Article Per Year (5 Year)
p-Index From 2021 - 2026
2.59
P-Index
This Author published in this journals
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 JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL
Monang Juanda Tua Sihombing
Komputerisasi Akuntansi, Universitas Imelda Medan
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Physics Public Health Social Sciences

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
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.
Determinant Analysis of Learning Interest in Informatics Management Students at STMIK Mulia Darma Sihombing, Monang Juanda Tua; Trianovie, Sri
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

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

Abstract

This study aims to analyze the influence of intellectual intelligence, learning motivation, and learning behavior on the learning interest of students in the Information Management Study Program at STMIK Mulia Darma. Higher education institutions play a strategic role in improving the quality of human resources, particularly in shaping intellectual and professional abilities. However, various problems still exist, including low-quality educators, limited educational facilities, and weak links between education and the needs of the workforce. Intellectual intelligence without the support of positive motivation and learning behavior cannot produce an optimal learning process. Students with low motivation and learning behavior tend to show a lack of responsibility and participation in academic activities. This study uses the Structural Equation Modeling (SEM) approach with the Partial Least Squares (PLS) method to test the relationship between latent variables. The results of this study are expected to contribute to efforts to improve the quality of learning and develop student interest in learning in higher education.
Co-Authors Batubara, Muhammad Iqbal Denni M Rajagukguk Fachry Abda El Rahman 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 Tamba, RL. Harmadi Trianovie, Sri Zebua, Heppi Ratnawati