overcome this by utilizing face recognition technology in an integrated presence process. LBPH (Local Binary Pattern Histogram) is currently the best method in face recognition technology because the detection and recognition process is relatively fast and has the highest level of accuracy when compared to other methods. After testing the resilience of the system from the results of the prototyping that was built, the results obtained with a success rate of 86.85%. Indonesian Society of Applied Science 2021-06-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/121 10.52158/jacost.v2i1.121 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 12 - 17 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/121/53 Copyright (c) 2021 Andri Nugraha Ramdhon, Fadly Febriya

oai:ojs2.journal.isas.or.id:article/136 2025-08-05T08:10:07Z JACOST:ART driver

Identifikasi Karakteristik Citra Berdasarkan pada Nilai Entropi dan Kontras Wardijono, Bheta Agus Lussiana ETP Rozi image edge detection, image characteristics, regionization, entropy, contrast. Abstract Determining the object boundaries in an image is a necessary process, to identify the boundaries of an object with other objects as well as to define an object in the image. The acquired image is not always in good condition, on the other hand there is a lot of noise and blur. Various edge detection methods have been developed by providing noise parameters to reduce noise, and adding a blur parameter but because these parameters apply to the entire image, but lossing some edges due to these parameters. This study aims to identify the characteristics of the image region, whether the region condition is noise, blurry or otherwise sharp (clear). The step is done by dividing the four regions from the image size, then calculating the entropy value and contrast value of each formed region. The test results show that changes in region size can produce different characteristics, this is indicated by entropy and contrast values ​​of each formed region. Thus it can be concluded that entropy and contrast can be used as a way to identify image characteristics, and dividing the image into regions provides more detailed image characteristics.   Indonesian Society of Applied Science 2021-06-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/136 10.52158/jacost.v2i1.136 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 18 - 23 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/136/54 Copyright (c) 2021 Bheta Agus Wardijono, Lussiana ETP, Rozi

oai:ojs2.journal.isas.or.id:article/137 2025-08-05T08:10:05Z JACOST:ART driver

Perancangan Sistem Informasi Pengolahan Data Akademik Pada Pendidikan Anak Usia Dini Berbasis Website Fikastiana Cahya Theresia Wati Erly Krisnanik PAUD, information systems, academic, website, prototype. The use of information technology, especially in education, is very important today, because almost all educational institutions use technology to support the performance of employees and teachers. Academic data processing in educational institutions, especially in early childhood education needs to be considered because currently in implementing student data processing is still done manually. Manual data collection is considered quite slow because it requires very high accuracy to reduce the occurrence of errors, duplication of data, and to maintain the accuracy of the data. Data recording and reports on ledgers often experience loss because each year the data continues to increase and it is difficult to find and require long student data. The solution to the problems that occur in early childhood education is to build a website-based academic data processing information system that can adjust to needs and overcome problems that occur. So, the purpose of this study is to design a website-based academic data processing information system to facilitate PAUD in processing student academic data. In developing this system using the prototype method and the programming language PHP. The results of the study show that the use of the prototype method is very helpful in the design process where it functions in the relationship between the user and the designer in order to know what is needed so that the application built will be appropriate and can function as a medium of information and communication to parents of students with schools and to help PAUD processing student data   Indonesian Society of Applied Science 2021-06-06 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/137 10.52158/jacost.v2i1.137 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 49 - 58 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/137/58 Copyright (c) 2021 Fikastiana Cahya, Theresia Wati, Erly Krisnanik

oai:ojs2.journal.isas.or.id:article/158 2025-08-05T08:10:06Z JACOST:ART driver

Analisis Trafik Pengguna XL Axiata Jakarta Selama Pandemi Covid-19 dengan Menggunakan Metode Regresi Linier Diana Dyah Damayanti Theresiawati Kraugusteeliana Covid-19, XL Axiata, Linear Regression, User Traffic, Data Mining 2020 is a very disturbing year for the whole world because in 2020 there is a deadly virus, the virus is called Covid-19. The Indonesian government has a strategy to deal with the Covid-19 virus, namely by implementing Large-Scale Social Restrictions (PSBB). Where the implementation of this PSBB requires residents to do more activities at home. To carry out activities at home, internet access is needed. Therefore, providers are the companies that benefit the most, providers are companies that provide internet services, one of which is XL Axiata. During the Covid-19 pandemic, XL Axiata company wants to conduct analysis for XL Axiata in the next year, whether the traffic of XL Axiata users has increased or decreased and how many devices need to be upgraded or safe. In conducting this analysis, it is necessary to perform fast data processing, data processing using the Data Mining method with Linear Regression techniques. The data to be processed will be obtained from the XL Axiata company, namely XL Axiata traffic data. By processing data using Linear Regression results in future predictions, the West Jakarta Municipality has increased per week by an average of 0.12%, the East Jakarta Municipality has decreased per week by an average of 0.27%, the Central Jakarta Municipality experiences the decline per week by an average of 2.31%, the South Jakarta Municipality experienced an increase per week by an average of 1.17%, and in the North Jakarta Municipality it decreased per week by an average of 0.12%.   Indonesian Society of Applied Science 2021-06-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/158 10.52158/jacost.v2i1.158 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 24 - 32 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/158/55 Copyright (c) 2021 Diana Dyah Damayanti, Theresiawati, Kraugusteeliana

oai:ojs2.journal.isas.or.id:article/160 2025-08-05T08:09:56Z JACOST:ART driver

Usability Testing pada Prototype Aplikasi Mobile PlayKids Menggunakan USE Questionnaire Yahya, Morleedia Adi Wahyuningrum, Tenia Adi Prasetyo, Novian ux lifecycle, usability testing, use questionnaire, prototype medium fidelity PlayKids merupakan sebuah sistem aplikasi berbasis mobile yang dibuat atau ditujukan untuk anak anak usia rentan antara 4 - 12 tahun. Aplikasi ini dibuat dengan tujuan untuk mengarahkan kesesuaian ketersediaan musik dengan kebutuhan konsumsi musik untuk anak. Karena sampai dengan saat ini fasilitas layanan musik digital yang tersedia bersifat acak bahkan kebanyakan untuk konsumsi dewasa. Dengan menggunakan aplikasi ini para orang tua tidak perlu lagi merasa khawatir dalam mengawasi anak-anak mereka ketika mendengarkan musik. Anak-anak dapat dengan bebas mendengarkan musik yang sesuai dengan usianya serta dapat dijadikan sebagai sarana edukasi serta hiburan. Proses penelitian dibagi menjadi dua tahap yaitu tahap perancangan prototype aplikasi mobile PlayKids menggunakan metode UX Lifecycle dan tahap pengujian prototype menggunakan metode usability testing (USE Questionnaire) sebagai evaluasinya. Tahapan penerapan metode UX Lifecycle terdiri dari analisis, desain, prorotipe, dan terakhir evaluasi. Hasil rekap nilai usability pada kuesioner USE menunjukkan keseluruhan atribut memiliki nilai penerimaan usability oleh user dengan rata-rata nilai diatas 3 yaitu 4,25. Selain itu, hasil rata-rata dari presentase indeks yang mencakup tiga aspek (system, user, interaction) adalah sebesar 84% dan hasil rata-rata efisiensi relatif keseluruhan sebesar 73%. Dengan demikian, dapat disimpulkan bahwa aplikasi PlayKids dalam bentuk prototype medium fidelity yang telah dibuat memiliki nilai aspek usability dikarenakan PlayKids mudah digunakan, dipelajari, serta dimengerti oleh pengguna. PlayKids sudah memenuhi kelima aspek usability sehingga dapat diterapkan sebagai aplikasi yang dapat dioperasikan oleh pengguna. Sementara itu, hasil uji T membuktikan bahwa H1 tidak sama dengan 3 (diterima) sesuai dengan hasil nilai rata-rata skor USE yaitu 4,25.  Indonesian Society of Applied Science 2022-06-20 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/160 10.52158/jacost.v3i1.160 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 169 - 178 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/160/127 Copyright (c) 2022 Morleedia Adi Yahya, Tenia Wahyuningrum, Novian Adi Prasetyo

oai:ojs2.journal.isas.or.id:article/166 2025-08-05T08:10:06Z JACOST:ART driver

Pembangunan Aplikasi Permintaan Cuti Berbasis Web Menggunakan Framework Hibernate dan Spring MVC Yosef Febrianes Pratyaksa Ocsa Nugraha Saian leave, employees, managers, requests, permits PT XYZ is a subsidiary of one of the largest IT companies in Indonesia which is engaged in Information and Communication Technology (ICT). The company's business unit consists of many aspects, for example in the IT distribution business, providing retail for ICT products, outsourcing IT personnel, designing, installing and maintaining all things related to information technology. In order to run all of its businesses, this XYZ company requires a lot of high quality and high quality human resources, but with the outbreak of the Covid19 pandemic, the work process for PT. XYZ is disturbed because it is done in their respective homes. This results in difficulties for employees in processing administrative matters with the office. One of them is in the matter of taking care of leave permits because the previous leave licensing process was still done manually. The management decided to build an application that can be used by all employees in all subsidiaries. Therefore, the aim of this research is to make an application that can support the administrative needs of employees in the field of leave licensing called "LeaveRequest". This application is designed using the Java programming language with the Spring Boot framework and using the Waterfall software development method. This study found the results that the majority of respondents strongly agree with the design and usability of this application, so it can be concluded that the LeaveRequest application has succeeded in fulfilling the needs in serving the utility of PT. XYZ in work from home condition. Indonesian Society of Applied Science 2021-06-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/166 10.52158/jacost.v2i1.166 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 33 - 42 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/166/56 Copyright (c) 2021 Yosef Febrianes, Pratyaksa Ocsa Nugraha Saian

oai:ojs2.journal.isas.or.id:article/168 2025-08-05T08:10:05Z JACOST:ART driver

Model Penentuan Rute Terpendek Penjemputan Sampah Menggunakan Metode MTSP dan Algoritma Genetika Aswandi Cokrowibowo, Sugiarto Irianti, Arnita genetic algorithm, multiple traveling salesman problem, shortest route, traveling salesman problem Garbage pick-ups performed by two or more people must have a route in their pickup. However, it is not easy to model the route of the pickup that each point must be passed and each point is only passed once. Now, the method to create a route has been done a lot, one of the most commonly used methods is the creation of routes using the Traveling Salesman Problem method. Traveling Salesman Problem is a method to determine the route of a series of cities where each city is only traversed once. In this study, the shortest route modeling was conducted using Multiple Traveling Salesman Problem and Genetic Algorithm to find out the shortest route model that can be passed in garbage pickup. In this study, datasets will be used as pick-up points to then be programmed to model the shortest routes that can be traveled. The application of Multiple Traveling Salesman Problem method using Genetic Algorithm shows success to model garbage pickup route based on existing dataset, by setting the parameters of 100 generations and 100 population and 4 salesmen obtained 90% of the best individual opportunities obtained with the best individual fitness value of 0.05209. The test was conducted using BlackBox testing and the results of this test that the functionality on the system is 100% appropriate. Indonesian Society of Applied Science 2021-06-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/168 10.52158/jacost.v2i1.168 Journal of Applied Computer Science and Technology; Vol. 2 No. 1 (2021): Juni 2021; 43 - 48 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/168/57 Copyright (c) 2021 Aswandi; Sugiarto Cokrowibowo, Arnita Irianti

oai:ojs2.journal.isas.or.id:article/170 2025-08-05T08:10:04Z JACOST:ART driver

Pengembangan GIS untuk Pemetaan Covid-19 dengan Implementasi Location Based Service dan Open Source Map Nur Fazheera Algadri Arnita Irianti Dian Megah Sari Pemetaan Covid-19, Geographic Information System, Location Based Service, Open Source Map The spread of Covid-19 is very fast, various efforts are being made to prevent the spread of Covid-19 and provide information about it. Especially in the area of ​​West Sulawesi Province, information about the development of Covid-19 can be accessed through a website that has been provided by the government, namely Covid Sulbar. There is a development of a Geographic information system for Covid-19 mapping with the implementation of Location based services and open source maps. This study aimed to build and implement a system as a solution to the problems currently being faced by the community related to the Covid-19 pandemic and the new normal era. The method used was literature study, observation, and interviews. The device development model used in this research was the Waterfall development model. The results showed that the results of the system development which had been carried out could be drawn from several conclusions that this research produces a Geographic Information System (GIS) regarding the distribution map and status of the Covid-19 zone. Geographical Information Systems (GIS) are easily accessible by users simply by using a web browser. With the GIS-COV website, it could help the public to see and find out information on the condition of an area related to the number of cases and the status of the level of the spread of Covid-19. With the GIS-COV website, the public could find out the number of spread of Covid-19 and certain zones with the highest and lowest levels of spread. Indonesian Society of Applied Science 2021-12-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/170 10.52158/jacost.v2i2.170 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 59 - 65 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/170/88 Copyright (c) 2021 Nur Fazheera Algadri, Arnita Irianti, Dian Megah Sari

oai:ojs2.journal.isas.or.id:article/174 2025-08-05T08:10:02Z JACOST:ART driver

Self-Service Technology Berbasis Android Menggunakan RestFul Web Service Pada Bisnis Restoran Yoseph Halim Sandy Kosasi Tony Wijaya Susanti M. Kuway Self-Service Technology, Smartphone, Meatzilla Restaurant, Restful, XP, UML. The process of ordering food and beverage menus at the Meatzilla restaurant still uses paper and stationery. Constraints that are often encountered are when restaurant visitors are crowded, but waiters are limited, often mistaken of orders and loss and order of paper orders and various other obstacles. This can cause feelings of disappointment and negative impressions which will certainly result in reduced customer satisfaction. This study aims to produce mobile device software that can support the running of food and beverage ordering systems at Meatzilla Restaurant self-service so that orders arrive quickly and right desires. This system is made using XML and java programming language with android studio tools version 3.5.3. Research in the form of case studies, software design methods using extreme programming models and system modeling tools using Unified Modeling Language (UML). This system is connected to the internet network where the admin, cashier, kitchen and customers are integrated with a restful web service. The final result of this study is a food and beverage ordering system consisting of 4 (four) parts, namely customer and admin software that is accessed by using a smartphone and the cashier and kitchen which is accessed by a PC / laptop. this system is very helpful in facilitating the management of customer orders. Indonesian Society of Applied Science 2021-12-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/174 10.52158/jacost.v2i2.174 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 73 - 82 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/174/90 Copyright (c) 2021 Yoseph Halim, Sandy Kosasi, Tony Wijaya, Susanti M. Kuway

oai:ojs2.journal.isas.or.id:article/177 2025-08-05T08:10:00Z JACOST:ART driver

Uji Plagiarism pada Tugas Mahasiswa Menggunakan Algoritma Winnowing Ramli, Moh Sadly Cokrowibowo, Sugiarto Rustan, Muh Fahmi Algoritma Winnowing Plagiarism Similarity Tugas Mahasiswa Plagiarism is the act of taking or plagiarizing the work, ideas or ideas of others either intentionally or unintentionally and claiming to be one's own work without mentioning the source or author. Often students plagiarize assignments given by the lecturer so that sometimes students just copy other people's assignments to complete the assignment. So that this can lead to dependence on other people in doing assignments and not being able to independently carry out assignments given by the lecturer. Currently, many plagiarism detection systems have been created to help reduce the level of plagiarism, one of which is the winnowing algorithm. In this study the authors used the winnowing algorithm to detect plagiarism in student assignments, namely programming source code, from the results of research conducted on 10 student assignments using the winnowing algorithm produced various similarity values as a percentage of similarity between two students tasks compared. With an average value of the overall similarity of the 10 tasks, namely 75.12%. Indonesian Society of Applied Science 2021-12-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/177 10.52158/jacost.v2i2.177 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 108 - 112 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/177/94 Copyright (c) 2021 Moh Sadly Ramli, Sugiarto Cokrowibowo, Muh Fahmi Rustan

