Plagiarism Checking Information System for Final Assignments of Malang State Polytechnic Using the Latent Semantic Analysis (LSA) Method
DOI:
https://doi.org/10.33795/jartel.v16i1.8702Keywords:
Accuracy, Information System, Final Project, Latent Semantic Analysis (LSA), Plagiarism DetectionAbstract
This study aims to design and develop a plagiarism checking information system for students' final assignments at the State Polytechnic of Malang using the Latent Semantic Analysis (LSA) method. Plagiarism in scientific papers is a serious problem that can damage academic integrity. Therefore, an effective and accurate system is needed to detect plagiarism in students' final assignment documents. The LSA method was chosen because of its ability to analyze semantic relationships between words and documents, thus detecting plagiarism that cannot be detected directly by word-based methods. This system was built to check the similarity between uploaded documents and documents in the campus database. Based on the test results, this system demonstrated a plagiarism detection accuracy of up to 80%, as well as an efficient processing time of between 13 and 14 seconds per document. Thus, this system is expected to improve supervision of the authenticity of students' final assignments and support academic integrity at the State Polytechnic of Malang. Recommendations for the development of this system are to expand file format support and improve the ability to detect more hidden plagiarism, such as paraphrasing.
References
C. Pasaribu, M. R. Nurmaliza, N. N. Azizah, P. H. Panggayuh, R. Fitrianto, and R. Wasir, “Menghadapi Plagiarisme: Menjaga Kejujuran Akademik Dalam Penelitian Kesehatan Di Era Digital,” J. Kesehat. Tambusai, vol. 5, no. 4, pp. 13079–13087, 2024, doi: 10.31004/jkt.v5i4.37829.
A. Pratiwi, D. Program, S. Jaringan, T. Digital, T. Elektro, and P. N. Malang, “Program Studi Jaringan Telekomunikasi Digital ~ Politeknik Negeri Malang Program Studi Jaringan Telekomunikasi Digital ~ Politeknik Negeri Malang,” pp. 198–201, 2019.
M. S. Wahyuni, D. Setiawan, and T. Syahputra, “Sistem Temu Kembali Informasi Dengan Latent Semantic Analysis Pada Kesamaan Tugas Akhir Mahasiswa,” J. Tek., vol. 1, no. 2, p. 46, 2021, doi: 10.54314/teknisi.v1i2.655.
K. Fauzan Navaro, S. Rosetya Wardhana, and R. K. Hapsari, “Deteksi Plagiarisme Artikel Jurnal menggunakan Latent Semantic Analysis (LSA),” Seminar Nasional Sains dan Teknologi Terapan XI, pp. 1–8, 2023.
N. Fitrianingsih, M. Asfi, D. Prasetyo, R. P. Kusuma, and M. A. Sulhan, “Deteksi Tingkat Kemiripan Judul Menggunakan Algoritma Oliver Pada Sistem Informasi Pengajuan Skripsi,” J. Media Inform. Budidarma, vol. 6, no. 4, p. 2148, 2022, doi: 10.30865/mib.v6i4.4409.
E. Ernawati, Anindito, and R. N. P. Atmojo, “Sistem Pendeteksi Plagiarisme Untuk Tugas Akhir,” Humaniora, vol. 5, no. 1, pp. 541–549, 2014.
M. Duggan, D. R. Roderick, and J. Sieburg, “Data Bases,” Proc. 1970 25th Annual Conference, pp. 1–7, 1970, doi: 10.1145/1147282.1147284.
A. Permatasari and S. Suhendi, “Rancang Bangun Sistem Informasi Pengelolaan Talent Film Berbasis Aplikasi Web,” J. Inform. Terpadu, vol. 6, no. 1, pp. 29–37, 2020, doi: 10.54914/jit.v6i1.255.
M. R. S. Alfarizi, M. Z. Al-Farish, M. Taufiqurrahman, G. Ardiansah, and M. Elgar, “Penggunaan Python Sebagai Bahasa Pemrograman untuk Machine Learning dan Deep Learning,” KARIMAH TAUHID, vol. 2, no. 1, pp. 1–6, 2023.
H. Saputro, U. Baturaja, and J. A. Yani, “Jurnal Informatika dan Komputer (JIK),” JIK, vol. 12, no. 2, p. 83, 2021.
F. Fataruba, “Penerapan Metode Cosine Similarity Untuk Pengecekan Kemiripan Jawaban Ujian Siswa,” J. Mahasiswa Teknik Informatika, vol. 2, no. 2, pp. 88–95, 2018.
A. Hidayat, A. Yani, Rusidi, and Saadulloh, “Membangun Website SMA PGRI Gunung Raya Ranau Menggunakan PHP dan MySQL,” JTIM J. Teknik Informatika Mahakarya, vol. 2, no. 2, pp. 41–52, 2019.
Y. Riadi Silitonga, Munawar, and I. Noor Hapsari, “Analisis dan Penerapan Data Mining untuk Mendeteksi Berita Palsu (Fake News) pada Social Media dengan Memanfaatkan Modul Scikit-Learn,” Undergraduate Thesis Information System, 2019.
E. N. Hartiwati, J. S. Informasi, and F. I. Komputer, “phpMyAdmin,” Definition Guide to MySQL 5, vol. 5, no. 1, pp. 87–116, 2006, doi: 10.1007/978-1-4302-0071-0_6.
R. Irsyad, “Penggunaan Python Web Framework Flask untuk Pemula,” Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika, vol. 4, no. 1, pp. 8–15, 2018.
Putri Elfa Mas’udia, Rieke Adriati Wijayanti, Moh. Abdullah Anshori, Lis Diana Mustafa, Mochammad Sarosa, and Yani Ratnawati, “Pembuatan Website, Instagram dan Akun Shopee sebagai Media Marketing Produk Anyaman Bambu di Desa Duwet,” Cakrawala: Jurnal Pengabdian Masyarakat Global, vol. 2, no. 3, pp. 220–226, 2023, doi: 10.30640/cakrawala.v2i3.1506.
