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Analyzing ChatGPT Impact on Student Productivity in Information Technology Program at Politeknik Negeri Tanah Laut Hafizd, Khairul Anwar; Manalu, Mamed Rofendi; Arif, M Aidil
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9495

Abstract

The rapid development of generative artificial intelligence, particularly ChatGPT, has transformed the way students complete academic tasks, especially in the field of Information Technology. Despite its widespread adoption, concerns remain regarding its impact on students’ productivity and learning quality. This study aims to analyze the effect of ChatGPT usage on the productivity of students in the Information Technology Study Program at Politeknik Negeri Tanah Laut. A quantitative research approach with a survey method was employed. Data were collected through a Likert-scale questionnaire distributed to active students who had used ChatGPT for academic purposes. The collected data were analyzed using validity and reliability tests, followed by simple linear regression analysis to examine the effect of ChatGPT usage on student productivity. The results indicate that ChatGPT usage has a positive and significant effect on student productivity. Productivity improvements are mainly observed in task efficiency and timely task completion. However, the quality of academic outputs remains highly dependent on students’ ability to critically evaluate, verify, and further develop the outputs generated by ChatGPT. These findings suggest that ChatGPT functions effectively as an academic assistant rather than a substitute for critical thinking and independent learning. This study concludes that ChatGPT can be utilized as a supportive academic tool to enhance student productivity when used appropriately and responsibly, supported by adequate AI literacy and academic supervision. The findings are expected to provide empirical insights for higher education institutions in formulating policies and guidelines for the ethical and productive use of ChatGPT in academic activities.
Multimedia Design for Imelda Hospital Company Profile Indonesian Workers As Effective Promotional Media Mamed Rofendi Manalu; Denni M Rajagukguk
Jurnal Ekspresi : Desain Komunikasi Visual dan Seni Vol. 1 No. 01 (2023): Jurnal Ekspresi : Desain Komunikasi Visual dan Seni, April 2023
Publisher : Jurnal Ekspresi : Desain Komunikasi Visual dan Seni

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Imelda Hospital for Indonesian workers is a hospital as one of the public service institutions that requires the existence of an accurate and reliable information system, and is sufficient to improve its services to the community and other related environments. To support the information and promotion media that are specifically intended only for Indonesian Workers' Imelda Hospital, in order to provide more detailed and in-depth information about services and facilities and information contained in the Indonesian Workers' Imelda Hospital, research on multimedia design, to solve the problem of how effective promotional media will be carried out to support the sustainability of Indonesian workers' Imelda hospitals.
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Monang Juanda Tua Sihombing; Denni M.Rajagukguk; Muhammad Iqbal Panjaitan; Mamed Rofendi Manalu; Pandi Barita Nauli Simangunsong; Nurmala Sridewi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8457

Abstract

This research aims to produce an optimal course schedule at STMIK Mulia Darma, with the aim of reducing the number of conflicting courses, equalizing the student burden, and maximizing the use of classrooms. The optimization process is carried out through determining the course schedule using a genetic algorithm. Genetic algorithms were chosen because of their ability to solve large-scale and complex problems, making them suitable for handling complex course scheduling problems that involve many variables and constraints. It is hoped that the results of this study will produce an optimal course schedule, taking into account course clashes, student loads, and classroom use efficiency. After research, the optimal course schedule was obtained.