JTIM : Jurnal Teknologi Informasi dan Multimedia
Vol 1 No 4 (2020): February

Algoritma Improved Symbiotic Organism Search (I-SOS) sebagai Pendukung Keputusan dalam Penentuan Dosen Pengampu Matakuliah

Zulkarnaen (MTI, STTS Surabaya)
Herman Budianto (STTS Surabaya)
Hendrawan Armanto (STTS Surabaya)

Article Info

Publish Date
18 Feb 2020


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.

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Journal Info





Computer Science & IT


Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...