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Optimasi proses penjadwalan mata kuliah menggunakan algoritme genetika dan pencarian tabu

Course scheduling optimization using genetic algorithm and tabu search

Master Program of Information Technology, Universitas Teknologi Yogyakarta, Jl. Siliwangi (Ringroad Utara), Jombor, Sleman, D.I. Yogyakarta 55285, Indonesia

Received: 19 Mar 2021; Revised: 8 Jun 2021; Accepted: 15 Jun 2021; Available online: 17 Jun 2021; Published: 17 Jun 2021.
Open Access Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Scheduling courses in higher education often face problems, such as the clashes of teachers' schedules, rooms, and students' schedules. This study proposes course scheduling optimization using genetic algorithms and taboo search. The genetic algorithm produces the best generation of chromosomes composed of lecturer, day, and hour genes. The Tabu search method is used for the lecture rooms division. Scheduling is carried out for the Informatics faculty with four study programs, 65 lecturers, 93 courses, 265 lecturer assignments, and 65 classes. The process of generating 265 schedules took 561 seconds without any scheduling clashes. The genetic algorithms and taboo searches can process quite many course schedules faster than the manual method.

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Data analysis: Course scheduling optimization using genetic algorithm and tabu search
Subject This material contains initial generated population, the best generation, fitness values, and optimized generated schedule
Type Data Analysis
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Keywords: optimization; courses scheduling; genetic algorithms; tabu search
Funding: Universitas Teknologi Yogyakarta

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