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dc.contributor.advisorZarlis, Muhammad
dc.contributor.advisorSembiring, Rahmat Widia
dc.contributor.authorHarliana, Putri
dc.date.accessioned2022-11-24T04:12:44Z
dc.date.available2022-11-24T04:12:44Z
dc.date.issued2015
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/64308
dc.description.abstractAdaptive neuro fuzzy inference system (ANFIS) is method that used neural network for implementation of fuzzy inference system The advantages of ANFIS contained on its ability to present a well-structured knowledge representation so that allow a better integration with other control design methods. In this research, ANFIS model is used to predict the value of budget with membership function' Membership function used is triangular and shoulder. From the results of the analysis can know that membership function affected prediction results greatly, However, it does not have a lot of difference to prediction resultsen_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectANFISen_US
dc.subjectMembership functionen_US
dc.subjectPredictionen_US
dc.subjectBudgeten_US
dc.titleAnalisis Model Adaptive Neuro Fuzzy Inference System (ANFIS) dalam Sistem Prediksien_US
dc.typeThesisen_US
dc.identifier.nimNIM127038054
dc.identifier.nidnNIDN0001075703
dc.identifier.kodeprodiKODEPRODI55101#TeknikInformatika
dc.description.pages117 Halamanen_US
dc.description.typeTesis Magisteren_US


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