oai:ojs2.journal.isas.or.id:article/219 2025-08-05T08:10:04Z JACOST:ART driver

Prototype Sistem Monitoring Kekeruhan Sumber Mata Air Berbasis Internet of Things Udin Hamrul, Heliawati Mansyur, Muh. Fuad NodeMCU ESP8266 sensor turbidity sensor ultrasonik relay solenoid valve Water is very important for the life of living things on earth. The function of water for life cannot be replaced, but water taken directly from springs often experiences turbidity which usually occurs during the rainy season where excessive rainwater intensity can affect the clarity of the water flowing into people's homes. From this problem, it is necessary to design a monitoring sistem for the turbidity of water flowing into the main tank which can be monitored via laptops, computers or cellphones that have internet access that can monitor in real-time and in the form of graphs and data stored in My Structured Query language (mysql) in this design. Using the nodemcu esp8266 which controls the tool in the design, the turbidity sensor is used to detect water turbidity, the ultrasonic sensor is used to detect the water level in the main tank, the relay is used to control the electric current, the solenoid valve is used to close the valve according to the conditions given with the design results of 120 ntu down and water height > 15 cm then the on relay and solenoid valve open the valve so that water can flow into the reservoir, while 121 ntu up and water height < 5 cm then the off relay and solenoid valve close the valve, the test is done using blackbox testing and the results of this test that the function on the sistem is 100% appropriate. Indonesian Society of Applied Science 2021-12-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/219 10.52158/jacost.v2i2.219 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 66 - 72 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/219/89 Copyright (c) 2021 Udin, Heliawati Hamrul, Muh. Fuad Mansyur

oai:ojs2.journal.isas.or.id:article/221 2025-08-05T08:10:00Z JACOST:ART driver

Rancang Bangun Layanan Kesehatan dan Keselamatan Kerja Go-Health Untuk Klinik Perusahaan Hermawan S, Iwan Aldo Okta Fernando Rohmat Rifai Kursehi Falgenti occupational health and safety, online health care, waterfall Method Occupational health and safety services must be provided by the company as regulated in government regulations. To make it easier for companies to provide occupational health and safety services, cloud-based services are needed that can be accessed from various devices. In contrast to public health services, company health services are required to provide work safety reports. The purpose of developing this service is to help employees get effective health services, make it easier for medical personnel to provide health services, avoid queues, shorten health service times and make it easier for companies to get occupational health and safety reports. The research method used is direct observation and system development using the waterfall method. Health services in the form of an online information system application can provide benefits for employees to facilitate consulting services and purchasing drugs. While the benefits for the company as risk control related to work activities. To create a safe, efficient and productive workplace. The results of this health service design are service prototypes that have been tested. With the support of this cloud-based service, it is easier for employees to be based on Android by taking advantage of the shortcomings of the existing system in the company. Indonesian Society of Applied Science 2021-12-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/221 10.52158/jacost.v2i2.221 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 113 - 119 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/221/95 Copyright (c) 2021 Iwan Hermawan S, Aldo Okta Fernando, Rohmat Rifai, Kursehi Falgenti

oai:ojs2.journal.isas.or.id:article/250 2025-08-05T08:10:02Z JACOST:ART driver

Bank Kosa Kata Untuk Tuna Rungu dan Tuna Wicara Berbasis Web Sari, Ira Puspita Salamun Sukri application vocabulary deaf speech impaired sign language Communication is the most important key to mastering this era of globalization. There is no denying that language is the most important part of communication. When one person uses the same language or understands another person's language, they can communicate well. Sign language is a language based on artificial communication, i.e. body language and lip movements during communication. This sign language is standardized as SIBI (Indonesian Sign Language System). SIBI is one of the media in the form of books that are able to communicate with deaf people in the community. Its shape is a systematic arrangement of groups of fingers, hands and various movements, symbolizing the word Indonesian. Book media does not seem to be easily understood by users, so it takes an application that can provide moving images to facilitate sign language learning, one of which is web-based.   Indonesian Society of Applied Science 2021-12-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/250 10.52158/jacost.v2i2.250 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 83 - 87 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/250/91 Copyright (c) 2021 Ira Puspita Sari, Salamun, Sukri

oai:ojs2.journal.isas.or.id:article/262 2025-08-05T08:10:01Z JACOST:ART driver

RETRACTED: Pengembangan Sistem Informasi Pengukur Kesiapan Akreditasi Program Studi 9 Kriteria Tasdir, Aswad Heliawaty Hamrul Nuralamsyah Zulkarnaim Accreditation, forms, system The accreditation system is a form of assessment (evaluation) of the quality and feasibility of higher education institutions or study programs carried out by independent organizations or bodies outside universities. The assessment is used as a quality benchmark for all study programs and higher education institutions, both from public and private universities that organize professional and academic programs. The better the value of accreditation will have an impact on the views of outsiders regarding the quality of the study program and higher education institution. However, the collection of data and information as well as filling out forms in the informatics study program still have many obstacles, such as the large number of data used as assessment criteria that requires a lot of time and effort. And also continuously accreditation that keeps repeating every few years is one of the problems faced in storing the accreditation data. ------------------------ Naskah ini telah di RETRACTED, silahkan baca https://journal.isas.or.id/index.php/JACOST/retraction. Naskah ini terindikasi publikasi ganda (Double Publication) yang telah terbit di https://ojs.unsulbar.ac.id/index.php/jcis/article/view/1251/745 (JCIS (Journal of Computer and Information System) Vol.4, No.2, Oktober 2021, Page 30 - 41 ISSN (print): 2622-5859, ISSN (online): 2622-0881 DOI:10.31605/jcis.v4i2) Indonesian Society of Applied Science 2021-12-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/262 10.52158/jacost.v2i2.262 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 88 - 94 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/262/92 Copyright (c) 2021 Aswad Tasdir, Heliawaty Hamrul, Nuralamsyah Zulkarnaim

oai:ojs2.journal.isas.or.id:article/263 2025-08-05T08:09:59Z JACOST:ART driver

Implementasi Algoritma Haversine Pada Absensi Kepegawaian Berbasis Android Sidiq, Hidayatul Deni Satria Humaira absence android mobile haversine At this time the development of the era is much influenced by technology. This development has an impact on various aspects and fields in the expected life in the field of employment. Al-Azhar 32 Padang Islamic Elementary School is one of the private schools located in the city of Padang, West Sumatra. Al-Azhar schools have staff such as principals, teachers and administration so that the data entered is quite a lot.The staffing system at the Al-Azhar school is still manual by inputting it with excel. To take attendance at the employee using fingerprints and some use the attendance form. However, errors often occur during scanning because the scanner cannot detect someone's finger when the scanner is dirty. So that many employees update attendance by filling out the attendance update form. Given the problems above, it is possible to propose a mobile-based personnel application system. This staffing application has various features that can be used for taking attendance, leave forms, attendance history, school information, and employee profiles. This Android-based attendance can only be taken around the school or less than 20 meters from the school distance. To find out the distance between th0e user and the school, this attendance application uses the haversine algorithm to measure the distance between the user and the school Indonesian Society of Applied Science 2022-06-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/263 10.52158/jacost.v3i1.263 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 120 - 126 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/263/118 Copyright (c) 2022 Hidayatul Sidiq, Deni Satria, Humaira

oai:ojs2.journal.isas.or.id:article/265 2025-08-05T08:10:01Z JACOST:ART driver

Analisis Tata Kelola Pusat Data dan Informasi Kementerian XYZ Menggunakan COBIT 2019 Ardi Prasetyo, Thio Meiza Melkior N.N. Sitokdana COBIT 2019, Data Center, IT Governanceand Management, Domain The Ministry of XYZ's Data and Information Center is a supporting element that is under and responsible to the Minister through the Secretary General with the task of preparing governance and information technology management infrastructure, developing, and implementing information system innovations and data management and information presentation. Information technology management is carried out to facilitate the management, monitoring and evaluation of every business process and information technology to achieve organizational goals. COBIT 2019 is used to assist organizations in managing and optimizing existing information technology by examining the 10 existing design factors and then analyzing the level of capability in each of the top three domains. The result of this research is the capability level of the domains BAI02, BAI03, and BAI07, which is then made recommendations from the domains that have gaps.   Indonesian Society of Applied Science 2021-12-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/265 10.52158/jacost.v2i2.265 Journal of Applied Computer Science and Technology; Vol. 2 No. 2 (2021): Desember 2021; 95 - 107 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/265/93 Copyright (c) 2021 Thio Meiza Ardi Prasetyo, Melkior N.N. Sitokdana

oai:ojs2.journal.isas.or.id:article/267 2025-08-05T08:09:59Z JACOST:ART driver

Penerapan Metode Prototyping Pada Aplikasi Sentra Pelayanan Kepolisian Terpadu Berbasis Web Fadhli, Mardhiah Annisa Marion SPKT Lost goods prototyping method The community considers that the services managed by the police seem less effective and efficient. Due to public complaints at this time, the community really needs information and fast service at the SPKT (Integrated Police Service Center). Services provided by SPKT, especially services for lost goods, for those who have lost their Vehicle Number Certificate (STNK), Car/Motorcycle, Driving License (SIM) for Car/Motorcycle, Identity Card (KTP), Family Card (KK), Automated Teller Machine (ATM) , Savings Books, Passports, Student Identity Cards (KTM), and others. At the Pekanbaru Police, when a complaint or complaint from the SPKT (Integrated Police Service Center) police unit is still manual where the making of the letter of loss is still using Microsoft Word by deleting and replacing the contents of the file. The purpose of this research is to assist the public in providing clear information and getting lost more easily and to facilitate the management of lost data from the community in order to determine the points where the loss of goods occurred. This system was built using the Protoyping Method, which is a method to get an overview of the system obtained from the user first, then it will be visited by the user so that it can be a reference for system development. The result of the user acceptance test (UAT) from the implementation of the program is that 100% functionality in the application is acceptable Indonesian Society of Applied Science 2022-06-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/267 10.52158/jacost.v3i1.267 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 127 - 133 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/267/119 Copyright (c) 2022 Mardhiah Fadhli, Annisa Marion

oai:ojs2.journal.isas.or.id:article/277 2025-08-05T08:09:58Z JACOST:ART driver

Metode Otsu dan Mathematical Morphology Dalam Segmentasi Region Karakter Plat Nomor Kendaraan Yovi Apridiansyah Rozali Toyib Ardi Wijaya segmentasi karakter, pre-processing, metode otsu, mathematical morphology The problem that affects the character segmentation step is the step before character segmentation, namely preprocessing character segmentation or called preprocessing. This poses are strongly influenced by plate lighting conditions, shadows against plates, plate image impurities, plate image resolution, character cutting accuracy, and speed in recognizing characters. In general, identification consists of 3 stages, namely detection, segmentation and recognition. In this study, the use of the otsu method is expected to detect the region on the vehicle license plate, the region in question is the first region to show the regional code, the second region for the registration number and the third region for the sub-region code. In the process, the results of the vehicle number plate detection trial to get a segmentation of 3 regions of the vehicle number plate character did not get the expected results. The results  trial obtained the identification of the entire character of the vehicle number plate so that the characters on the vehicle number plate could not be distinguished between the front letter, number, and the back letter. So to maximize the desired results so that getting 3 regions of the otsu method segmentation process needs to be improved using the mathematical morphology method. This mathematical morphology method serves to read the character value of each pixel in the digital image which produces a comparison between the pixels in the image, so morphology techniques are appropriate when used to perform image processing in obtaining the region of the vehicle number plate. From the improvement of the otsu method, the results of the trial were improved. Of the 100 data samples tested, 96 data samples passed and 4 sample data failed, the accuracy value using MSE measurements from the tested data samples received a very high increase, which was 96%. Indonesian Society of Applied Science 2022-06-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/277 10.52158/jacost.v3i1.277 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 134 - 143 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/277/120 Copyright (c) 2022 Yovi Apridiansyah, Rozali Toyib, Ardi Wijaya

oai:ojs2.journal.isas.or.id:article/295 2025-08-05T08:09:58Z JACOST:ART driver

Prediksi Penggunaan Obat Peserta Jaminan Kesehatan Nasional Menggunakan Algoritma Naïve Bayes Classifier Tugiman Lily Damayanti Alexius Hendra Gunawan Samuel Ryon Elkana Naive Bayes Classifier, User Acceptance Test, Prediction, National Health Insurance Currently, most of the patients seeking treatment at the hospital use the National Health Insurance (JKN) organized by the Healthcare and Social Security Agency (BPJS Kesehatan). In some hospitals, the figure is above 80%. Considering the very high number of BPJS Kesehatan participant seeking treatment at the hospital, a good data management method is needed, especially regarding the management of drug. Drug supply needs to be analyzed from time to time so that it can help predict future needs. An adequate supply of drugs and as needed is one of the things that affect service to patients. The availability of sufficient stock is expected to accelerate service to patients so that they do not have to wait long. Patients who are served quickly are expected to be satisfied. The impact of this patient satisfaction will increase the number of patient visits to the hospital. To support this, it is necessary to create a system that can estimate drug needs. The system can predict drug demand by using drug sales data to JKN participant patients for five years. Drug data used as research samples and then processed using an algorithm is the Naive Bayes Classifier. The Naive Bayes Classifier method is a method used to predict future opportunities using the basis of previous experience. A distinctive feature of this method is that it uses a very strong assumption of the independence of each event. While software testing uses the User Acceptance Test (UAT) model. Based on testing using this method, the system can be well received by users with a score of 78.64% (good).   Indonesian Society of Applied Science 2022-06-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/295 10.52158/jacost.v3i1.295 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 144 - 150 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/295/121 Copyright (c) 2022 Tugiman, Lily Damayanti, Alexius Hendra Gunawan, Samuel Ryon Elkana

oai:ojs2.journal.isas.or.id:article/296 2025-08-05T08:09:57Z JACOST:ART driver

Keran Air Wudhu Otomatis Menggunakan Sensor Infrared Sebagai Upaya Meminimalisasi Pemborosan Air M. Iman Wahyudi Rifki Abdul Aziz Automatic Faucet Infra-Red Sensor Arduino Water Efficient The use of water in taking ablution is not in accordance with the excessive, it is one indication of the waste of water in use, the water faucet will continue to be open and the water will continue flow maximally, and there are also happens people forget to close the water tap after ablution then it will result in undue water wastage. In this study the author tries to develop a water saving scheme using infrared sensor and an Arduino-based and also will try to calculate the percentage efficiency of water use in ablution. Based on the results of the test the writer obtain automatic water faucets are more effective to save the water than the manual water faucets, it can be concluded that the use of an automatic ablution water faucets can save water average 40,04%. Indonesian Society of Applied Science 2022-06-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/296 10.52158/jacost.v3i1.296 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 151 - 156 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/296/122 Copyright (c) 2022 M. Iman Wahyudi, Rifki Abdul Aziz

oai:ojs2.journal.isas.or.id:article/307 2025-08-05T08:09:57Z JACOST:ART driver

Sistem Pakar Mendiagnosa Gangguan Mental pada Diri Seseorang Mengunakan Metode Certainty Factor Nopi, Nopi Purnomo Musthafa Haris Munandar Feri Irawan Januardi Rosyidi Lubis Expert System, Certainty Factor, Mental Disorder, Forward, PHP, MySql People with mental disorders are very much starting in Indonesia, the results of health research in 2015, 1,193,151 people or 0.467% of the population who suffer from mental disorders. This mental disorder disease should not be silenced anymore, must be followed up or minimized in order to improve health conditions in Indonesia. The poverty rate in Indonesia until now is still relatively high and makes it difficult for people to deal with mental disorders. As for minimizing the handling of this mental disorder, it is very suitable to build an expert system using the certainty factor method, which is a method that defines a measure of capacity for a fact or rule, in expressing the level of confidence of an expert on a problem that is being faced by a patient or sufferer and can also be used as a benchmark of the results of the diagnosis of a disease suffered. By making this expert system, it can be useful for many people and can know clearly about mental disorders from symptoms and solutions based on a website and using PHP programming with a MySQL database. The results of the study using the certainty factor method with tests that have been carried out by the user or users are that the type of mental disorder suffered is the type of schizophrenia with a 56% certainty rate.   Indonesian Society of Applied Science 2022-06-13 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/307 10.52158/jacost.v3i1.307 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 157 - 162 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/307/125 Copyright (c) 2022 Nopi Purnomo Nopi, Musthafa Haris Munandar, Feri Irawan, Januardi Rosyidi Lubis

