Lecture Scheduling Automation Using Genetic Algorithm
Herman1, Lukman Syafie2, Dirgahayu Lantara3
1Herman, Faculty of Computer Science, Universitas Muslim Indonesia, Makassar, Indonesia.
2Lukman Syafie, Faculty of Computer Science, Universitas Muslim Indonesia, Makassar, Indonesia.
3Dirgahayu Lantara, Faculty of Industrial Engineering, Universitas Muslim Indonesia.
Manuscript received on 03 September 2019 | Revised Manuscript received on 13 September 2019 | Manuscript Published on 23 September 2019 | PP: 1444-1447 | Volume-8 Issue-5C, May 2019 | Retrieval Number: E12100585C19/19©BEIESP | DOI: 10.35940/ijeat.E1210.0585C19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper aims produce an academic scheduling system using Genetic Algorithm (GA) to solve the academic schedule. Factors to consider in academic scheduling are the lecture to be held, the available room, the lecturers and the time of the lecturer, the suitability of the credits with the time of the lecture, and perhaps also the time of Friday prayers, and so forth. Genetic Algorithms can provide the best solution for some solutions in dealing with scheduling problems. Based on the test results, the resulting system can automate the scheduling of lectures properly. Determination of parameter values in Genetic Algorithm also gives effect in producing the solution of lecture schedule.
Keywords: Scheduling; Genetic Algorithm, Scheduling Automation.
Scope of the Article: VLSI Algorithms