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Jurnal Ilmiah Matrik Jurnal Ilmiah Terpadu (JIT) Universitas Bina Darma Jalan Jenderal Ahmad Yani No. 3, Gedung Bochari Rachman 1, Universitas Bina Darma, Kota Palembang, Indonesia.
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Jurnal Ilmiah Matrik
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ISSN : 14111624     EISSN : 26218089     DOI : https://doi.org/10.33557/jurnalmatrik
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Peringkat Akreditasi Jurnal Ilmiah Periode III Tahun 2022 KEPUTUSAN DIREKTUR JENDERAL PENDIDIKAN TINGGI, RISET, DAN TEKNOLOGI KEMENTERIAN PENDIDIKAN, KEBUDAYAAN, RISET, DAN TEKNOLOGI REPUBLIK INDONESIA NOMOR 225/E/KPT/2022 TENTANG PERINGKAT AKREDITASI JURNAL ILMIAH PERIODE III TAHUN 2022. Jurnal Ilmiah MATRIK telah terakreditasi SINTA dengan Peringkat 4 The Journal of Scientific MATRIK ISSN: 1411-1624, E-ISSN: 2621-8089. was published in collaboration between the Faculty of Computer Science (FIK) with Integrated Scientific Journal (JIT-UBD) and Publishing and Printing Center of Bina Darma Press University (PPP-UBD Press). The results of research and theoretical studies in the journal Matrik in Computer Science. Publication conducted 3 (three) times (April, August and December). The editorial board welcomes original submissions in Indonesia and English. The number of words for a research article should preferably be between 5,000 and 8,000. Each of the articles published have a DOI (Digital Object Identifier). The paper will be checked for plagiarism using Turnitin.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 451 Documents
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Pengembangan Alat Evaluasi Berbasis Google Apps Script (GAS) untuk Ujian Akhir Semester (UAS) Mahasiswa FTIK UIN Palangka Raya Rohmadi, Mukhlis; Septiana, Nurul
Jurnal Ilmiah Matrik Vol. 28 No. 1 (2026): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/q9gt0703

Abstract

Academic integrity in online exams is now facing major challenges due to the penetration of generative artificial intelligence (AI), while conventional platforms such as Google Forms and standard Learning Management Systems (LMS) often fail to provide adequate cheating detection features. This research aims to develop a Computer-Based Test (CBT) evaluation tool based on Google Apps Script (GAS) at FTIK UIN Palangka Raya which integrates anti-cheating features and an automated essay assessment system through AI (strict prompting) instructions. Using the Research and Development (R&D) method with a 4D (Define, Design, Develop, Disseminate) model, this study involved 267 students as trial subjects. The resulting product includes dynamic question management, automatic randomization, and comprehensive student activity logging to monitor behavior during exams. The results of the study showed high effectiveness with a student satisfaction score of 4.9 out of 5. However, challenges were found in the user experience aspect, particularly the triggering of positive-false fraud due to device system notifications and dependencies on network stability. These innovations deliver strategic value through modularity and cost efficiency, effectively filling functional gaps on previous platforms that did not yet support AI-based assessments. As an adaptive solution, this tool strengthens institutional credibility in managing the evaluation of learning outcomes independently in the digital era.

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