oai:ojs2.journal.isas.or.id:article/310 2025-08-05T08:09:56Z JACOST:ART driver

Pengembangan Aplikasi Pemasaran Ikan Untuk UMKM dan Nelayan Batam dengan Pendekatan User Centered Design (UCD) dan Usability Testing Novriansyah, Ari Kurniawan, Dwi Ely SMEs Fish UCD Usability Testing This study aims to design a fish trading application for SMEs and fishers in Batam. Batam is an area surrounded by the sea; most of the population makes a living as fishermen. The restrictions on community activities due to the Covid-19 pandemic have resulted in several weakening businesses where fishers and MSMEs have difficulty selling and distributing to consumers. The study took a case study on Tibelat Farm, an MSME, and anglers who cultivate fish and sell various consumption fish and ornamental fish. The application design uses the Laravel Framework with a UCD approach (User Centered Design), which involves the user in the business model to reach a broader market and complete available information. The results of the local community survey still have no confidence in online transactions, so in the design, they choose the pay-on-site or COD (Cash on Delivery) model. As an evaluation of the usability level using the SUS scale (System Usability Scale). The study results showed a SUS score of 57.58 which means that the application is functionally perfect and can be accepted by users. Indonesian Society of Applied Science 2022-06-20 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/310 10.52158/jacost.v3i1.310 Journal of Applied Computer Science and Technology; Vol. 3 No. 1 (2022): Juni 2022; 163 - 168 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/310/126 Copyright (c) 2022 Ari Novriansyah, Dwi Ely Kurniawan

oai:ojs2.journal.isas.or.id:article/348 2025-08-05T08:09:54Z JACOST:ART driver

Pengembangan Chatbot “Ciovita” Virtual Assistant Cioccolato Brownie Semarang Dengan Metode Waterfall Elita Natalia Sugianto Jessica Aurelia Sujangga Delvia, Novita Verdiana Ayustika Agus Cahyo Nugroho chatbot, virtual assistant, ciovita, website, telegram, line Cioccolato brownie is a business engaged in the food business, namely brownies. In doing business, Cioccolato brownie performs the traditional process of presenting information to consumers to obtain product and development information. Where by contacting and communicating through the admin or business owner via short messages. Therefore, consumers will take a long time to get the desired business or product information. Meanwhile, business owners or admins also become inefficient and inefficient in running a business, because they must be effective in sending messages that may be carried out between one consumer and another. Therefore, to overcome the problems faced by Cioccolato brownie, a virtual assistant chatbot based on website, line and telegram was created. A virtual assistant chatbot named Ciovita. The method used in the development of a virtual assistant with the Waterfall Model is modeled with Usecase, activity diagram and sequence. The final result of the development of this virtual assistant chatbot is a website, line and telegram that can facilitate the provision of product information on Cioccolato brownie, so that it will help Cioccolato brownie in carrying out its business activities more effectively and efficiently. Indonesian Society of Applied Science 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/348 10.52158/jacost.v3i2.348 Journal of Applied Computer Science and Technology; Vol. 3 No. 2 (2022): Desember 2022 ; 179 - 185 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/348/154 Copyright (c) 2022 Elita Natalia Sugianto, Jessica Aurelia Sujangga, Novita Delvia, Verdiana Ayustika, Agus Cahyo Nugroho

oai:ojs2.journal.isas.or.id:article/361 2025-08-05T08:09:53Z JACOST:ART driver

Pengembangan Sistem Informasi Akuntansi Kios Ikan Laut berbasis Web dan Mobile Saputra, Ridho Henim, Silvana Rasio Trisnadoli, Anggy Sistem Informasi Akuntansi Web Aplikasi Mobile Aplikasi Android Buyung Fitri Buyung Fitri's sea fish stand is a trading business that provides fresh sea fish which it operates in the Senapelan, Pekanbaru. This stand is capable of handling wholesale and retail sales. The absence of financial records that should be required in the trading business is a problem for the stand’s owner. Therefore, a recommendation solution is given to the owner to build a website system. This system can manage transactions that occur in the sea fish business to become financial reports. This system is build based on a website using the PHP CodeIgniter framework and MySQL. In addition, this study also built a mobile app that is used to view financial reports needed by users later. Based on black box testing, it can be concluded that both systems can run well. Then based on performance testing, it can be concluded that the website system built can be accessed quickly. While the android system has low memory usage so it can run well. Indonesian Society of Applied Science 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/361 10.52158/jacost.v3i2.361 Journal of Applied Computer Science and Technology; Vol. 3 No. 2 (2022): Desember 2022 ; 186 - 192 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/361/155 Copyright (c) 2022 Ridho Saputra, Silvana Rasio Henim, Anggy Trisnadoli

oai:ojs2.journal.isas.or.id:article/364 2025-08-05T08:09:56Z JACOST:ART driver

Implementasi Sistem Otomasi Order Mentoring Pada Marketplace Mentoring Platform Nusademy Jabar Rozaq, Muhammad Nanda Oktiawati, Unan Yusmaniar Mentoring, System Integration, Automatic Scaling, User Experience, Technology Business The COVID-19 pandemic has caused the acceleration of digitalization to occur throughout the world in various aspects of life, one of which is in the world of education. The openness of access to learning resources has not been the right solution for humans to learn independently. There are details in the learning process that require the guidance of a teacher called a mentor. In line with this, PT Nusademy Solusi Indonesia (Nusademy) built a marketplace mentoring platform that allows learning to take place in a network between users and mentors. Nusademy provides an opportunity for users to able to choose learning topics and mentors according to their needs. In it, there are steps for mentoring orders, which are currently still being processed manually by the admin every time there is a transaction. So, we need a system that can bridge users with mentors to share benefits without having to depend on admin availability. Python is a programming language that has characteristics suitable for autonomous system development and integration with third-party services. This study aims to create, implement, and test an automated order mentoring system on the Nusademy Web Application which is integrated with the Xendit payment application, the Google Calendar scheduling application, and the Google Hangouts video-conferencing application. The automation system provides automatic services in billing, checking payment status, communication processes between users and admins, communication processes between admins and mentors, creating virtual mentoring rooms, and notification of mentoring agenda reminders. The system is launched on a cloud computing-based server which can enable automatic capacity scaling based on user requests using Google Cloud Run. Testing of the order mentoring automation system is carried out by considering aspects of system capability, system reliability, level of effectiveness, user experience, and business analysis. Indonesian Society of Applied Science 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/364 10.52158/jacost.v3i2.364 Journal of Applied Computer Science and Technology; Vol. 3 No. 2 (2022): Desember 2022 ; 199 - 207 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/364/157

oai:ojs2.journal.isas.or.id:article/384 2025-08-05T08:09:55Z JACOST:ART driver

Rancang Bangun Alat Monitoring Kelembaban, PH Tanah dan Pompa Otomatis Berbasis Arduino Daniel, Ronald Farmer Microcontroller soil moisture ph In today's era technology has begun to enter into various aspects of human life, one of which is in the field of agriculture. The majority of farmers in Indonesia still carry out farming activities without using technology assistance. This of course has its own advantages and disadvantages, and one of the drawbacks is not knowing the cause of why a plant dies but not because of disease or not growing plants optimally and watering plants in large quantities at certain times every day. Based on the problems above, the author tries to design a tool that can monitor the state of the soil and also carry out watering automatically, using the prototyping method. Tools and materials used such as arduino nano as a microcontroller, humidity sensor to read the value of moisture in the soil and soil pH sensor to read the pH value of the soil. The tool will send data to the user's smartphone so that it can be monitored and controlled by the pump remotely. It is hoped that the tool can ease the workload of farmers or can also provide additional information regarding the condition of the soil where the plants grow Indonesian Society of Applied Science 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/384 10.52158/jacost.v3i2.384 Journal of Applied Computer Science and Technology; Vol. 3 No. 2 (2022): Desember 2022 ; 208 - 212 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/384/158 Copyright (c) 2022 Ronald Daniel

oai:ojs2.journal.isas.or.id:article/424 2025-08-05T08:09:55Z JACOST:ART driver

Implementasi Metode LCG Pada Aplikasi CBT Untuk Tes Potensi Akademik Berbasis Web Rinaldi, Rizky academic potential test, computer based test, linear congruent generator, website, black box testing In the Academic Potential Test of new students at the Raudhatul Akmal Islamic College (STAIRA) Batang Kuis, do not yet have a Computer Based Test (CBT) or a computer-based exam for the freshman academic potential test exam. So that the exam is still carried out manually and costs a lot of money in its implementation. But it also makes the exam process less carried out because some students can cheat when filling in answers by cheating friends. Therefore, in this study aims to create a web-based Computer Based Test (CBT) application and randomize the questions in it by applying the Linear Congruent Generator (LCG) method. The result of this study is a web-based application for academic potential test exams that are expected to overcome the problems that exist in the current STAIRA Batang Kuis. The order of the questions will be automatically randomized when students conduct an academic potential test exam based on their respective student identification numbers. Indonesian Society of Applied Science 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/424 10.52158/jacost.v3i2.424 Journal of Applied Computer Science and Technology; Vol. 3 No. 2 (2022): Desember 2022 ; 213 - 220 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/424/159 Copyright (c) 2022 Rizky Rinaldi

oai:ojs2.journal.isas.or.id:article/427 2025-08-05T08:09:53Z JACOST:ART driver

Dataset Gambar Wajah untuk Analisis Personal Identification Syefrida Yulina Hoky Nawa dataset, image pre-processing, personal identification In today's era, which is supported by technological advances, personal assistance through the face can be carried out by sophisticated machines and robots. One of its applications is personal identification using data mining. But before conducting data training and data classification, it is necessary to carry out the process of data collection and data cleaning or data pre-processing. Currently the face dataset for personal identification at the Caltex Riau Polytechnic in particular is still in the form of raw data, namely in the form of a collection of images that have not been pre-processed. Therefore, this research will perform image preprocessing to clean up the image data that has been collected so that the data can become a cleaner source of information and can be used at a later stage. The data used in this study are image data or photos of Caltex Riau Polytechnic students. At the facial image pre-processing stage using the OpenCV library using the Python programming language. Images collected by 500 students for 5 students. The results of this study are the personal identification dataset of Caltex Riau Polytechnic students consisting of 280 images that have successfully passed the stages of grayscaling, cropping, resizing and Normalization. This dataset is stored in the file data_norm.npz. White box testing is carried out to determine the accuracy of the application of the image pre-processing stage with the test results stating that all functional basis paths applied are in accordance with the cyclometic complexity and its independent path. Indonesian Society of Applied Science 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/427 10.52158/jacost.v3i2.427 Journal of Applied Computer Science and Technology; Vol. 3 No. 2 (2022): Desember 2022 ; 193 - 198 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/427/156 Copyright (c) 2022 Syefrida Yulina, Hoky Nawa

oai:ojs2.journal.isas.or.id:article/428 2025-08-05T08:09:54Z JACOST:ART driver

Analisa Data Penjulan pada Toko Kelontong Musyawarah Menggunakan Algoritma Apriori Hilman, Kirana Anastasya Afika Putri Hilman Data Mining Tanagra Algoritma Apriori Musyawarah store is a grocery store that provides a variety of daily needs. The products sold at the deliberative shop include necessities, kitchen spices, toiletries, laundry soap, and house cleaners. So far, sales data has never been analyzed. Data analysis with data mining can generate new knowledge to help shop owners manage inventory strategies and display items for sale. This study aimed to determine the pattern of the high frequency of items sold in the Musyawarah grocery store using data mining methods. The Apriori algorithm analyzes sales transactions at the Musyawarah grocery store. Based on the observations and calculations that the authors have made of the final association results, namely, if you buy eggs, you will buy Indomie rebus with 50% support and 58% confidence, and if you buy Indomie rebus, you will buy eggs with 50% support and 100% confidence. While sasa is the product that does not sell well with the smallest confidence value. Indonesian Society of Applied Science 2022-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/428 10.52158/jacost.v3i2.428 Journal of Applied Computer Science and Technology; Vol. 3 No. 2 (2022): Desember 2022 ; 221 - 227 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/428/160 Copyright (c) 2022 Kirana Anastasya Afika Putri Hilman Hilman

oai:ojs2.journal.isas.or.id:article/451 2025-08-05T08:09:51Z JACOST:ART driver

Evaluasi Kapabilitas Sistem Informasi Pasien ICU dan HCU Menggunakan COBIT 5 dengan Domain BAI Fernando, Erick Jullend Gatc Yuhefizar, yuhefizar COBIT 5 Build, Acquire, and Implementation (BAI) Capability Level The hospital's Intensive Care Unit (ICU) and High Care Unit (HCU) systems are very important systems and are always used, so it is necessary to know the extent of their performance. Thus, the study aims to provide reference for xyz hospital regarding the condition (performance) of the current ICU and HCU patient systems. COBIT 5 is an information system capability evaluation framework with the build, acquire and implement (BAI) domain. Domain BAI focuses on developing, acquiring, and implementing information systems, applications, and services. It covers the entire IT project life cycle, starting with the planning and requirements gathering phases and continuing through the design, development, testing, and deployment phases. This study also uses qualitative approach with literature studies and quantitative approach for data analysis to measure capability level. Research respondents were heads and staff from the IT, ICU, and HCU divisions. The results of this study describe the level of capability achieved by hospitals in the BAI Domain, with an average score of 3.30 at the established level. This level illustrates that the application of information technology can achieve process results that are in accordance with the wishes of raft xyz management. This stage also illustrates that the xyz hospital has an information technology process that has been standardized thoroughly to achieve all processes. The results of this evaluation can also be guideline for the xyz raft house to make improvements and improve the performance of the ICU and HCU patient systems in meeting the needs of intensively treated patients. Indonesian Society of Applied Science 2023-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/451 10.52158/jacost.v4i1.451 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 27 - 33 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/451/198 Copyright (c) 2023 Erick Fernando, Jullend Gatc, yuhefizar Yuhefizar

oai:ojs2.journal.isas.or.id:article/467 2025-08-05T08:09:50Z JACOST:ART driver

Optimalisasi UMKM di Kepulauan Mentawai Melalui Marketplace dan Digitalisasi Logistik Dwi Welly Sukma Nirad Rika Ampuh Hadiguna Ahmad Syafruddin Indrapriyatna Wahyudi Ricky Akbar Hafizah Hanim Andrew Kurniawan Vadreas Kepulauan Mentawai, Wilayah 3T, UMKM, Marketplace, Waterfall Model. Economic growth in West Sumatra's Mentawai Islands is relatively undeveloped due to geographical conditions and human resource capacity. The status as a 3T region (Disadvantaged, Frontier, Outermost) inhibits Micro, Small, and Medium Enterprises (MSMEs) growth. Despite MSMEs being economic pillars that stimulate regional development, their progress remains slow. To counter this, our study proposes "Bulagat", an integrated marketplace with digital logistics aimed at enhancing economic and MSMEs growth in the Mentawai Islands. Bulagat will streamline MSME product distribution, broaden market reach, and boost income. Constructed using the Waterfall Model, Bulagat facilitates transactions between MSMEs and customers on an easy-to-use platform. The integration of logistics digitization aims to improve delivery safety and efficiency, thereby expanding MSMEs product reach in the Mentawai Islands. A tracking feature ensures successful delivery. The study suggests Bulagat has the potential to be an efficient tech solution supporting MSMEs product sales in Mentawai, overcoming geographical barriers, and strengthening the local economy and community welfare. This application aims to mitigate MSMEs challenges, drive economic growth, and enhance local community welfare. Indonesian Society of Applied Science 2023-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/467 10.52158/jacost.v4i1.467 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 42 - 51 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/467/200 Copyright (c) 2023 Dwi Welly Sukma Nirad, Rika Ampuh Hadiguna, Ahmad Syafruddin Indrapriyatna, Wahyudi, Ricky Akbar, Hafizah Hanim, Andrew Kurniawan Vadreas

