IJISTECH
Vol 7, No 4 (2023): The December edition

Subject Scheduling Application Using Genetic Algorithm

Wijaya, Benny (Unknown)
Irawadi, Syafrul (Unknown)
Sari, Lili Indah (Unknown)
Probonegoro, Wishnu Aribowo (Unknown)



Article Info

Publish Date
30 Dec 2023

Abstract

Scheduling is a very important issue in an educational institution. The many obstacles sometimes make scheduling difficult to create. One method for solving such problems is to use genetic algorithms. Based on this background, the formulation of the problem of this study is "how to implement genetic algorithms for subject scheduling applications at SMK Bakti Pangkalpinang". The purpose of this study is to implement genetic algorithms for subject scheduling, formulate subject scheduling problems so that they can be solved with genetic algorithms and help schedule preparation to be more efficient. Genetic algorithms are heuristic search algorithms based on biological evolutionary mechanisms. In this study the author uses a prototype model, which includes activities such as gathering needs, designing and evaluating. The result of this study is an application that can be used to compile a lesson schedule with the desired results. Testing is done with blackbox testing and the test results show the application can function properly.

Copyrights © 2023






Journal Info

Abbrev

ijistech

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

Description

IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: ...