SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BIBIT AYAM BROILER MENGGUNAKAN METODE MOORA

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dc.contributor.authorHasanah, Niswatun
dc.contributor.supervisorAstried, Astried
dc.date.accessioned2022-08-23T02:14:44Z
dc.date.available2022-08-23T02:14:44Z
dc.date.issued2022-04
dc.description.abstractBroiler is a type of broiler which is the result of crosses from chicken breeds that have high productivity. There are several broiler strains (trademarks) that have been successfully developed in Indonesia such as the CP 707 Strain, Lohman Strain (MB 202), Super Chick Strain, Cobb 500 Strain, Ross Strain, and Hybro Strain. The purpose of this study was to determine the best quality broiler chicks based on a decision support system using the MOORA method. The MOORA method in this decision support system plays a role in generating the value of broiler chicks in accordance with the required criteria. This system is designed using UML diagrams, PHP framework and MySQL database. The results obtained from this study are the alternative that has the highest weight, namely Strain CP 707 with a total value of 0.297139, so that these results can assist farmers in making decisions for determining broiler chicks.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10653
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectBroiler Breedingen_US
dc.subjectMOORAen_US
dc.subjectMySQLen_US
dc.subjectDecision Support Systemen_US
dc.subjectUMLen_US
dc.subjectPHPen_US
dc.titleSISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BIBIT AYAM BROILER MENGGUNAKAN METODE MOORAen_US
dc.typeArticleen_US

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