Work

Design And Development of a Web-Based Course Scheduling Information System Using a Genetic Algorithm Implementation

Year: 2026

Type: article

Abstract: Purpose:This study develops a web-based course timetabling system using a genetic algorithm and evaluates the algorithm configuration and system functionality.Methodology:The research adopts Design Science Research and Waterfall software development. Tests covered 817 courses from 18 programs, five parameter scenarios, 498 unit tests, and 14 black-box scenarios.Findings:A population of 50, crossover rate of 0.8, and mutation rate of 0.01 achieved feasible schedules in all repeated tests across the three program sizes. All 14 black-box scenarios produced the expected results.Implications:The system supports prototype academic scheduling across study programs, although some testing attributes were synthetic and operational validation is still needed.

Source: Journal of Entrepreneurial and Business Diversity

DOI: 10.38142/jebd.v4i4.464

Authors: I Kadek Santika, Gede Humaswara Prathama

Institution: University of National Education

Language: English

Topic: Scheduling and Timetabling Solutions

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W7223651751

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