dc.contributor.author | Shandiputra B.P | |
dc.contributor.author | Agustina Pradjaningsih | |
dc.contributor.author | Rusli Hidayat | |
dc.date.accessioned | 2014-04-01T23:44:30Z | |
dc.date.available | 2014-04-01T23:44:30Z | |
dc.date.issued | 2014-04-01 | |
dc.identifier.issn | 1411-6669 | |
dc.identifier.uri | http://repository.unej.ac.id/handle/123456789/56604 | |
dc.description.abstract | Job Shop scheduling is generally described as a case in which a job is
processed in a limited number of machines. One algorithm that can be used to
solve the problem of Job Shop is Artificial Immune System (AIS) algorithm.
The purpose of this article is to apply the AIS algorithm in the Job Shop and
to make the program AIS algorithm for solving Job Shop with PHP
programming language. This methods begins as the follwing steps; first,
processing data sequence of machines and processing time; second, draging
them randomly; third, making a program based on algorithms using the PHP
programming language and finally, finding optimal schedules. The results
showed that the AIS algorithm can be used to complete the Job Shop
scheduling so as to obtain a schedule with optimal makespan. | en_US |
dc.language.iso | other | en_US |
dc.relation.ispartofseries | Majalah Ilmiah Matematika dan Statistika;Volume 13, Juni 2013 | |
dc.subject | Job Shop Schedulling, AIS Algorithm | en_US |
dc.title | APLIKASI ALGORITMA ARTIFICIAL IMMUNE SYSTEM (AIS) PADA PENJADWALAN JOB SHOP DALAM 58 PEMBUATAN SPRING BED (Application Of Artificial Immune System (Ais) Algorithm On Job Shop Schedulling In Manufacturing Spring Bed) | en_US |
dc.type | Article | en_US |