oai:ojs2.journal.isas.or.id:article/474 2025-08-05T08:09:44Z JACOST:ART driver

Pengembangan Sistem Smart Village Berbasis Internet of Things untuk Meningkatkan Kualitas Hidup di Desa: indonesia Sujadi, Harun Nunu Nurdiana Reyna Indra Maulana smart village, smart pole, monitoring system, internet of things, simdesaap Internet users in Indonesia reached 55% or more than half of Indonesia's population, while the tools used to access the internet are dominated by smartphones, as much as 60%. These make the internet and smartphones one of the technologies that can be used further. Internet of Things is one of the technological developments in the internet field that can be used in building smart villages. A smart village is an innovative village that seeks to improve its citizens' quality of life, efficiency, and competitiveness by utilizing information and communication technology (ICT). Simdesapp is an intelligent village application that was built to display information obtained from the previously built smartpole hardware—using the Extreme Programming method as a system development method through several stages such as planning, design, coding and testing. The features contained in the software are monitoring temperature, humidity, air quality, panic buttons for emergencies, and early warnings for disasters such as land fires and earthquakes. In contrast, other features in the software are the history of each resident's illness, schedule Posyandu, patrol schedules, profiles of each resident, and village website containing profiles and village potentials. Indonesian Society of Applied Science 2023-11-29 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/474 10.52158/jacost.v4i2.474 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 141 - 146 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/474/242 Copyright (c) 2023 Harun Sujadi, Nunu Nurdiana, Reyna Indra Maulana

oai:ojs2.journal.isas.or.id:article/477 2025-08-05T08:09:41Z JACOST:ART driver

Penerapan Algoritma K-Means Untuk Mengelompokkan Kepadatan Penduduk Di Provinsi DKI Jakarta Handayanna, Frisma Sunarti, Sunarti Population Density, Data Mining, Clustering, K-Means DKI Jakarta Province is an attraction for immigrants. If the population increases, if it cannot be resolved and managed well, it will result in bad things such as increasing the number of unemployed and affecting economic growth. Population data is used to help group regions based on population density in DKI Jakarta Province in 2019-2022 using the K-Means clustering method. From the results of the research, it provides a solution for the government to pay attention to population groups with the aim of preventing population density because it causes bad effects, so that community welfare is more guaranteed, so grouping (clustering) of provinces in DKI Jakarta is needed to provide information for people who wish to live in the Province DKI Jakarta. The research proves that the test results carried out clustering iterations of population density data were obtained in three iterations. For the results obtained by calculations using the K-Means method and using the rapidminer application, the results obtained were of the same value, namely the cluster with the highest population density of three districts/cities, namely South Jakarta, East Jakarta and West Jakarta whose population density continues to increase. Indonesian Society of Applied Science 2024-03-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/477 10.52158/jacost.v5i1.477 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 50 - 55 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/477/280 Copyright (c) 2024 Frisma Handayanna, Sunarti Sunarti

oai:ojs2.journal.isas.or.id:article/483 2025-08-24T08:16:33Z JACOST:ART driver

Pengembangan Aplikasi Kamus Bahasa Melayu Dialek Ketapang dengan Implementasi Algoritma Binary Search Atimi, Rizqia Lestika Orama, Rizky Ruhibnur, Refid Android, Binary Search Algorithm, Malay Dictionary As a country that is rich in ethnic, cultural and linguistic diversity, Indonesia has 668 vernacular languages, one of them is Malay. West Kalimantan is one of the regions in Indonesia where majority of the population is Malay. The population used Malay language with a variety of dialects distinctive regional. The Ketapang Malay dialect is used in Ketapang Regency. Vernacular languages which are inherited from the ancestors should be preserved as an effort to maintain their function and position as ethnic identity, personality, as well as a means to show the variety of regional culture. Unfortunately, along with the times and influx of foreign cultural influences to Indonesia as an impact of globalization, many words of Malay Ketapang dialect underwent changes, developments and displacements, moreover leading to extinction. This research developed an Android-based application of Ketapang Malay Dictionary (KBMK) with the implementation of the binary search algorithm. Application was developed using following method, data collecting, application development, application testing, and system evaluation. Blackbox testing shows that the binary search algorithm is able to search the keyword correctly. Furthermore, the KBMK application was tested using a usability evaluation, evaluation obtained an average score of 4.48 indicating that the application is useful and effective in conducting searches, and providing user satisfaction. Indonesian Society of Applied Science 2023-11-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/483 10.52158/jacost.v4i2.483 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 75 - 81 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/483/228 Copyright (c) 2023 Rizqia Lestika Atimi, Rizky Orama, Refid Ruhibnur

oai:ojs2.journal.isas.or.id:article/484 2025-08-05T08:09:52Z JACOST:ART driver

Klasifikasi Penyakit Daun Pada Tanaman Jagung Menggunakan Algoritma Support Vector Machine, K-Nearest Neighbors dan Multilayer Perceptron Kusuma, Jaka Rubianto Rosnelly, Rika Hartono Hayadi, B. Herawan Corn Leaf Disease Support Vector Machine K-Nearest Neighbors Multilayer Perceptron VGG-16 Corn is one of the substitute staple foods in Indonesia after rice. Maize crops grown in Indonesia often experience considerable losses due to maize plant diseases. Generally, plant diseases are initially caused by morphological changes in the leaves. Accurate detection and classification of diseases that appear on the leaves will prevent the widespread spread of the disease. This study will compare classification algorithms, namely Support Vector Machine, K-Nearest Neighbors, and Multilayer Perceptron to find the best algorithm in the classification of leaf disease in corn plants, namely, cercospora leaf spot gray, common rust, and northern leaf blight using the VGG-16 deep learning model used as image feature extraction. The results showed that the Multilayer Perceptron algorithm produced the best values with accuracy, precision, and recall of 97.4% each. Indonesian Society of Applied Science 2023-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/484 10.52158/jacost.v4i1.484 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 1 - 6 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/484/194 Copyright (c) 2023 Jaka Kusuma, Rubianto, Rika Rosnelly, Hartono, B. Herawan Hayadi

oai:ojs2.journal.isas.or.id:article/486 2025-08-05T08:09:48Z JACOST:ART driver

Arsitektur Convolutional Neural Network untuk Model Klasifikasi Citra Batik Yogyakarta Prayoga, Arya Maimunah Sukmasetya, Pristi Muhammad Resa Arif Yudianto Rofi Abul Hasani Yogyakarta Batik Motifs Image Classification CNN Architecture Batik is an Indonesian culture that has been recognized as a world heritage by UNESCO. Indonesian batik has a variety of different motifs in each region. One area that is famous for its batik motifs is Yogyakarta. Yogyakarta has a variety of batik motifs such as ceplok, kawung, and parang which can be differentiated based on the pattern. Yogyakarta batik motifs need to be preserved so they do not experience extinction, one way is by introducing Yogyakarta batik motifs. The recognition of Yogyakarta batik motifs can utilize technology to classify images of Yogyakarta batik motifs based on patterns using the Convolutional Neural Network (CNN). The Yogyakarta batik motif images used for classification totaled 600 images consisting of 3 different motifs such as ceplok, kawung, and parang. Image classification using CNN depends on the architectural model used. The CNN architecture consists of two stages, namely Convolutional for feature extraction and Neural Network for classification. The CNN architectural models made for the introduction of Yogyakarta batik motifs totaled 7 models which were distinguished at the feature extraction stage. The highest accuracy results in the classification of Yogyakarta batik motif images using CNN were obtained in the 6th model. The 6th model has an accuracy of 87.83%, an average precision of 88.46% and an average recall of 87.66%. The accuracy, precision, and recall values ​​obtained by the 6th model are above 80%, which means that the 6th model can classify Yogyakarta batik motifs quite well. Indonesian Society of Applied Science 2023-11-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/486 10.52158/jacost.v4i2.486 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 82 - 89 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/486/229 Copyright (c) 2023 Arya Prayoga, Maimunah, Pristi Sukmasetya, Muhammad Resa Arif Yudianto, Rofi Abul Hasani

oai:ojs2.journal.isas.or.id:article/488 2025-08-05T08:09:46Z JACOST:ART driver

Implementasi Re-design UI/UX Website Fumigasi Untuk Meningkatkan Customer Experience Faisal Maulana Akbar Ayouvi Poerna Wardhanie2 Tan Amelia Website User Interface User Experience Double Diamond User Experience Questionnare Usability Testing Fumigation website is a website owned by PT. Prana Argentum which is used as a platform for disseminating information related to pest control. However, based on interviews with company owners, there are some drawbacks such as the appearance of the website is not very user friendly, the information provided is difficult to find. This is also supported by the results of the UEQ pre-survey of website users, where the results of the 6 UEQ scale get the "bad" criterion, which means the low usability value of the website. This study aims to determine the suitability of the company's website in improving customer experience. To overcome the display problems on the website, a solution is needed, namely redesigning the UI/UX design using the double diamond methodology and usability testing along with UEQ. The result of this research is a redesign of the UI/UX design by adding new features such as a price quote feature, an appointment feature, and a transaction feature. To improve the customer experience, researchers also pay attention to the use of colors, fonts, language styles, to user-friendly navigation flows. In this study, two types of tests were carried out, namely usability testing with the Maze tools and UEQ testing. The usability testing results obtained a usability score of 87 which can be said to be good in terms of its usability value. Based on the results of the UEQ test, it is known that there is an increase in the mean value on all UEQ scales. It is proved that the highest mean value is on the perspicuity scale of 2.09 points and the lowest value is on the novelty scale with a value of 1.53 points. the results of the UI/UX website design of PT. Prana Argentum Corporation is classified as good, proper, and acceptable to users. Indonesian Society of Applied Science 2023-11-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/488 10.52158/jacost.v4i2.488 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 90 - 99 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/488/230 Copyright (c) 2023 Faisal Maulana Akbar, Ayouvi Poerna Wardhanie2, Tan Amelia

oai:ojs2.journal.isas.or.id:article/489 2025-08-05T08:09:37Z JACOST:ART driver

Klasifikasi Metode Data Mining untuk Prediksi Kelulusan Tepat Waktu Mahasiswa dengan Algoritma Naïve Bayes, Random Forest, Support Vector Machine (SVM) dan Artificial Neural Nerwork (ANN) Satrio Junaidi Valicia Anggela, Rani Kariman, Delsi : data mining, naïve bayes, python 3, tepat waktu Timely graduation of students is essential for determining the quality of college. Universities must know the percentage of students' ability to complete their studies on time. So, to deal with this problem, data mining classification is carried out to predict student graduation on time to find patterns for student on-time graduation predictions. This research can yield new information to help colleges anticipate student graduations that are not on time. The method used is a classification data mining method with 4 algorithms: naïve Bayes, random forest, support vector machine (SVM), and artificial neural network (ANN). The attributes used are gender, parental income, length of guidance, working student status or not, semester 1 to semester 8 grades, and GPA. This study used Python 3 programming language on jupyter notebooks in Anaconda to process datasets. The distribution of datasets is divided by 70% for training data and 30% for testing data. The results of this study were obtained with the best algorithm accuracy in the support vector machine (SVM) algorithm is 0.94. Based on the results of this study, the accuracy is good for predicting student graduation on time. Indonesian Society of Applied Science 2024-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/489 10.52158/jacost.v5i1.489 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 109 - 119 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/489/308 Copyright (c) 2024 Satrio Junaidi, Rani Valicia Anggela, Delsi Kariman

oai:ojs2.journal.isas.or.id:article/490 2025-08-05T08:09:52Z JACOST:ART driver

Implementasi Sistem Reminder Jadwal pada eLearning Moodle Berbasis API Menggunakan Framework Flutter Putra, M. Yudha Kurniawan, Dwi Ely reminder elearning flutter lecture schedule This research aims to develop a Flutter-based mobile application that provides users with information regarding class schedules and assignments. The application includes a reminder feature that sends notifications about lectures and assignments through WhatsApp and in-app notifications. The development methodology employed is the waterfall model, while testing utilizes black-box testing and Firebase Test Lab. The test results demonstrate the successful development of the application. Additionally, this application facilitates efficient and easy access to class schedules and assignments. It is expected to enhance users' academic performance and be applicable across various educational institutions. Overall, the development of this application offers users the advantage of effectively and efficiently managing study time and completing tasks, thereby contributing to the improvement of educational quality within institutions. Indonesian Society of Applied Science 2023-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/490 10.52158/jacost.v4i1.490 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 7 - 11 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/490/195 Copyright (c) 2023 M. Yudha Putra, Dwi Ely Kurniawan

oai:ojs2.journal.isas.or.id:article/491 2025-08-05T08:09:48Z JACOST:ART driver

Analisis Perbandingan Metode Regresi Linier, Random Forest Regression dan Gradient Boosted Trees Regression Method untuk Prediksi Harga Rumah Fitri, Evita House Prediction Machine Learning Linear Regression Random Forest Comparative Price The need for a place to live is one that many people prepare, both millennials and adults and the elderly. With the continued increase in population growth in Indonesia and increasing public interest in buying a place to live early on, this can make not all groups of people have a place to live or a house that is quite livable. Related to this, the public needs up-to-date information related to predictions of house prices both for housing and second-hand housing prices for planning purposes in the future. The purpose of this study is to carry out a comparative analysis of the prediction results of house prices with several Machine Learning algorithms consist of Linear Regression, Random Forest Regression and Gradient Boosted Trees Regression. Evaluation for all the method applying Cross-Validation. The evaluation is seen from the smallest Root Mean Square Error (RMSE) error rate of each testing method. The results of this study are the Random Forest Regression obtained an RMSE value of 0.440, the Linear Regression model obtained an RMSE value of 0.515 and the RMSE value of Gradient Boosted Trees Regression of 0.508. The results were obtained from testing a dataset of 2011 records with a division of 80% for data training and 20% for data testing, the data has 6 attributes used in testing including house prices, land area, building area, number of bathrooms, number of bedrooms and the number of garages. In this study, prediction results using the Random Forest Regression method yielded the highest accuracy of 81.5% compared to the Linear Regression and Gradient Boosted Trees Regression methods. Indonesian Society of Applied Science 2023-07-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/491 10.52158/jacost.v4i1.491 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 58 - 64 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/491/202 Copyright (c) 2023 Evita Fitri

oai:ojs2.journal.isas.or.id:article/493 2025-08-05T08:09:49Z JACOST:ART driver

Systematic Literature Review: Analisa Sentimen Masyarakat terhadap Penerapan Peraturan ETLE Pane, Syafrial Fachri Amrullah, Muhammad Syiarul sentiment analysis Systematic Literature Review Machine Learning Social Media Natural Language Processing This study examines the efforts to develop a model for analyzing public sentiment regarding applying ETLE (Electronic Traffic Law Enforcement) regulations. The method used is the systematic literature review. A systematic literature review (SLR) consists of three stages: planning, conducting, and reporting. The planning stage is the determination of the SLR procedure. This stage includes preparing topics, research questions, article search criteria & inclusion and exclusion criteria. The conducting stage, namely the implementation, includes searching for articles and filtering articles. The reporting stage is the final stage of SLR. This stage includes writing the SLR results according to the article format. The explanation follows: First, hybrid is the most widely used method in developing sentiment analysis models. Apart from hybrid, several methods are used to develop sentiment analysis models, including multi-task, deep, and machine learning. Each has its advantages and disadvantages in the development of sentiment analysis models. Second, this study shows the development of a model with superior performance, namely using XGBoost as a sentiment analysis model, and the stages it goes through are preprocessing data, handling imbalanced data, and optimizing the model. Therefore, the model for analyzing public sentiment regarding the application of ETLE regulations can be an option for hybrid methods, multi-task learning, deep learning, machine learning, and the XGBoost model to obtain superior performance with preprocessing data stages, handling imbalanced data and optimization models. Indonesian Society of Applied Science 2023-07-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/493 10.52158/jacost.v4i1.493 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 65 - 74 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/493/203 Copyright (c) 2023 Syafrial Fachri Pane, Muhammad Syiarul Amrullah

