Penilaian Green Building Berdasarkan Perangkat Greenship Untuk Bangunan Baru Versi 1.2 Menggunakan Logika Fuzzy

(Studi Kasus : Gedung Pascasarjana Fakultas Hukum Universitas Jember)

  • Fajrin Nur Arlisyah Civil Engineering, Jember University
  • Sri Sukmawati Universitas Jember
  • Anita Trisiana Universitas Jember
DOI: https://doi.org/10.52158/jaceit.v1i1.61
I will put the dimension here
Keywords: Green Building, Greenship for New Building Version 1.2, Fuzzy Logic, Postgraduate Building

Abstract

Green Building Council Indonesia (GBCI) is an institution established by building construction and construction sector professionals with a rating system for each building called Greenship. Greenship is a value as a benchmark of green building. One of the GBCI certifications is Greenship for new buildings. Jember University is a tertiary institution which has started to build high-rise buildings to provide facilities for the students. One of the multi-story buildings being built is the Postgraduate building for 5 (five) floors of law faculty students who completed their work in October 2019 so that the assessment is carried out until the Final Assessment stage. Using the assessment of Greenship for new buildings version 1.2 an assessment is carried out to determine the rating of the building. Assessment is done by direct observation, interviews, and questionnaires. The assessment results are processed using the fuzzy logic method through the Matlab application which refers to the Greenship guide for new buildings 1.2. After the assessment, the Postgraduate Faculty of Law building received a score of 40,6 (Bronze). Based on these results a recommendation is made so that it gets a value of 46,6 with a Silver rating.

References

Abduh, M., Fauzi, R.T. 2012. Kajian Sistem Assessment Proses Konstruksi pada Greenship Rating Tool. KoNTekS (Konferensi Nasional Teknik Sipil). Jakarta, 1-2 November 2012, Universitas Trisakti : Jakarta.

Green Building Council Indonesia. 2013. Greenship untuk Bangunan Baru Versi 1.2.Jakarta : Departement of Rating Development GBCI.

Naba, A., 2009. Belajar Cepat Fuzzy Logic Menggunakan Matlab. Yogyakarta: Penerbit Andi

Falani, A., Z. 2013. Analisis Laporan Keuangan Perusahaan Sebagai DasarPengambilan Keputusan Investasi Saham Berbasis Du Point System &Fuzzy Logic. Jurnal Link,18(1), pp. 1-7.

Pahlevi, R., Widyarto, W.,O., Munandar, T., A. 2013. Implementasi Fuzzy Mamdani untuk Penentuan Pengadaan Kartu Operator pada Distributor Kartu Perdana PT. XYZ. In : Universitas Serang Raya. Prosiding Seminar Nasional Industrial Service (SNIS) II. Cilegon, 8 Oktober 2013.

SNI 6197-2011 tentang Konservasi Energi Pada Sistem Pencahayaan. 2011. Badan Standardisasi Nasional Indonesia.

Badan Standarisasi Nasional Indonesia. 2011.SNI 03-6386-2000 Tentang Spesifikasi Tingkat Bunyi dan Waktu Dengung dalam Bangunan Gedung dan Perumahan. Badan Standardisasi Nasional Indonesia.

Peraturan Daerah Kabupaten Jember. 2015. Peraturan Daerah Kabupaten Jember Nomor 1 Tahun 2015 Tentang Rencana Tata Ruang Wilayah (RTRW) Kabupaten Jember Tahun 2015-2035.

Peraturan Pemerintah Republik Indonesia. 2012. Nomor 27 Tahun 2012 Tentang Izin Lingkungan pada BAB II mengenai Penyusunan AMDAL dan UKL/UPL.

Hanifah, D. 2019. Identifikasi Risiko Pengadaan Langsung Jasa Konstruksi Menurut Prepes Nomor 54 Tahun 2010 Komparasi Perpres Nomor 16 Tahun 2018 Menggunakan Fuzzy Logic. Jember: Jurusan Teknik Sipil, Universitas Jember.

Published
2020-08-03
How to Cite
Fajrin Nur Arlisyah, Sri Sukmawati, & Anita Trisiana. (2020). Penilaian Green Building Berdasarkan Perangkat Greenship Untuk Bangunan Baru Versi 1.2 Menggunakan Logika Fuzzy . Journal of Applied Civil Engineering and Infrastructure Technology, 1(1), 43-49. https://doi.org/10.52158/jaceit.v1i1.61
Section
Articles