dc.contributor.advisor | Zarlis, Muhammad | |
dc.contributor.advisor | Sembiring, Rahmat Widia | |
dc.contributor.author | Harliana, Putri | |
dc.date.accessioned | 2022-11-24T04:12:44Z | |
dc.date.available | 2022-11-24T04:12:44Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/64308 | |
dc.description.abstract | Adaptive 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 results | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | ANFIS | en_US |
dc.subject | Membership function | en_US |
dc.subject | Prediction | en_US |
dc.subject | Budget | en_US |
dc.title | Analisis Model Adaptive Neuro Fuzzy Inference System (ANFIS) dalam Sistem Prediksi | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM127038054 | |
dc.identifier.nidn | NIDN0001075703 | |
dc.identifier.kodeprodi | KODEPRODI55101#TeknikInformatika | |
dc.description.pages | 117 Halaman | en_US |
dc.description.type | Tesis Magister | en_US |