oai:ojs2.journal.isas.or.id:article/504 2025-08-05T08:09:52Z JACOST:ART driver

Analisis Usability pada Human Capital Management System PT. XYZ menggunakan WEBUSE Model Mayanda, Alia Mutia Agnes Sondita Payani Adenia Adiresta Imairi Eitiveni usability evaluation, usability testing, WEBUSE, HCMS, online self-service Human Capital Management System (HCMS) has become a necessity for organizations to perform administrative personnel services. PT XYZ started implementing HCMS in 2019 as an online self-service for personnel administration, which was previously done manually. During this transition phase, not all employees understand how to use the HCMS system due to its confusing interface. As a result, many employees still prefer assistance from the HR/IT team to make changes to their data rather than doing it themselves. This research was conducted to analyze the usability of the HCMS system using the WEBUSE method. There are four categories used: Content, Organization, and Readability (COR); Navigation and Links (NAL); User Interface Design (UID); and Performance and Effectiveness (PAE). Each category serves as a basis for measuring usability. Data was collected through questionnaires and interviews with respondents to obtain values and levels of WEBUSE usability based on user satisfaction aspects In the case study of this research, it was obtained from the results of the questionnaire distributed as many as 13 respondents stated that in general, the usability of the HCMS system was at the Good level. This research provides recommendations for improving the self-service HCMS based on the needs or experiences of employees using the system. Also contributes to the scientific study of UI/UX and provides an ideal overview practitioner in developing an HCMS system. Indonesian Society of Applied Science 2023-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/504 10.52158/jacost.v4i1.504 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 12 - 18 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/504/196 Copyright (c) 2023 Alia Mutia Mayanda, Agnes Sondita Payani, Adenia Adiresta, Imairi Eitiveni

oai:ojs2.journal.isas.or.id:article/505 2025-08-05T08:09:51Z JACOST:ART driver

Audit Keamanan Sistem Informasi Manajemen Rumah Sakit Dengan Framework COBIT 2019 Pada RSUD Palembang BARI Algiffary, Arief M. Izman Herdiansyah Yesi Novaria Kunang Security Audit Information System Hospital Management Information System Information System Security COBIT 2019 RSUD Palembang BARI This study examines the implementation of information system at RSUD Palembang BARI with the aim of enhancing information system security. In this context, a security audit is conducted using the COBIT 2019 framework. The COBIT 2019 domains and processes utilizing include EDM03, APO12, APO13, APO14, and DSS05. The research involves the identification and evaluation of information security risks, determination of necessary security controls, and ensuring compliance with the information security standards established by COBIT 2019. The findings indicate that the level of information system security at RSUD Palembang BARI is at level 3 (Defined), with a gap analysis difference of 1 level below the expected target. Based on the above results, efforts to improve and enhance the information system security at RSUD Palembang BARI are still needed. The use of information system security techniques such as vulnerability scanning, penetration testing, WAF, IDS and IPS, and data encryption, as well as improving security in terms of server physical aspects such as installing CCTV and restricting user access with access cards or fingerprints, can be implemented to ensure compliance with relevant information security standards. Consideration for obtaining security certifications, like ISO 27001, should also be taken. Additionally, the quality of human resources in terms of policy-making and the ability of employees to address threats and attacks on information system security should be improved through training and strengthening coordination among employees.   Indonesian Society of Applied Science 2023-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/505 10.52158/jacost.v4i1.505 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 19 - 26 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/505/197 Copyright (c) 2023 Arief Algiffary, M. Izman Herdiansyah, Yesi Novaria Kunang

oai:ojs2.journal.isas.or.id:article/511 2025-08-05T08:09:47Z JACOST:ART driver

SLR Systematic Literature Review: Metode Penilaian Kinerja Karyawan Menggunakan Human Performance Technology Habibi, Roni Artha Glory Romey Manurung employee, human performance technology, performance appraisal, systematic literature review Performance appraisal is an activity conducted by groups or individuals in a company with the aim of evaluating employee performance based on specific indicators. The purpose of this evaluation is to determine the level of employee performance, provide fair job opportunities, and enhance employee motivation and performance. The objective of this research is to review the literature that employs the Systematic Literature Review (SLR) method, while considering several aspects such as previous research on employee performance appraisal and human performance technology. Initially, the search was limited to 450 journals. Then, a review and further screening were conducted, resulting in 161 remaining journals using inclusion and exclusion criteria, yielding 17 journals that met the requirements. This research was conducted over several years to assess employee performance. Therefore, this systematic literature review is carried out to identify the methods used for employee performance appraisal and mentions that optimization algorithms and fuzzy comprehensive methods are used as evaluation methods to assess performance appraisal methods. Indonesian Society of Applied Science 2023-11-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/511 10.52158/jacost.v4i2.511 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 100 - 107 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/511/231 Copyright (c) 2023 Roni Habibi, Artha Glory Romey Manurung

oai:ojs2.journal.isas.or.id:article/521 2025-08-05T08:09:50Z JACOST:ART driver

Sistem Pendukung Keputusan PPDB di SMAN Unggul Dharmasraya Evi Yulia Susanti Acceptance of New Students, Decision Support System, Simple Additive Weighting, Waterfall Acceptance of New Students is the initial process in educational institutions to screen prospective students who meet the criteria set by the school. SMAN Unggul Dharmasraya screens prospective students through report cards and written tests. In terms of enthusiasts, this school is classified as a school that has a lot of enthusiasts because it is facilitated by boarding.Therefore, each committee selection process has difficulty in determining prospective students who will be accepted according to the criteria. From these problems the idea emerged to conduct research on the application of decision support systems in accepting new students using the Simple Additive Weighting method. This method is known as the weighted sum method, because the basic concept of SAW is to find the weighted sum of the performance ratings for each alternative on all attributes so that this method can assist in the ranking process based on the results of the assessment of predetermined criteria. The rating of each attribute must be dimension-free in the sense that it has passed the previous matrix normalization process. The purpose of this research was to assist the admissions committee for new students in making decisions to determine prospective new students according to predetermined criteria and weights. The system development model used is the waterfall model, because this model uses a systematic and sequential approach. The results of this study are a decision support system using the Simple Additive Weighting method from calculating the prevalence value, there are several alternatives that can be recommendations for the committee to get prospective students who meet the criteria determined by the school. Indonesian Society of Applied Science 2023-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/521 10.52158/jacost.v4i1.521 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 34 - 41 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/521/199 Copyright (c) 2023 Evi Yulia Susanti

oai:ojs2.journal.isas.or.id:article/524 2025-08-05T08:09:49Z JACOST:ART driver

Optimasi Algoritma Support Vector Machine Berbasis PSO Dan Seleksi Fitur Information Gain Pada Analisis Sentimen Sharazita Dyah Anggita Ferian Fauzi Abdulloh Information Gain SVM PSO Sentiment analysis is a method for processing consumer reviews. This study examines the application of the Support Vector Machine (SVM) algorithm based on PSO and Information Gain as feature selection to filter attributes as a form of optimization. Algorithm implementation in sentiment analysis is carried out by applying a test scenario to measure the level of accuracy of the several parameters used. Selection of the Information Gain feature using the top-k parameter yields an accuracy value of 85.3%. Algortima optimization applying information gain feature selection on the PSO-based SVM resulted in an optimal accuracy rate of 86.81%. The resulting increase in accuracy is 18.84% compared to the application of classic SVM without PSO-based information gain feature selection. Applying information gain feature selection on the PSO-based SVM algorithm can increase the accuracy value in the online sentiment review analysis. Indonesian Society of Applied Science 2023-07-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/524 10.52158/jacost.v4i1.524 Journal of Applied Computer Science and Technology; Vol. 4 No. 1 (2023): Juni 2023; 52 - 57 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/524/201 Copyright (c) 2023 Sharazita Dyah Anggita, Ferian Fauzi Abdulloh

oai:ojs2.journal.isas.or.id:article/532 2025-08-05T08:09:45Z JACOST:ART driver

Penerapan Metode Economic Order Quantity dan Reorder Point Pada Aplikasi Pengelolaan Persediaan Fumigasi Faleri, Farel Sudarmaningtyas, Pantjawati Hananto, Valentinus Roby Reorder Point Economic Order Quantity Out of Stock Fumigation Fumigation controls pests by sealing a room using methyl bromide (CH3Br) and oxygen gas. This process requires a gas mask, fumigation plastics, sand snakes, and a certificate. The interview revealed that specific supply shortages cause fumigation delays in 15% of monthly orders. This research aims to develop an inventory control application by applying the economic order quantity (EOQ) and reorder point (ROP) methods to overcome the problem of running out of stock. The EOQ method determines the amount of inventory to order to avoid excess stock, while ROP determines the right time to order inventory. The study involved two types of testing: white box testing and comparing manual calculations with application calculations to determine their consistency using data from March to May. The white box testing results show that the program's internal structure and logic run well. This is supported by evidence that each test case can pass two flow graphs resulting from cyclomatic complexity calculations. In addition, the results of testing the EOQ and ROP method calculations show an insignificant difference between the results of manual calculations and application calculations of 3.87%. This proves that application calculations for EOQ and ROP are running correctly and by the researchers' expectations. Indonesian Society of Applied Science 2023-11-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/532 10.52158/jacost.v4i2.532 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 131 - 140 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/532/241 Copyright (c) 2023 Farel Faleri, Pantjawati Sudarmaningtyas, Valentinus Roby Hananto

oai:ojs2.journal.isas.or.id:article/539 2025-08-05T08:09:46Z JACOST:ART driver

Rancang Bangun Sistem Informasi Audit Mutu Internal Norfifah Julianto, Veri Julianto Yunita Prastyaningsih internal quality audit, design, waterfall method, website Internal quality audits are conducted within the internal quality assurance system (SPMI) of higher education institutions to ensure compliance with SPMI standards and enhance a quality culture. Constraints in implementing internal quality audits include limitations in human resources, time, and costs, as well as the complexity of audit stages and documentation of audit findings. To address these challenges, a website-based information system has been designed using the waterfall method and the Unified Modeling Language (UML) approach, utilizing the PHP framework CodeIgniter and a MySQL database. The system aims to digitize and automate the implementation of internal quality audits to enhance effectiveness and efficiency. Additionally, it facilitates the management and storage of internal quality audit documents. For testing purposes, black-box testing is employed, consisting of 10 different test types. The testing results indicate a 90% success rate, while 10% of the data did not succeed due to the limitation of inputting text HTML. Indonesian Society of Applied Science 2023-11-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/539 10.52158/jacost.v4i2.539 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 108 - 117 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/539/232 Copyright (c) 2023 Norfifah, Veri Julianto Julianto, Yunita Prastyaningsih

oai:ojs2.journal.isas.or.id:article/544 2025-08-05T08:09:46Z JACOST:ART driver

SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier Hudaya, Rida Hepi Ludiyati Feni Isdaryani Muhamad Rafhi Rihadatus Syawal Julian Harith Al Banny Hudaya Nitrite, NED, EBN, light spectrum, linear regression Indonesia is the largest exporter of edible bird’s nest (EBN) to China, involving many EBN farmers from various regions in Indonesia. Therefore, a portable device is needed to rapidly and accurately measure the required quality of SBW to avoid rejection by Chinese buyers, which could result in significant losses. Consequently, for this purpose, an electronic instrument has been developed. smartAgro-Spectral is a microcontroller-based electronic instrument that measures nitrite content in edible bird’s nest (EBN) using linear regression method in machine learning calculations. This instrument can measure nitrite content based on the intensity of colors produced by EBN products. The coloring process is carried out by mixing EBW powder with Sulphanilamide solution and N-(1-naphthyl) Ethylenediamine Dihydrochloride (NED) solution. The concentration of EBN solution is normalized to values between 0.2 ppm and 0.7 ppm. The measurement process is carried out by emitting 18 waves of the light spectrum. The intensity of the 18 wavelengths of the measured light spectrum was selected based on the strong correlation between the intensity of the light spectrum and the value of nitrite content in the EBN product. The measurement results show that the intensity of the light spectrum that has a strong linear correlation is at wavelengths of 460 nm, 485 nm, 510 nm, 535 nm, and 610 nm. So, smartAgro-Spectral electronic instruments can be realized based on the intensity relationship of each wavelength through multiple linear regression analysis, and are able to linearly measure nitrite content in EBW products with a precision level of 99.85% and an accuracy rate of 99.85%. Indonesian Society of Applied Science 2023-11-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/544 10.52158/jacost.v4i2.544 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 118 - 123 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/544/233 Copyright (c) 2023 Rida Hudaya, Hepi Ludiyati, Feni Isdaryani, Muhamad Rafhi Rihadatus Syawal, Julian Harith Al Banny Hudaya

oai:ojs2.journal.isas.or.id:article/556 2025-08-05T08:09:45Z JACOST:ART driver

Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C Tjen, Jimmy Pratama, Valentino distance correlation Hepatitis C Diagnostic pathway Machine learning Classification tree Hepatitis is considered to be one of the most dangerous diseases, which often leads to death if not handled properly. Thus, early detection via precise diagnosis is needed in order to prevent the unfortunate event. This research aims to provide a novel hepatitis C diagnosis based on the machine learning algorithm, which is the classification tree from the decision tree learning and the distance correlation, which measures the Euclidean distance between 2 vectors. In particular, the goal is to develop a low computational cost yet precise algorithm for diagnosing the possibility of whether a person is being infected with Hepatitis C or not. Based on the experiment, the distance correlation-based classification tree algorithm outperforms the classical classification tree algorithm by around 3% while using only 7 features instead of 12 as in the classical algorithm. Furthermore, the algorithm identified albumin (ALB),  Creatinine (CREA), Bilirubin (BIL), Aspartate Transaminase (AST) and Cholesterol (CHOL) as significant risk factors in determining whether someone is potentially infected with hepatitis C or not, with Creatinine is identified as the most important parameter among all 5 parameters mentioned above. Indonesian Society of Applied Science 2023-11-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/556 10.52158/jacost.v4i2.556 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 124 - 130 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/556/234 Copyright (c) 2023 Jimmy Tjen, Valentino Pratama

oai:ojs2.journal.isas.or.id:article/577 2025-08-05T08:09:44Z JACOST:ART driver

Implementasi Model TAM pada Sistem Informasi Presensi Online Menggunakan Face Recognition dan GPS Setiya Putra, Yusuf Wahyu TAM sistem informasi presensi recognition GPS This study aims to analyze system user acceptance of online attendance information systems with face recognition and GPS using the variables Perceived Ease of Use, Perceived Usefulness and Attitude toward Using contained in the TAM model. (Technology Acceptance Model). Respondents used as many as 45 people consist of teachers, teaching staff and students. Questionnaires were used to obtain data that had been tested for validity and reliability which were then analyzed using multiple linear regression techniques. The results of the analysis of the 1st regression equation show that the variable Perceived Usefullness (X1) has a significant influence on the variable Attitude toward Using (Y) with a t count of 4.114 with a significance of p = 0.000 (<0.05). The variable Perceived Ease of Use (X2) has a significant effect on the variable Attitude Toward Using (Y) with t count 2.898 with a significant p = 0.010 (<0.05). The results of the analysis of the second regression equation show that the variables X1 and X2 together have a significant effect on Attitude toward Using (Y) because the statistical value F count = 23.556 with a significance p = 0.000 (<0.05). Indonesian Society of Applied Science 2023-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/577 10.52158/jacost.v4i2.577 Journal of Applied Computer Science and Technology; Vol. 4 No. 2 (2023): Desember 2023; 147 - 154 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/577/243 Copyright (c) 2023 Yusuf Wahyu Setiya Putra

oai:ojs2.journal.isas.or.id:article/637 2025-08-05T08:09:44Z JACOST:ART driver

Deteksi Helm Keselamatan Menggunakan Jetson Nano dan YOLOv7 Hadi Supriyanto Sarosa Castrena Abadi Aliffa Shalsabilah Alat Pelindung Diri Helm Keselamatan YOLOv7 Jetson Nano Telegram Increasing awareness of the importance of head personal protective equipment in industrial and construction environments has become a major concern in efforts to improve occupational safety. This research developed an early detection system for the use of computer vision-based head protective equipment using the YOLOv7 model and the Jetson Nano controller. The YOLOv7 algorithm was chosen for its ability for fast and accurate object detection. The YOLOv7 model was trained with a total dataset of 2799 images and iterations of 100 epochs to detect head personal protective equipment with a high degree of accuracy. The system captures imagery, activates a warning alarm, and sends a notification to Telegram when a violation occurs on an object that is not wearing a safety helmet. The test results using the confusion matrix method showed that the developed system was able to detect head personal protective equipment with an accuracy rate of 97.23%, which shows the system's ability to recognize personal protective equipment with very high accuracy. In addition, the system also showed a precision value of 98.71% indicating that all detections performed were correct, and a recall of 95.63% which describes the system's ability to recognize most of the head personal protective equipment available. The average FPS result using GPU with CUDA on Jetson Nano reached 5,723 FPS. Indonesian Society of Applied Science 2024-02-03 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/637 10.52158/jacost.v5i1.637 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 1 - 8 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/637/267 Copyright (c) 2024 Hadi Supriyanto, Sarosa Castrena Abadi, Aliffa Shalsabilah

