Perancangan Aplikasi Penjadwalan Kuliah Pada Perguruan Tinggi

Abstract

Scheduling lectures in higher education is a complex task because it involves many factors such as room
availability, lecturer teaching time, and student needs. Therefore, effective and efficient optimization techniques
are needed to solve this scheduling problem. This research was conducted to design an effective and efficient
lecture scheduling application using genetic algorithms at diploma and undergraduate levels. By using a genetic
algorithm, it is hoped that it can produce a lecture schedule that meets the given requirements and constraints,
such as minimizing schedule conflicts, optimizing room use, and maximizing lecturer teaching time. The problems
raised from this research can be solved by determining the parameters of the genetic algorithm used in scheduling
lectures, determining the factors that need to be considered in scheduling lectures using genetic algorithms, the
design can be tested and evaluated to see the performance of the genetic algorithm. Lecture scheduling application
built using a genetic algorithm