Implementation Of Genetic Algorithm In Optimization Of Subject Scheduling

Listanto Tri Utomo, Farid Wahyudi

Abstract


The activity of implementing teacher teaching schedules in a school is complicated. There are various aspects related to the scheduling that must be involved, among others there are schedules in which the teacher intersects with other class schedules, and the distribution of the Teaching and Learning Activities, schedule is also expected to be evenly distributed each day for each class. Therefore in this study, an application will be made that can facilitate the preparation of subject schedules automatically by implementing genetic algorithms. By making an application for preparing the schedule of subjects it is expected to facilitate and accelerate the student field in the process of making the schedule of subjects by existing resources and limitations. With this application, it is also expected to facilitate communication between teachers and students in arranging class schedules so that they can achieve optimal results at State Vocational High School 1 Malang.

DOI : https://doi.org/10.26905/jeemecs.v3i2.4346


Keywords


Scheduling;Automatic;Optimal;Genetic Algorithm

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References


Pradnyana, Nanda Bagus, Dwi Sunaryono, Abdul Munif. 2012. Designing and Making Lecture Scheduling Applications Using Genetic Algorithms and Java API for XML Web Service Technology on the Android Platform. Surabaya: Sepuluh November Technology Institute (ITS).

Mirwan, Muhammad. 2013. Optimization of District Level Government Coordination in Kota Bangun District of Kutai Kartanegara Regency. Samarinda: Fisip Unmul.

Sutojo, T, Edy Mulyanto, Dr. Vincent Suhartono. 2011. Artificial Intelligence. Yogyakarta: Andi.

Informatics. 2013. Genetic Algorithms. (http://informatika.web.id/algor algorithm-genetik.htm accessed on April 11 at 21.31)

Yuliani. 2010.Genetic Algorithm to Solve Problems with Optimization of Constrained Functions by Encoding Round Numbers.Surabaya:Department of Information Technology Adisutjipto College of Technology (STTA).

Cholis, Muhammad Nur. 2012.Applications for Moving Class Scheduling with Genetic Algorithms (Case Study of State Junior High School 1 Paiton). Malang: Informatics engineering department, Faculty of engineering, University of Muhammadiyah Malang.

Pradnyana, Nanda Bagus, Dwi Sunaryono, Abdul Munif. 2012. Design and Manufacture of Application Scheduling Lectures Using Genetic Algorithms and Java API for XML Web Service Technology on the Android Platform. Surabaya: Sepuluh November Technology Institute (ITS).




DOI: https://doi.org/10.26905/jeemecs.v3i2.4346

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