oai:ojs2.journal.isas.or.id:article/641 2025-08-05T08:09:41Z JACOST:ART driver

Prototipe Deteksi Letak Kebocoran Pipa dengan Optimalisasi Kinerja Penerimaan Paket LoRa menggunakan Pengkodean Parameter Fisik Herdiyanto, Dedy Wahyu Alfian, Freska Meliniar Sarwono, Catur Suko Setiabudi, Dodi Eska, Andrita Ceriana Laagu, Muh. Asnoer bandwidth, coding Rate, LoRa SX1278, physical parameter encoding, pipeline leak detection, spreading factor The purpose of this research is to determine the effect of the physical coding of LoRa communications on monitoring water pipelines. Optimizing the performance of packet receivers in the LoRa communication system using coding on the physical parameters SF (spreading factor), BW (bandwidth), and CR (coding rate). The detection system consists of 3 sensor nodes, 3 intermediate nodes, and 1 receiver node. Data from these sensors is sent to a cloud database. The SX1278 LoRa communication module works using a 433 MHz frequency. During the transmission process on the LoRa communication system, optimization is carried out for receiving data packets using the parameter coding method of physical spread factors, bandwidth, and coding rate. As a result of the research, it is shown that the greater the value of the third parameter (SF, BW, and CR), such as improvement in packet reception performance, improvement in bit security, and increasing packet resistance to various disturbances in transmission, but the time required for sending data be longer. The optimal parameters for detecting pipe leak locations include SF 10, BW 500 KHz, and CR 4/8. The LoRa SX1278 scenario is optimal with a distance of 400 meters, where packet and byte reception are obtained 100%. Indonesian Society of Applied Science 2024-03-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/641 10.52158/jacost.v5i1.641 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 40 - 49 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/641/279 Copyright (c) 2024 Dedy Wahyu Herdiyanto, Freska Meliniar Alfian, Catur Suko Sarwono, Dodi Setiabudi, Andrita Ceriana Eska, Muh. Asnoer Laagu

oai:ojs2.journal.isas.or.id:article/648 2025-08-05T08:09:42Z JACOST:ART driver

Chatbot Informasi Penerimaan Mahasiswa Baru Menggunakan Metode FastText dan LSTM Fahmi Yusron Fiddin Komarudin, Agus Melina, Melina Chatbot, Information, fastText, LSTM, Natural Language Processing New Student Admission (PMB) is an important stage in the continuity of education in an educational institution. The Faculty of Science and Informatics (FSI) at Jenderal Achmad Yani University (UNJANI) provides information services about PMB to prospective students and parents/guardians of prospective students but is still inefficient, so it is necessary to improve PMB information services by using Chatbots as a solution that is able to serve questions effectively and consistent. This study aims to develop a PMB information Chatbot system for FSI using the FastText and Long Short-Term Memory (LSTM) methods. Several methods have been used in Chatbot development research, such as Term Frequency–Inverse Document Frequency (TF-IDF), Bag of Words (BoW), and Convolutional Neural Networks (CNN). However, these studies still have certain limitations, such as the inability to grasp the meaning of words and difficulties in handling certain inputs. In this study, the text classification model uses the FastText method as the stage for representing words in vector form, then combined with several pre-processing methods (Tokenization & Casefolding) and LSTM for the classification stage. Then put it into the Chatbot component according to the architecture that was made. In testing, the Black Box Testing method is used to ensure the functionality of the Chatbot system. The test results show that the Chatbot system is able to understand the topic of questions asked by users properly. The interaction between users and Chatbots also runs smoothly, resulting in appropriate and informative responses. The results of this study are expected to be an effective and consistent solution for providing information about PMB to prospective students and parents/guardians of prospective students at FSI. Indonesian Society of Applied Science 2024-02-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/648 10.52158/jacost.v5i1.648 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 33 - 39 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/648/271 Copyright (c) 2024 Fahmi Yusron Fiddin, Agus Komarudin, Melina Melina

oai:ojs2.journal.isas.or.id:article/655 2025-08-05T08:09:41Z JACOST:ART driver

Deteksi Clickbait pada Judul Berita Online Berbahasa Indonesia Menggunakan FastText Liebenlito, Muhaza Yesinta, Arlianis Arum Musti, Muhamad Irvan Septiar FastText, klasifikasi teks, berita daring, clickbait The rise of people accessing news portals has created intense competition between online media to get readers or visitors to maximize their revenue. This is what triggers the development of clickbait. Clickbait can reduce the quality of the news itself, and it also has the potential to be misinformation regarding to news contents as known as fake news. Therefore, it is necessary to detect news titles that contain clickbait. This study aims to obtain an optimal clickbait news title classification model using FastText. To get the optimal model can be done by cleaning the data and optimizing the model's hyperparameters. The model was trained using 9600 training data collected from Indonesian online news. The best model obtained in this study has performance with an accuracy of 77% and an F1-Score of 69%.   Indonesian Society of Applied Science 2024-03-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/655 10.52158/jacost.v5i1.655 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 56 - 62 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/655/281 Copyright (c) 2024 Muhaza Liebenlito, Arlianis Arum Yesinta, Muhamad Irvan Septiar Musti

oai:ojs2.journal.isas.or.id:article/670 2025-08-05T08:09:43Z JACOST:ART driver

Desktop Application for Traceability System on The Printed Circuit Board (PCB) Storage Process Alvin Rudiawan Jamzuri, Eko traceability systems barcode product tracking PCB Printed Circuit Board This paper discusses the development of desktop applications for traceability systems. The application was developed to facilitate data recording and tracking in an electronics manufacturing company's storage process of Printed Circuit Board (PCB) products. The application is developed using the Visual Basic language and Microsoft Excel databases. Additionally, the application is integrated with a barcode scanner to simplify the data entry process from PCBs and employee ID cards. Through the trial process conducted on the developed application, it has generally functioned in accordance with the development goals. Program control validation has been tested through several application access attempts from users registered as operators and administrators. The application has successfully recorded data from inbound and outbound processes, demonstrating storage and tracking functionality. Furthermore, the application has displayed the actual status data of the PCBs present in the warehouse. In terms of user satisfaction, seven users stated that this application was effective and efficient compared to the manual data recording process previously used by the company. This result was obtained from a questionnaire after the application was implemented in the company warehouse. Indonesian Society of Applied Science 2024-02-03 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/670 10.52158/jacost.v5i1.670 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 9 - 15 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/670/268 Copyright (c) 2024 Alvin, Eko Rudiawan Jamzuri

oai:ojs2.journal.isas.or.id:article/715 2025-08-05T08:09:43Z JACOST:ART driver

Analisis Sentimen: Pengaruh Jam Kerja Terhadap Kesehatan Mental Generasi Z Muhammad Daffa Al Fahreza Ardytha Luthfiarta Muhammad Rafid Michael Indrawan Sentiment Analysis Gaussian Naïve Bayes Support Vector Machine Stemming Algorithm Mental Health Generation Z Mental health is a significant concern in society today, particularly for Generation Z, who are vulnerable to experiencing mental health problems that can disrupt daily productivity. The influence of working hours also contributes to the mental health of this generation. To assess public opinion on this issue, sentiment analysis is needed on social media, especially twitter. This research uses the Gaussian Naïve Bayes algorithm and Support Vector Machine with various stemming algorithms such as Nazief-Adriani, Arifin Setiono, and Sastrawi. The sentiment analysis method is used to assess positive, negative, and neutral sentiment in related tweets. The research results show that the Sastrawi stemming algorithm on the Gaussian Naïve Bayes model achieves 84% precision, 84% recall, and 84% f1-score, with 84% accuracy. Meanwhile, Support Vector Machine achieved 91% precision, 90% recall, 90% f1-score, and 91% accuracy. The Nazief-Adriani stemming algorithm on the Gaussian Naïve Bayes model has 80% precision, 80% recall, and 80% f1-score, with 80% accuracy. Meanwhile, on the Support Vector Machine, precision is 87%, recall is 85%, f1-score is 86%, and accuracy is 85%. Arifin Setiono's stemming algorithm on the Gaussian Naïve Bayes model achieved 81% precision, 81% recall, 81% f1-score, with 82% accuracy, while on Support Vector Machine, 88% precision, 86% recall, 86% f1-score, with 86% accuracy. Public opinion was recorded as 33% positive, 9% neutral, and 58% negative. This research aims to increase public awareness of the importance of mental health, especially regarding the influence of working hours, to create a healthy work environment for Generation Z and society in general, as well as improving the quality of mental health. Indonesian Society of Applied Science 2024-02-03 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/715 10.52158/jacost.v5i1.715 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 16 - 25 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/715/269 Copyright (c) 2024 Muhammad Daffa Al Fahreza, Ardytha Luthfiarta, Muhammad Rafid, Michael Indrawan

oai:ojs2.journal.isas.or.id:article/716 2025-08-05T08:09:42Z JACOST:ART driver

Aktivitas Dinamis pada Appreciative Game “Warik the Adventurer” berbasis Finite State Machine Naufal, Muhammad Rakha' Haryanto, Hanny Hastuti, Khafiizh Nathania, Nita Virena appreciative learning dynamic game activity finite state machine game experience serious game Serious games have become potential tools for education due to their advantage of giving a fun experience to the learner. Therefore, game experience is a fundamental element in serious game design. The game experience is mainly produced by the game activity, such as a quest or mission.  However, in many serious games, the game activities do not have a clear design and concept, resulting in a poor playing experience which produce poor understanding of the material. Appreciative Game is a game that is based on Appreciative Learning concept. Appreciative Learning concepts could be used to design game activities. Appreciative Learning consists of four main stages. The stages are discovery, dream, design, and destiny. These four stages lay down the foundation of serious game activity. This study uses the Finite State Machine to produce intelligent agents in order to develop more dynamic game activity to enhance the game experience.  We developed a 3D game called Warik the Adventurer as the testbed for this research. The game is about the cultural diversity in Indonesia. The game Experience Questionnaire (GEQ) is used to evaluate the player experience. The GEQ resulted in an acceptable score of 3 out of 5. Indonesian Society of Applied Science 2024-02-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/716 10.52158/jacost.v5i1.716 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 26 - 32 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/716/270 Copyright (c) 2024 Muhammad Rakha' Naufal, Hanny Haryanto, Khafiizh Hastuti, Nita Virena Nathania

oai:ojs2.journal.isas.or.id:article/741 2025-08-05T08:09:39Z JACOST:ART driver

Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier Steven Joses Yulvida, Donata Rochimah, Siti weather prediction machine learning ensemble method soft voting classifier Weather conditions are one of the crucial factors that need attention. Changes in weather conditions significantly impact various activities. Weather condition changes are determined by numerous factors, often occurring within a relatively short period in the atmosphere, such as pressure, wind speed, rainfall, temperature, and other atmospheric phenomena. Issues in weather forecasting arise due to several factors, namely the fluctuating atmospheric conditions. This research proposes the development of a weather forecasting model using the ensemble learning method approach. The weather data used consist of 33746 records with attributes used after preprocessing, namely Temperature, Dew Point, Humidity, Wind Speed, Wind Gust, Pressure, Precipitation, and Condition. Testing in this research employs several single-machine learning methods such as K-Nearest Neighbor (KNN), Logistic Regression, Random Forest, Naive Bayes, and Multi-Layer Perceptron. The Naive Bayes method using default parameters achieves a high accuracy of 99.00%. In the ensemble method, combinations of three methods exhibit excellent accuracy for all combinations. The best combination methods are found in the Soft Voting Classifier method (Random Forest, MLP, Naive Bayes), Soft Voting Classifier (Logistic Regression, MLP, Naive Bayes), and Soft Voting Classifier (Random Forest, KNN, Naive Bayes) with an accuracy of 99.03%.   Indonesian Society of Applied Science 2024-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/741 10.52158/jacost.v5i1.741 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 72 - 80 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/741/304 Copyright (c) 2024 Steven Joses

oai:ojs2.journal.isas.or.id:article/742 2025-08-05T08:09:40Z JACOST:ART driver

Perbandingan Metode Random Forest, Convolutional Neural Network, dan Support Vector Machine Untuk Klasifikasi Jenis Mangga Mardianto, Ricky Stefanie Quinevera Rochimah, Siti classification image processing mango Convolutional Neural Network Random Forest Support Vector Machine Mango is a fruit known as the "King of Fruit" due to its rich flavor, vast variability, and high nutritional value. Classifying mangoes based on their external appearance is the initial step in the process of identifying and categorizing mango types conventionally. The classification process can be performed by examining external features such as fruit color, shape, and size. Classifying different types of mango fruits accurately can assist researchers in developing superior varieties and also aid farmers for cultivation purposes, sales, distribution, and selecting the right varieties for local growth and weather conditions. This research conducts the classification of mango types based on color from mango images using machine learning. The study compares three methods, namely Random Forest, Support Vector Machine (SVM), and Convolutional Neural Network (CNN), to determine the best method for classifying mango types based on their images. The dataset underwent preprocessing, where image sizes were standardized to 300 x 300 pixels, and color was changed to grayscale. The dataset was then divided into training and testing data with a ratio of 70:30. Subsequently, the dataset was processed using three methods, and their accuracy results were compared. The findings indicate that the Random Forest method yielded the highest accuracy compared to the other methods, with an accuracy rate of 96%. The accuracy of the SVM method was 95%, and the accuracy of the CNN method was 33%. From these results, it can be concluded that the Random Forest method is highly effective for classifying mango types based on their image compared to SVM and CNN methods.   Indonesian Society of Applied Science 2024-05-12 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/742 10.52158/jacost.v5i1.742 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 63 - 71 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/742/288 Copyright (c) 2024 Ricky Mardianto, Stefanie Quinevera, Siti Rochimah

oai:ojs2.journal.isas.or.id:article/770 2025-08-05T08:09:38Z JACOST:ART driver

Identifikasi Tujuan Tata Kelola Teknologi Informasi PLT FST UIN Jakarta Menggunakan Framework COBIT 2019 Aeni Hidayah, Nur Nurbojatmiko Ade Arfani, Mizan Yuliwanda Anggi Kusumaatuti COBIT 2019, Goal Cascade, IT Governance Information technology (IT) has an important role in increasing efficiency and providing benefits to decision making in various sectors.  IT governance is important for organizational sustainability and performance.  This research focuses on the Integrated Laboratory Center (PLT) FST UIN Jakarta which still depends on external parties for IT governance, creating potential risks and uncertainty in its operations.  Therefore, this research aims to analyze the implementation of COBIT 2019 as a guide in identifying IT governance objectives that suit the needs of PLT FST UIN Jakarta.  The research method used in this research involves the COBIT 2019 theoretical approach, with a focus on the goal cascade concept.  This approach enables a systematic translation process of stakeholders' needs for IT systems into more specific goals and appropriate strategic steps.  The results show eight COBIT 2019 domains that are relevant to IT governance objectives in PLT, which include APO02 (Managed strategy), APO08 (Managed relationships), APO10 (Managed vendors), APO11 (Managed quality), BAI04 (Managed availability and capacity), DSS01 (Managed operations), DSS03 (Managed problems(, and MEA02 (Managed system of internal control)  The recommendations resulting from this research are designed to improve the performance and maturity of IT processes at PLT FST UIN Jakarta in accordance with the IT governance objectives that have been identified.  This is expected to provide a stronger foundation for managing and optimizing the use of IT to support operations and achieve organizational goals more effectively. Indonesian Society of Applied Science 2024-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/770 10.52158/jacost.v5i1.770 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 90 - 97 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/770/306 Copyright (c) 2024 Nur Aeni Hidayah, Nurbojatmiko, Mizan Ade Arfani, Yuliwanda Anggi Kusumaatuti

