Implementasi Algoritma Genetika Pada Penempatan Tugas Asisten Laboratorium Berbasis Web
Studi Kasus: LAB ICT Universitas Multimedia Nusantara
Abstract
On education system in University, the given subject is not only theoretics subject, but practicum also. In teaching practical subjects, the lecturer often experiences a difficulty to answer and handle every question that the students have in laboratory. Therefore, the assistant laboratory is needed here. One of the division in Universitas Multimedia Nusantara, ICT LAB still arranges the assignment of the assistant laboratory manually. It is difficult and takes some times. This thing becomes the reason for the development of an application ICT LAB that can do the assignment process automatically. This research is using Genetic algorithm that can calculate fitness value which show the matching level of the assignment that has been created. Based on the testing, using one point crossover, mutation on bit level, and rank selection, the average fitness value is 68.571% from all of the laboratory assistant vacancy. Based on the data used, there are 22 assignment slots on certain subjects that don’t have any applicant. So if that 22 slots are not used in the fitness calculation, there are only 118 assignment slot and the fitness value becomes 80,5%. This fitness value has problem with the quantity of student that didn’t fit to all of the assignment slot.
Index Terms - Genetic Algorithm, rank selection, one point crossover, assignment, laboratory assistant.
Downloads
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike International License (CC-BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Copyright without Restrictions
The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
The submitted papers are assumed to contain no proprietary material unprotected by patent or patent application; responsibility for technical content and for protection of proprietary material rests solely with the author(s) and their organizations and is not the responsibility of the ULTIMATICS or its Editorial Staff. The main (first/corresponding) author is responsible for ensuring that the article has been seen and approved by all the other authors. It is the responsibility of the author to obtain all necessary copyright release permissions for the use of any copyrighted materials in the manuscript prior to the submission.