Uji Plagiarism pada Tugas Mahasiswa Menggunakan Algoritma Winnowing

  • Moh Sadly Ramli Universitas Sulawesi Barat
  • Sugiarto Cokrowibowo Universitas Sulawesi Barat
  • Muh Fahmi Rustan Universitas Sulawesi Barat
Keywords: 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%.


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A. Abdi, N. Idris, R. M. Alguliyev, and R. M. Aliguliyev, “PDLK: Plagiarism detection using linguistic knowledge,” Expert Syst. Appl., 2015, doi: 10.1016/j.eswa.2015.07.048.

N. Alamsyah, “Perbandingan Algoritma Winnowing Dengan Algoritma Rabin Karp Untuk Mendeteksi Plagiarisme Pada Kemiripan Teks Judul Skripsi,” Technol. J. Ilm., 2017, doi: 10.31602/tji.v8i3.1116.

S. Schleimer, D. S. Wilkerson, and A. Aiken, “Winnowing: Local Algorithms for Document Fingerprinting,” 2003.

E. G. Hasan, A. Wicaksana, and S. Hansun, “The Implementation of Winnowing Algorithm for Plagiarism Detection in Moodle-based E-learning,” 2018, doi: 10.1109/ICIS.2018.8466429.

A. Agung Putri Ratna, D. Lalita Luhurkinanti, I. Ibrahim, D. Husna, and P. Dewi Purnamasari, “Automatic Essay Grading System for Japanese Language Examination Using Winnowing Algorithm,” 2018, doi: 10.1109/ISEMANTIC.2018.8549789.

R. Sutoyo et al., “Detecting documents plagiarism using winnowing algorithm and k-gram method,” 2018, doi: 10.1109/CYBERNETICSCOM.2017.8311686.

D. Leman, M. Rahman, F. Ikorasaki, B. S. Riza, and M. B. Akbbar, “Rabin Karp and Winnowing Algorithm for Statistics of Text Document Plagiarism Detection,” 2019, doi: 10.1109/CITSM47753.2019.8965422.

B. Sari and Y. Sibaroni, “Deteksi Kemiripan Dokumen Bahasa,” vol. 4, pp. 87–98, 2019, doi: 10.21108/indojc.2019.4.3.365.

A. H. Purba and Z. Situmorang, “Analisis Perbandingan Algoritma Rabin-Karp Dan Levenshtein Distance Dalam Menghitung Kemiripan Teks,” J. Tek. Inform. Unika St. Thomas, vol. 02, pp. 24–32, 2017.

H. Ajie and A. Surya Bangsa, “Aplikasi Pendeteksi Dugaan Awal Plagiarisme Pada Tugas Siswa Dan Mahasiswa Berdasarkan Kemiripan Isi Teks Menggunakan Algoritma Levenshtein Distance,” PINTER J. Pendidik. Tek. Inform. dan Komput., 2017, doi: 10.21009/pinter.1.1.4.

S. Sunardi, A. Yudhana, and I. A. Mukaromah, “Implementasi Deteksi Plagiarisme Menggunakan Metode N-Gram Dan Jaccard Similarity Terhadap Algoritma Winnowing,” Transmisi, 2018, doi: 10.14710/transmisi.20.3.105-110.

How to Cite
M. S. Ramli, S. Cokrowibowo, and M. F. Rustan, “Uji Plagiarism pada Tugas Mahasiswa Menggunakan Algoritma Winnowing”, JACOST, vol. 2, no. 2, pp. 108 - 112, Dec. 2021.
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