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dc.contributor.authorWidians, Joan Angelina
dc.contributor.authorRizkyani, Farahdina Nur
dc.date.accessioned2021-10-20T13:19:38Z
dc.date.available2021-10-20T13:19:38Z
dc.date.issued2020-04-12
dc.identifier.citationIEEEen_US
dc.identifier.issn2548-7779
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/7433
dc.descriptionPeer Review: Jurnal Nasional Terakreditaasi SINTA2. Joan Angelina Widiansen_US
dc.description.abstractThe lack of knowledge of palm oil farmers and general public about pests in palm oil plants will result in a lack of crop yields on these plants. The resulted in the impact of many palm oil farmers who cut down trees as an effort to eradicate of pests. The limitations of an experts makes handling palm oil plan pests difficult so it is necessary to have an experts system that is able to identify pests of palm oil and how to control them based on knowledge given directly by human experts. The inference is Forward chaining by tracing the rules based on the answers of users. And then calculated by Certainty Factor method. The result of calculation is in the form of a percentage value of confidence and user can immediately find out the type of pests identified and how to control it. This research found 7 (seven) types of pests that attack palm oil are fire caterpillar Setothosea asigna, caterpillars Dasychira inclusa, bag caterpillar Metisa plana, horn beetle Oryctes rhinoceros, termite Coptotermes curvignathus, wild rat Rattus tiomanicus, and wild pig Sus crofa. The biggest pest attact on palm oil is Termite Coptotermes Curvignathus is 88,8%en_US
dc.language.isoen_USen_US
dc.publisherTeknik Informatika Fakultas Ilmu Komputer Universitas Muslim Indonesiaen_US
dc.relation.ispartofseriesVol 12 No.1;
dc.subjectThe pests of palm oil; Expert system; Certainty Factor; Forward Chainingen_US
dc.titlePeer Review: Jurnal Nasional Terakreditasi_Widians_Identifikasi Hama Kelapa Sawit menggunakan Metode Certainty Factoren_US
dc.typeArticleen_US


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