Implementasi Algoritma MAX-MIN Ant System pada Penjadwalan Mata Kuliah

Studi Kasus: Program Studi Teknik Informatika, UMN

  • William Aprilius Universitas Multimedia Nusantara
  • Lorentzo Augustino Universitas Multimedia Nusantara
  • Ong Yeremia M. H. Universitas Multimedia Nusantara

Abstract

University Course Timetabling Problem is a problem faced by every university, one of which is Universitas Multimedia Nusantara. Timetabling process is done by allocating time and space so that the whole associated class and course can be implemented. In this paper, the problem will be solved by using MAX-MIN Ant System Algorithm. This algorithm is an alternative approach to ant colony optimization. This algorithm uses two tables of pheromones as stigmergy, i.e. timeslot pheromone table and room pheromone table. In addition, the selection of timeslot and room is done by using the standard deviation of the value of pheromones. Testing is carried out by using 105 events, 45 timeslots, and 3 types of categories based on the number of rooms provided, i.e. large, medium, and small. In each category, testing is performed 5 times and for each testing, the data recorded is the unplace and Soft Constraint Penalty. In general, the greater the number of rooms, the smaller the unplace.

Index Terms—ant colony optimization, max-min ant system, timetabling

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Published
2013-12-01
How to Cite
Aprilius, W., Augustino, L., & Yeremia M. H., O. (2013). Implementasi Algoritma MAX-MIN Ant System pada Penjadwalan Mata Kuliah. Ultimatics : Jurnal Teknik Informatika, 5(2), 48-53. https://doi.org/https://doi.org/10.31937/ti.v5i2.320