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All Journal Journal of Electrical Technology METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) International Journal of Engineering, Science and Information Technology JURNAL ILMIAH GLOBAL EDUCATION International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma Jurnal Teknologi Terapan and Sains 4.0 Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms INOVTEK Polbeng - Seri Informatika
Fuadi, Wahyu
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Application of Genetic Algorithm and Or-Tools for Cloud-Based Course Scheduling Optimization Jabbar, Salamul; Safwandi; Kurniawati; Eva Darnila; Fuadi, Wahyu
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/qymmt569

Abstract

Course scheduling in higher education institutions is a complex combinatorial optimization problem involving numerous constraints such as lecturer availability, room capacity, time slots, and course distribution across semesters. Manual scheduling practices often result in conflicts, inefficient resource utilization, and prolonged preparation time. This study proposes a hybrid course scheduling system that integrates a genetic algorithm (GA) and constraint programming using the CP-SAT solver from OR-Tools. The GA is employed in the first phase to generate optimal course sections based on student enrollment, lecturer workload, and capacity constraints. The best solution produced by the GA is then refined using CP-SAT to generate a conflict-free timetable that satisfies all hard constraints, including lecturer, room, and time conflicts, while also optimizing selected soft constraints. The proposed system is implemented as a web-based application deployed on Microsoft Azure, enabling scalability and accessibility. Experimental results using real academic data demonstrate that the hybrid approach successfully produces feasible schedules with zero conflicts and significantly reduces scheduling time compared to manual methods. The results confirm that the integration of GA and CP-SAT provides an effective and flexible solution for university course scheduling problems.
Co-Authors amri, maulana Andik Bintoro Aqsa, Dina Alfini Auji, Muhammad Fathah Badriana, Badriana Bakhtiar Bakhtiar Cut Ita Erliana Dedi Fariadi Eva Darnila Eva Darnila Fadlisyah Fadlisyah Fajriana, Fajriana Halimatun Sakdiah, Halimatun Harahap, Lina Mardiana Irwanda Syahputra Irwansyah, Defi Jabbar, Salamul Jalila, Muhammad Mulkan Kamilaini, Kamilaini Karmawati Karmawati Kausar, M Reza Khairawati Khairawati, Khairawati Kurniawati Lidya Rosnita Maryana Maryana Maryana Maryana, Maryana Mutammimul Ula Muthmainnah Muthmainnah mutiara mutiara Naturizal, Rayhan Pohan, Muhammad Wahyu Putri, Husna Moetia Rahma, Putri Rahmawati M, Rahmawati Rahmawati, Rahmawati Ramadhansyah, Rizki Razi, Ar Rini Meiyanti Risawandi, Risawandi RISKA YANTI, RISKA Riza, Saiful Rozzi Kesuma Dinata Safwandi Sahputra, Ilham Selamat Meliala Sofyan, Diana Khairani Sukatin, Sukatin Syintia, Icut Taufik, Nugraha Muhammad Teuku Multazam wandi, risa Yesy Afrillia Zahratul Fitri, Zahratul Zara Yunizar Zulfia , Anni Zuraida Zuraida