oai:ojs2.journal.isas.or.id:article/790 2025-08-05T08:09:39Z JACOST:ART driver

Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak Yovi Apridiansyah Wijaya, Ardi Pahrizal Rozali Toyib Arif Setiawan Digital Imagery, Detection, Frame Difference, Proccesing, Pixel This study discusses the detection of motion of objects in video by utilizing the Frame difference method which aims to process video so as to produce Frames on moving objects. The use of mobile cameras produces video data that is used as test data, the test data is processed with the Frame difference method so as to produce a number of Frames on moving objects in order to detect moving objects in the video because the function of this method is a form of video background reduction that is simplified by a number of pixels in the video. This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. When processed for detection, the absolute value in the pixel is greater than the predetermined threshold value, it will be considered as a moving object, so that the detection results from the motion detection process will form a box object on the moving object. In this study, the test data used used 20 video data samples with descriptions, 10 test data with bright quality (daytime) and 10 unlit test data (night) with the aim of being able to see how much the level of performance accuracy of the Frame difference method.  The test results obtained 16 out of 20 test data that were successfully detected correctly (True Positive), there were 2 test data that resulted in a False Positive error, and 2 test data that resulted in a False Negative error. This shows that the Frame difference method can provide a fairly high level of accuracy in detecting moving objects in the video. The percentage level of accuracy with confussion matrix testing has a precission value of 88%, recal 88% and an accuracy value of 80%. Indonesian Society of Applied Science 2024-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/790 10.52158/jacost.v5i1.790 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 81 - 89 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/790/305 Copyright (c) 2024 Yovi Apridiansyah, Ardi Wijaya, Pahrizal, Rozali Toyib, Arif Setiawan

oai:ojs2.journal.isas.or.id:article/809 2025-08-05T08:09:40Z JACOST:ART driver

Analisis Algoritma Klasifikasi Untuk Mengidentifikasi Potensi Risiko Kesehatan Ibu Hamil Purnama, Jajang Jaya Nina Kurnia Hikmawati Sri Rahayu Kesehatan ibu hamil, klasifikasi, hyperparameter tuning. The health of pregnant women has an important aspect in efforts to achieve the birth of a healthy baby. So early detection of the health of pregnant women has important. In this study the author identified potential maternal health risks for pregnant women by classifying them used machine learning which aims to analyze maternal health datasets with several algorithms including Random Forest, Extra Trees, Extreme Gradient Boosting, Decision Tree, and Light Gradient Boosting Machine. From several classification results carried out analysis and evaluation shown that the Random Forest classification algorithm provided optimal performance with an accuracy of 82,15%. These findings confirmed that the model created could identify complex patterns and relationships between features relevant to the classification of potential health risks for pregnant women at high, medium and low levels. These results have important implications in maternal care, because they cann help doctors and medical personnel make more appropriate and effective decisions in dealing with maternal health risks and provide insight into pregnant women from an early age regarding their health conditions. Indonesian Society of Applied Science 2024-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/809 10.52158/jacost.v5i1.809 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 120 - 127 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/809/309 Copyright (c) 2024 Jajang Jaya Purnama, Nina Kurnia Hikmawati, Sri Rahayu

oai:ojs2.journal.isas.or.id:article/812 2025-08-05T08:09:38Z JACOST:ART driver

Implementasi Re-design Application Mobile MRT Jakarta Menggunakan Metode User Centered Design Rahma Fahriyah, Diana Ikasari, Diana Widiastuti MRT, Mobile Application, User Interface, User Experience, User Center Design MRT Mobile Application is used to access information easily and quickly for MRT users, such as schedule information, routes, stations, fares, and other additional services. Based on observations and questionnaires regarding the MRT mobile application, users often experience difficulties or obstacles in interacting with the application interface. Starting with a complex interface, confusing navigation of features to difficulty finding the information you need quickly. This affects the use of the application and reduces the level of user satisfaction. Based on these conditions, it is necessary to redesign the user interface of this application to make it easier to use. This research uses User Centered Design (UCD) method with four phases, which is Understand Context of Use, Specify User Requirements, Design Solution, and Evaluation Against Requirements in analyzing the UI/UX design process of the MRT mobile application. In the design stage, UCD principles are used to integrate insights from user data into UI/UX design process based on results of questionnaire analysis. The final result of this research is a prototype design and user interface design for the MRT mobile application that meets the expectations of application users. Indonesian Society of Applied Science 2024-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/812 10.52158/jacost.v5i1.812 Journal of Applied Computer Science and Technology; Vol. 5 No. 1 (2024): Juni 2024; 98 - 108 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/812/307 Copyright (c) 2024 Diana Rahma Fahriyah, Diana Ikasari, Widiastuti

oai:ojs2.journal.isas.or.id:article/815 2025-08-05T08:09:35Z JACOST:ART driver

Identifikasi Kelayakan Air Minum Dengan Metode Analisis Komponen Utama Berbasis Entropi willay, Thommy Tjen, Jimmy Kartini, Paskalia Jimmy Iskandar, Riyadi Analisis Komponen Utama Air bersih Entropi Potabilitas air The need for clean water is a fundamental requirement that must be met by humans, as water constitutes 60 to 70% of the total human body weight. Therefore, it is important to be able to determine the quality of the water entering the body, as consuming unsafe water will bring various diseases, such as diarrhea, and in severe cases might lead to death. This study aimed to investigate the factors which determine the potability of drinking water. Specifically, this research aims to produce a fault detection algorithm that can detect the potability of water samples based on Principal Component Analysis (PCA) and entropy-based subset selection methods. This paper addresses the linearity problem that commonly occurred in PCA by finding a subset of data that has a good entropy relation among the parameters contained in the subset, thus maintaining linearity in the data. There were 8 parameters considered in this reseach: pH, hardness, total dissolved solids, chloramines, sulfate, conductivity, organics carbon, trihalomethanes and turbidity. The experiment was conducted with 811 water samples, where 645 samples were used to train the model and the rest for validating the model predictive accuracy. Based on experiments conducted, it is confirmed that the proposed algorithm can determine the potability of drinking water samples from synthetic data sourced from India with an accuracy of over 98% for potable water data and 100% for non-potable water data. Indonesian Society of Applied Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/815 10.52158/jacost.v5i2.815 Journal of Applied Computer Science and Technology; Vol. 5 No. 2 (2024): Desember 2024; 136 - 143 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/815/344 Copyright (c) 2024 Thommy willay, Jimmy Tjen, Paskalia Kartini, Riyadi Jimmy Iskandar

oai:ojs2.journal.isas.or.id:article/817 2025-08-05T08:09:37Z JACOST:ART driver

Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke Danis Rifa Nurqotimah Naseh Khudori, Ahsanun Siwi Pradini, Risqy stroke, support vector machine, klasifikasi Stroke or known as Cerebrovascular Accident (CVA) is a functional disorder caused by impaired blood flow function from within the human brain. Stroke carries a high risk of brain damage, paralysis, speech disorders, visual impairment, even death. Classification is one of a few methods in predicting stroke symptoms with the aim of obtaining accurate prediction of disease. The researchers implemented a method to classify stroke with the Support Vector Machine (SVM) algorithm. The SVM is a learning method used in medical diagnosis for classification, the researchers processed data sets using the Orange tool. The study used data sets from the data.world.com site with a total of 40,910 data. Using the Orange tool, the study managed to classify stroke disease well using the RBF kernel with cross validation techniques resulting in an accuracy of 94.8%. The results of this study can be concluded that the stroke classification model developed has excellent performance. Overall, these results indicate that the Stroke classification model developed is highly reliable and effective, with excellent ability to detect stroke cases and provide accurate predictions. Making better and quicker medical judgments can be aided by using this approach to diagnose strokes.   Indonesian Society of Applied Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/817 10.52158/jacost.v5i2.817 Journal of Applied Computer Science and Technology; Vol. 5 No. 2 (2024): Desember 2024; 179 - 185 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/817/349 Copyright (c) 2024 Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

oai:ojs2.journal.isas.or.id:article/860 2025-08-05T08:09:37Z JACOST:ART driver

Implementasi Keamanan Ruangan Berbasis IoT dengan Sensor PIR, Telegram, dan Peringatan Suara Adi, Adi Wibowo Kurniawan, Fandi Home security, Internet of Things, PIR sensor, real-time notifications, sound alerts, Home security is crucial for protecting property and occupant safety. Conventional technology often falls short in providing optimal protection. With advancements in the Internet of Things (IoT), smarter and more affordable security solutions are now accessible. This research develops an IoT-based room security system using a PIR sensor to detect motion, Telegram notifications for real-time communication, and sound alerts as preventive measures. The NodeMCU ESP8266 module processes data from the PIR sensor and transmits signals via WiFi. Test results show that the PIR sensor successfully detects motion up to 5 meters with a 93.33% success rate. The system also effectively sends real-time notifications to the Telegram app and provides efficient sound alerts. Thus, this system significantly enhances home security with minimal cost and complexity, offering convenience and quick response to users. Indonesian Society of Applied Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/860 10.52158/jacost.v5i2.860 Journal of Applied Computer Science and Technology; Vol. 5 No. 2 (2024): Desember 2024; 172 - 178 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/860/347 Copyright (c) 2024 Adi Wibowo Adi, Fandi kurniawan

oai:ojs2.journal.isas.or.id:article/873 2025-08-05T08:09:36Z JACOST:ART driver

Evaluasi Kerentanan Insecure Direct Object Reference pada Aplikasi Pendaftaran Sidang Universitas XYZ Prasetyo, Stefanus Eko Haeruddin Tiara Higher Education Application Security; Personal Data Protection; Security Vulnerability; Action Research Methodology. This study aims to analyze and evaluate the vulnerability of Insecure Direct Object Reference (IDOR) in the thesis registration web application at XYZ University, as well as to provide improvement recommendations to enhance the security of students' personal data. The IDOR vulnerability allows unauthorized access to students' personal documents, which can jeopardize privacy and information security. Utilizing an action research methodology consisting of four stages: diagnosis, action taking, evaluation, and learning, this research identifies the URL patterns generated when students upload documents such as ID cards, family cards, birth certificates, diplomas, and photos. During the action-taking phase, the researcher conducts attacks using Burp Suite to test the vulnerability by modifying URL parameters based on the identified patterns. The testing results indicate that all documents can be accessed without proper authorization, with a status code of 200 indicating successful access. These findings underscore the necessity for stricter security improvement measures in the thesis registration application to protect students' personal data. The implications of this research highlight the importance of implementing tighter access controls and better input validation in higher education applications to prevent potential data leaks in the future. This study makes a significant contribution to enhancing information security within educational environments. Indonesian Society of Applied Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/873 10.52158/jacost.v5i2.873 Journal of Applied Computer Science and Technology; Vol. 5 No. 2 (2024): Desember 2024; 165 - 171 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/873/348 Copyright (c) 2024 Stefanus Eko Prasetyo, Haeruddin, Tiara

oai:ojs2.journal.isas.or.id:article/875 2025-08-05T08:09:36Z JACOST:ART driver

Peramalan Harga Cabai Rawit Merah Menggunakan Attention Mechanism Berbasis Long Short-Term Memory Witanti, Wina Arie Anggara, Setyo Melina, Melina attention mechanisms cabai rawit merah LSTM peramalan harga Red cayenne pepper is a commodity that has important economic value in Indonesia, especially in West Java Province. Cayenne pepper often experiences significant price fluctuations which can cause inflation. In 2022 there will be the highest inflation in West Java in the last eight years due to increased commodity prices, including cayenne pepper. There needs to be an effort to maintain the stability of the price of red cayenne pepper in West Java. This research aims to create a price forecasting system for red cayenne peppers in West Java by comparing two deep learning approaches, namely Long-Short Term Memory (LSTM) and Long-Short Term Memory with Attention Mechanism (LSTM-Attention-LSTM) to obtain high accuracy in predicting the price of red cayenne pepper. The results of this research show that the LSTM model using 3 hidden layers, 100 neurons, 128 dense, 1 dense, and 32 batch sizes, produces Mean Absolute Error (MAE) values ​​of 0.023, Root Mean Square Error (RMSE) of 0.152, and Mean Absolute Percentage Error (MAPE) is 3.68%. Meanwhile, the LSTM-Attention-LSTM model with the same configuration produces an MAE value of 0.017, RMSE of 0.130, and MAPE of 2.74%. The results of this research can be a reference for the community and government in maintaining price stability for cayenne pepper in West Java. Indonesian Society of Applied Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/875 10.52158/jacost.v5i2.875 Journal of Applied Computer Science and Technology; Vol. 5 No. 2 (2024): Desember 2024; 128 -135 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/875/343 Copyright (c) 2024 Wina Witanti, Setyo Arie Anggara, Melina Melina

oai:ojs2.journal.isas.or.id:article/940 2025-08-05T08:09:35Z JACOST:ART driver

Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning I Kadek Nicko Ananda Ni Putu Novita Puspa Dewi Ni Wayan Marti Luh Joni Erawati Dewi Machine Learning, Gaya Belajar, Klasifikasi Multilabel, Data Set of Learning Style Preference, Decision Tree Learning style plays a very important role in determining the success of a person's learning process. An individual generally has a combination of all three existing learning styles including Visual, Auditorial, and Kinesthetic. However, what distinguishes the abilities of individuals from each other is how the dominant combination of each learning style is or not, so it is important to identify. This study aims to build a multi-label classification model to classify the learning styles of elementary school students. The machine learning algorithms used to build the model are Decision Tree, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). The performance of these four models is compared using the Hamming Loss, Accuracy, Precision, Recall, and F1-Score performance metrics. The Classifier Chains method is implemented to provide capabilities to KNNs and SVMs that cannot directly handle multi-label classification problems. The dataset used in this study is the Data Set of Learning Style Preference. The separation of the dataset was made into three different forms of data sizes, including: Data I: 90% training, 10% testing; Data II: 80% training 20% testing; and Data III: 70% training 30% testing. Cross-validation using K-Fold Cross Validation with a k-value of 10-fold was also applied to the training data. Based on testing, the best performance was obtained on the Decision Tree model with a hamming loss of 0.014, which indicates a very low prediction error rate per individual label.  A recall value of 99% indicates that the model is able to detect almost all positive labels correctly, and an F1-score of 98% indicates that the model has excellent and balanced performance, without bias against both positive and negative label predictions. The performance of the Decision Tree model was followed by MLP, SVM, and KNN which showed lower results. Indonesian Society of Applied Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/940 10.52158/jacost.v5i2.940 Journal of Applied Computer Science and Technology; Vol. 5 No. 2 (2024): Desember 2024; 144 - 154 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/940/345 Copyright (c) 2024 I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

oai:ojs2.journal.isas.or.id:article/971 2025-08-05T08:09:34Z JACOST:ART driver

Konsistensi Model Regresi Empat Variabel Pada Populasi dan Sampel untuk Prediksi Temperatur Syakrani, Nurjannah Naufal Athaya S. R Multi Variable Linear Regression Population sample Slovin RMSE The ability to predict future events or trends has become very important today. One method that can be used to predict the future is to use linear regression. Accurate regression modeling requires sampling representative data, especially when working with large datasets. This research takes a relatively large volume as a data set by looking at the accuracy and consistency of the coefficients of a multi-variable linear regression model for temperature prediction which is built based on all the data, and looks at the differences in the regression model built from the sample data. The number of sample data (n) is determined based on the Slovin formula which depends on the number of population data (N) and the level of confidence (ơ), so that as many as (N/n) new regression models can be built. Each group of sample data is divided into 75% for modeling and 25% testing data. The dataset used is weather information in the Szeged area which was measured in 2006 - 2016. So the regression model is in the form of Y (temperature value) which is influenced by Xi (weather factors), namely humidity, wind speed, wind direction and visibility. Using 96,453 data records and a 1% significance level in Slovin's formula, 10 samples were generated. Nine out of ten sample regression models agree with the population model, with positive coefficients for visibility and wind direction and negative values for humidity and wind speed. There is an abnormality in sample #4. While the other nine sample regression models are consistent with positive R2  values, Sample #1 displays an oddity with negative values. The RMSE interval values for each regression model in this study fall between 4.334 and 9.582. Indonesian Society of Applied Science 2025-06-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/971 10.52158/jacost.v6i1.971 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 9 - 16 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/971/387 Copyright (c) 2025 Nurjannah Syakrani, Naufal Athaya S. R

