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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer IKRA-ITH Humaniora : Jurnal Sosial dan Humaniora JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang IKRA-ITH ABDIMAS Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal INFOKUM Jurnal Scientia MEANS (Media Informasi Analisa dan Sistem) Jurnal Pengabdian kepada Masyarakat Nusantara JoMMiT : Jurnal Multi Media dan IT Instal : Jurnal Komputer Jurnal Multidisiplin Madani (MUDIMA)
Sanjaya Pinem
Politeknik Negeri Media Kreatif
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences

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Journal : Instal : Jurnal Komputer

 1 
Implementation of the Ant Colony System for Constraint-Based Lecture Timetabling in Higher Education Pinem, Sanjaya
Bahasa Indonesia Vol 17 No 03 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i03.368

Abstract

The lecture scheduling problem in higher education is a complex and recurring issue that requires optimal solutions to accommodate lecturer availability, room capacity, and student needs. This study implements the Ant Colony System (ACS) algorithm to address the scheduling problem by simulating the behavior of ants in finding optimal paths. The research method involves both literature study and field observation at STMIK Budidarma Medan. By modeling the scheduling constraints as nodes in a directed graph and using pheromone-based traversal to explore possible combinations, the system successfully generates class schedules that minimize conflicts and meet lecturer preferences. The results indicate that the ant algorithm is capable of producing optimal and practical solutions for dynamic and constraint-based scheduling needs.
Co-Authors Deswidya Hutauruk Desy Rinika Purba Diah Amelia Eko Djuniarto Elsida Aritonang Febrianto Sibuea Freddy Yakob Hutagaol, Victor Edison Hutagaol, Viktor Edison Muhamad Ridwan Muhamad Rosit Pakpahan, Victor Maruli Prily Fitria Aziz Syafriyandi Syafriyandi Viktor Edison Hutagaol Wijaya, Dhanny Hidayat Yakob, Freddy Zalzulifa Zalzulifa