Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/56604
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dc.contributor.authorShandiputra B.P-
dc.contributor.authorAgustina Pradjaningsih-
dc.contributor.authorRusli Hidayat-
dc.date.accessioned2014-04-01T23:44:30Z-
dc.date.available2014-04-01T23:44:30Z-
dc.date.issued2014-04-01-
dc.identifier.issn1411-6669-
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/56604-
dc.description.abstractJob 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.isootheren_US
dc.relation.ispartofseriesMajalah Ilmiah Matematika dan Statistika;Volume 13, Juni 2013-
dc.subjectJob Shop Schedulling, AIS Algorithmen_US
dc.titleAPLIKASI 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.typeArticleen_US
Appears in Collections:Fakultas Matematika & Ilmu Pengetahuan Alam

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