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All Journal JTIM : Jurnal Teknologi Informasi dan Multimedia
Herman Budianto
STTS Surabaya
Computer Science & IT

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Algoritma Improved Symbiotic Organism Search (I-SOS) sebagai Pendukung Keputusan dalam Penentuan Dosen Pengampu Matakuliah Zulkarnaen; Herman Budianto; Hendrawan Armanto
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 1 No 4 (2020): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v1i4.64

Abstract

This study discusses the allocation of lecturers to apply courses by applying the concept of heuristic optimization using the Improved Symbiotic Organism Search (I-SOS) algorithm. The I-SOS Algorithm is a development of the previous algorithm, the Symbiotic Organism Search Algorithm, which is one of the latest metaheuristic methods inspired by the behavioral interactions seen between organisms in the universe. Optimizing the allocation of lecturers is very influential on the preparation of class schedules because scheduling a good course must be able to meet the needs of the parties directly related to the scheduling process. Conventional methods used today often cause problems in terms of efficiency and accuracy, imbalance of teaching load and inaccuracy in lecturer assignments requiring lecturers to take courses not in accordance with their interests and expertise.
Co-Authors Hendrawan Armanto Zulkarnaen