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All Journal The IJICS (International Journal of Informatics and Computer Science) JURNAL MAHAJANA INFORMASI Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Sistem Komputer dan Informatika (JSON) International Journal of Multidisciplinary Sciences and Arts Jurnal Komputer Indonesia (JU-KOMI) Jurnal Manajemen, Akuntansi dan Rumpun Ilmu Ekonomi (MAR-Ekonomi) Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Monang Juanda Tua Sihombing
Komputerisasi Akuntansi, Universitas Imelda Medan
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering

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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

 1 
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Sihombing, Monang Juanda Tua; M.Rajagukguk, Denni; Panjaitan, Muhammad Iqbal; Manalu, Mamed Rofendi; Simangunsong, Pandi Barita Nauli; Sridewi, Nurmala
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.
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Sihombing, Monang Juanda Tua; M.Rajagukguk, Denni; Panjaitan, Muhammad Iqbal; Manalu, Mamed Rofendi; Simangunsong, Pandi Barita Nauli; Sridewi, Nurmala
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.
Co-Authors Batubara, Muhammad Iqbal Denni M Rajagukguk Khairunnisa Khairunnisa Kristian Siregar M.Rajagukguk, Denni Manalu, Mamed Rofendi Panjaitan, Muhammad Iqbal Purba, Elvitrianim Riswan Limbong Sembiring, Abdul Sani Siagian, Edward Robinson Siddik Karo-Karo Sihite, A M Hatuaon Simangunsong, Pandi Barita Nauli Sridewi, Nurmala Tamba, RL. Harmadi Trianovie, Sri Zebua, Heppi Ratnawati