Open AccessThe Implementation of Genetic Algorithm in The Vehicle KIR Test Scheduling System
Author(s) -
Suprihadi Suprihadi,
Rama Aufadha Risqullah
Publication year - 2021
Publication title -
creative communication and innovative technology journal
Language(s) - English
Resource type - Journals
ISSN - 2655-4275
DOI - 10.33050/ccit.v14i1.1114
Subject(s) - computer science , scheduling (production processes) , schedule , engineering , operating system , operations management
Based on the results of observations and data collection, the vehicle parking test services at the Salatiga City Transportation Agency have not implemented a structured scheduling system in managing their service schedules. This has resulted in an accumulation of the number of vehicles that exceed the service capacity on a working day. Therefore, a scheduling system is needed to assist the agency in arranging the due time schedule for the KIR test of a vehicle, and helping the vehicle owner community to find out the due time for the next KIR test. The scheduling method used is a genetic algorithm that is applied to a web-based application. The application is built using the PHP language and MySql database. With this website-based scheduling system application, it has made it easier for service officers to manage the KIR test service schedule, especially if there is a change in the number of vehicles.