oai:ojs2.journal.isas.or.id:article/1002 2025-08-05T08:09:35Z JACOST:ART driver

Klasifikasi Kualitas Biji Kedelai Menggunakan Transfer Learning Convolutional Neural Network Dan SMOTE Amanda Prawita Ningrum Sri Winarno Vincentius Praskatama Soybean Seed CNN Mobile Net SMOTE Transfer Learning Soybeans are an important commodity in the food and feed industry, where they can be used to produce soy milk or other processed products. However, low-quality seeds can reduce the quality of the processed products and increase production costs. To address this issue, a soybean seed quality classification system was developed using the method of Transfer Learning with CNN and SMOTE. This method leverages the ability of neural networks for extracting of the visual features and handle for data imbalance between classes. The study shows that the CNN model achieved value accuracy is 91.09%, while the combination of CNN and SMOTE get the accuracyf 89.92%. Additionally, the MobileNetV2 model reached an accuracy of 91.11%, which further improved to 92.42% after applying SMOTE. These results demonstrate that the use of Transfer Learning and SMOTE significantly enhances accuracy in soybean seed quality classification, resulting in a more effective. Indonesian Society of Applied Science 2024-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1002 10.52158/jacost.v5i2.1002 Journal of Applied Computer Science and Technology; Vol. 5 No. 2 (2024): Desember 2024; 155 - 164 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1002/346 Copyright (c) 2024 Amanda Prawita Ningrum, Sri Winarno, Vincentius Praskatama

oai:ojs2.journal.isas.or.id:article/1028 2025-08-05T08:09:34Z JACOST:ART driver

Pengembangan Aplikasi Augmented Reality untuk Edukasi Keselamatan Kebakaran: Metode Prototyping dan Usability Setiawan, Ridwan Rahayu, Sri Komalasari, Iis Augmented Reality Fire Safety Occupational Safety Usability Educational Technology This study aims to develop an Augmented Reality (AR) application to introduce fire safety equipment as part of Occupational Health and Safety (OHS) education for the general public. The research employed a prototyping method, which involved iterative stages from requirements analysis to user evaluation, as well as functional testing using Black Box Testing and usability testing with 20 respondents. The results showed that all application features functioned according to specifications, and the usability testing yielded a user satisfaction score of 80.1%. These findings indicate that AR is effective as an interactive educational medium to enhance public understanding of fire protection equipment. The implication of this study is the potential for wider use of AR technology in public education to support fire risk mitigation efforts. Indonesian Society of Applied Science 2025-06-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1028 10.52158/jacost.v6i1.1028 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 1 - 8 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1028/388 Copyright (c) 2025 Ridwan Setiawan, Sri Rahayu, Iis Komalasari

oai:ojs2.journal.isas.or.id:article/1037 2025-08-20T10:30:21Z JACOST:ART driver

Performance Comparison of Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) in Verifying Material Orientation Utama, Eldio Rudiawan Jamzuri, Eko Automated Optical Inspection Inception V3 Convolutional Neural Network Support Vector Machine k-Nearest Neighbors In automated manufacturing, verifying material orientation is essential to ensure the product assembly proceeds without errors. For instance, in the beverage industry, incorrect orientation of materials, such as bottle caps, can lead to failures in the packaging process, resulting in improperly sealed bottles that may compromise product quality and safety. This study compares the performance of Support Vector Machine (SVM) and k-Nearest Neighbors algorithms for verifying material orientation verification through automated optical inspection. The images were processed using the Inception V3 Convolutional Neural Network (CNN) to extract relevant image features, which were then classified using SVM and kNN algorithms. As a result, SVM achieved high classification performance during testing, with classification accuracy, precision, recall, and F1 score of 1.0 compared to kNN, which achieved only 0.967. However, kNN demonstrated superior computational efficiency, with a training time of 1.126 seconds and a validation time of 0.713 seconds, compared to SVM's training time of 3.101 seconds and validation time of 1.479 seconds. These results indicate that while both methods are highly effective for material orientation verification, kNN offers significant advantages in terms of computational speed, making it more suitable for real-time applications. The implications of this study highlight the potential for integrating the proposed method in industrial applications, promoting enhanced efficiency and reducing error rates in automated assembly lines. Indonesian Society of Applied Science 2025-06-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1037 10.52158/jacost.v6i1.1037 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 17 - 22 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1037/389 Copyright (c) 2025 Eldio Utama, Eko Rudiawan Jamzuri

oai:ojs2.journal.isas.or.id:article/1099 2025-08-05T08:09:32Z JACOST:ART driver

News Classification using Natural Language Processing with TF-IDF and Multinomial Naïve Bayes Nadira Alifia Ionendri Feri Candra Afdi Rizal news classification NLP Online news contains valuable insights into public phenomena that can support statistical analysis by institutions like BPS Riau. However, current methods of classifying news are manual, time-consuming, and prone to human error. This study proposes an automated news classification system using Natural Language Processing (NLP) techniques with Term Frequency–Inverse Document Frequency (TF-IDF) for feature extraction and the Multinomial Naïve Bayes algorithm for classification. The dataset was collected via web scraping and manually labeled across five statistical categories: poverty, unemployment, democracy, inflation, and economic growth. The system achieved a validation accuracy of 83%, a test accuracy of 90%, with an average precision of 0.85, recall of 0.93, and f1-score of 0.87. These results demonstrate that the proposed system can significantly reduce the manual workload of news classification and be practically implemented by BPS Riau to support accurate and timely statistical reporting. Indonesian Society of Applied Science 2025-06-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1099 10.52158/jacost.v6i1.1099 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 37 - 45 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1099/392 Copyright (c) 2025 Nadira Alifia Ionendri, Feri Candra, Afdi Rizal

oai:ojs2.journal.isas.or.id:article/1106 2025-08-05T08:09:33Z JACOST:ART driver

Analisis Penerapan Mutual Information pada Klasifikasi Status Studi Mahasiswa Menggunakan Naïve Bayes Situju, Sulfayanti Nur, Nahya Halal, Nursan Naïve Bayes Principal Componet Analysis Reduksi Dimensi Status Studi Mahasiswa Early identification of Student Study Status is essential for higher education institutions to implement proactive and strategic measures that facilitate timely completion of studies and mitigate dropout rates. This research intends to predict student study status with the Naïve Bayes method based on the features obtained from the implementation of Mutual Information. Feature selection through Mutual Information seeks to analyse the factors that most significantly impact the classification of student study status. The study status is categorized into three classes: dropout, enrolled, and graduate, based on 36 factors. The Mutual Information approach is employed to diminish data dimensions by discarding less relevant features while preserving critical information based on score values to achieve enhanced predictive accuracy. The selection of appropriate attributes enables the model to maintain simplicity while incorporating critical information aspects that significantly impact performance. Experiments were performed on a dataset comprising student academic variables, with data partitioning ratios of 80:20, 70:30, and 50:50 for training and testing datasets. The classification outcomes utilizing Naïve Bayes, without the use of Mutual Information across the three testing ratios, exhibited the accuracy of 68.29% in the 70:30 data split. Simultaneously, the classification outcomes utilizing Mutual Information across three test ratios are as follows: 71.64% accuracy at an 80:20 ratio with 10 selected attributes, 72.06% at a 70:30 ratio with 10 selected attributes, and the highest accuracy of 72.65% at a 50:50 ratio using 15 attributes. The utilization of the Naïve Bayes method for classifying student study status demonstrates enhanced accuracy when integrated with Mutual Information for feature selection. The findings of this study demonstrate that Mutual Information can streamline data by considering the quantity of attribute selections according to the ranking of their score values. Indonesian Society of Applied Science 2025-06-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1106 10.52158/jacost.v6i1.1106 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 23 - 28 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1106/390 Copyright (c) 2025 Sulfayanti Situju, Nahya Nur, Nursan Halal

oai:ojs2.journal.isas.or.id:article/1109 2025-08-05T08:09:32Z JACOST:ART driver

Penerapan Metode Profile Matching untuk Menunjang Keputusan Seleksi Penerimaan Anggota pada Perusahaan Marikator Widia Ramadhani Yuliwanda Anggi Kusumastuti Elvi Fetrina Qurrotul Aini Meinarini Catur Utami Weight Core Factor Secondary Factor Criteria Profile Matching Organizational Selection The process of placing members in the XYZ organization is not optimal due to errors in placement or mismatches between fields and the positions assigned to its members. This is evidenced by members lacking maximum competence in their designated divisions, leading to slow organizational performance. Therefore, optimal human resource management in an organization requires selecting members with the right profiles to enhance operational performance. This study aims to determine a ranking and identify the best candidates for new member selection by applying the profile-matching method in the recruitment process of the XYZ organization. This approach considers criteria such as CVs, short essays, and interviews, using prospective member data comprising 19 (nineteen) individuals as the population and 5 (five) as the sample. Profile matching is a systematic approach for comparing the suitability of prospective member profiles against predefined criteria, enabling a more detailed and objective evaluation. This method helps identify competence gaps between candidates and expected criteria and minimizes the risk of placement errors within the organization. The calculation process is carried out using Microsoft Excel and a simple program developed with Python, utilizing Google Colab as the code editor. The study results indicate that the profile-matching method effectively identifies prospective members who best align with the organization's qualifications. Among the five candidates evaluated, Candidate 1 achieved the highest final score of 4.0556, indicating the most optimal suitability with the established criteria. Indonesian Society of Applied Science 2025-06-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1109 10.52158/jacost.v6i1.1109 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 46 - 56 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1109/393 Copyright (c) 2025 Widia Ramadhani, Yuliwanda Anggi Kusumastuti, Elvi Fetrina, Qurrotul Aini, Meinarini Catur Utami

oai:ojs2.journal.isas.or.id:article/1113 2025-08-20T10:36:31Z JACOST:ART driver

Penentuan Faktor Pemicu Gejala Penyakit Mata Glaukoma, Astigmatis, Hipermetropi, dan Miopi Wiguna, I Kadek Arta Divayana, Dewa Gede Hendra Indrawan, Gede Backward Chainig Simple Additive Weighting Eye Desease Expert systems support medical problem-solving, including the analysis of eye diseases. According to BPS RI (2022), over 8 million Indonesians suffer from visual impairments. In diagnosis, doctors often struggle to identify the primary causes of symptoms, impacting treatment effectiveness. This study proposes a system that combines Backward Chaining and Simple Additive Weighting (SAW) to systematically identify and prioritize causal factors of eye diseases. Backward Chaining is used to trace relationships between symptoms and the causes of glaucoma, astigmatism, hyperopia, and myopia. SAW is applied to assign weights to each causal factor and determine priority based on score ranking. Testing with 45 patient cases shows the system achieves 91% accuracy in identifying dominant causes. The 9% error rate stems from data limitations, subjective weighting in SAW, and inference rules in Backward Chaining. This system offers valuable support in early decision-making by helping doctors prioritize handling strategies based on the most significant underlying factors, thereby enhancing diagnostic efficiency and consistency. Indonesian Society of Applied Science 2025-06-22 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1113 10.52158/jacost.v6i1.1113 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 29 - 36 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1113/391 Copyright (c) 2025 I Kadek Arta Wiguna, Dewa Gede Hendra Divayana, Gede Indrawan

oai:ojs2.journal.isas.or.id:article/1165 2025-08-05T08:09:31Z JACOST:ART driver

Rancang Bangun dan Evaluasi Sistem Sortir Otomatis Barang dengan Metode Deteksi Objek YOLO v5 dan Kendali PLC Outseal Pamungkas, Daniel Sutopo Shendy Saputra Anastasya Andaresta Pelmelay Automatic sorting system, Computer vision, Industrial automation, Outseal PLC, YOLO v5 Manual sorting in manufacturing is time-consuming, labor-intensive, and prone to errors, especially when items have similar colors and shapes. This study aims to design and implement an automatic sorting system for goods based on color and shape to enhance production efficiency. The system integrates a webcam for image acquisition, the YOLO v5 object detection algorithm for real-time classification, and the Outseal PLC to control actuators via a Ladder Diagram. An experimental method was used, with a dataset of 18 object types tested under three lighting conditions (daylight, low light, and ring light). Performance was evaluated using a confusion matrix, achieving an average accuracy of 88.26% and precision of 70.38%, with the best results under ring light illumination. These findings demonstrate that the proposed system can reduce operational costs and improve productivity for small- to medium-scale industries. Future work should include extended field testing and adaptive algorithms for varying lighting environments. Indonesian Society of Applied Science 2025-06-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1165 10.52158/jacost.v6i1.1165 Journal of Applied Computer Science and Technology; Vol. 6 No. 1 (2025): Juni 2025; 57 - 66 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1165/394 Copyright (c) 2025 Daniel Sutopo Pamungkas, Shendy Saputra, Anastasya Andaresta Pelmelay

oai:ojs2.journal.isas.or.id:article/1170 2026-02-15T05:08:03Z JACOST:ART driver

A Systematic Literature Review of Retrieval-Augmented Generation: Methods, Applications, and Future Research Directions Hajar, Muhammad Rizky Utami, Ema Hendi Muhammad, Alva retrieval-augmented generation systematic literature review methods applications challenges future research Retrieval-Augmented Generation (RAG) represents a growing research direction in the advancement of large language models (LLMs) by incorporating external information sources into the response generation process. As LLM-based systems are increasingly deployed in information-sensitive domains such as healthcare, education, and law, the demand for responses that are not only fluent but also verifiable and context-aware has become more pronounced. This study conducts a systematic literature review (SLR) of 100 recent publications to examine methodological approaches, application domains, technical challenges, and research contributions related to RAG. The review draws on studies indexed in major academic databases, including IEEE, ACM, and Springer, and applies structured inclusion and exclusion criteria to ensure analytical rigor. The findings reveal a strong emphasis on architectural optimization, particularly in the interaction between retrieval and generation components, alongside widespread adoption in domain-specific contexts. Persistent challenges identified across the literature include limitations in retriever effectiveness, system integration complexity, and the absence of standardized evaluation benchmarks. Overall, this review provides a structured synthesis of current RAG research and highlights directions for future investigation and practical deployment.. Indonesian Society of Applied Science 2025-12-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1170 10.52158/jacost.v6i2.1170 Journal of Applied Computer Science and Technology; Vol. 6 No. 2 (2025): Desember 2025; 115 – 128 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1170/474 Copyright (c) 2025 Muhammad Rizky Hajar, Ema Utami, Alva Hendi Muhammad https://creativecommons.org/licenses/by-sa/4.0

oai:ojs2.journal.isas.or.id:article/1196 2026-02-15T05:08:03Z JACOST:ART driver

Implementasi UAV dan ArcGIS untuk Pemetaan 3D Kawasan Hutan Konservasi Ubadari Rumui, Nelson Al Hamid, Deisya Maulida Anas, Syukron UAV photogrammetry ArcGIS Pro NDVI land cover classification fire-prone zones conservation forests Fakfak This study aims to produce a three-dimensional (3D) visualisation model of the Ubadari Conservation Forest Area in Fakfak Regency, West Papua, using Unmanned Aerial Vehicle (UAV) technology and ArcGIS Pro software. Aerial imagery data was collected through photogrammetric missions with calibrated parameters. This elevation model has high accuracy with a Root Mean Square Error (RMSE) value of 0.35 metres, indicating an average vertical deviation of only about 35 cm from the actual elevation value—accurate enough for conservation and advanced mapping applications. Spatial analysis was conducted to map topography, vegetation index (NDVI), land cover classification using the k-means clustering algorithm, as well as zones prone to degradation and potential fires. The results show that more than 15% of the area has a slope of >30%, and around 22.3% of the area is classified as having poor vegetation health. Meanwhile, 23.7% of the area was classified as low vegetation cover. Degradation and fire-prone zones covered 18.5% of the study area, mainly around road access and the edges of the area. These findings contribute to data-based monitoring systems and form an important basis for risk mitigation planning and conservation forest ecosystem preservation. Indonesian Society of Applied Science 2025-12-17 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journal.isas.or.id/index.php/JACOST/article/view/1196 10.52158/j6kwy595 Journal of Applied Computer Science and Technology; Vol. 6 No. 2 (2025): Desember 2025; 101 - 106 2723-1453 eng https://journal.isas.or.id/index.php/JACOST/article/view/1196/472 Copyright (c) 2025 Nelson Rumui, Deisya Maulida Al Hamid, Syukron Anas https://creativecommons.org/licenses/by-sa/4.0 12f22c3766e0df2cb8e7304f52ae036a