dc.contributor.advisor | Zarlis, Muhammad | |
dc.contributor.advisor | Situmorang, Zakarias | |
dc.contributor.author | Dafitri, Haida | |
dc.date.accessioned | 2023-04-05T04:49:22Z | |
dc.date.available | 2023-04-05T04:49:22Z | |
dc.date.issued | 2013 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/83855 | |
dc.description.abstract | On agricultural area in particular on oil palm agronomy, agribusinesses increasing effort oil palm plant be still experience interference. Main interference that often been faced is its low problem quality and oil palm plant productivity that resulting. One of that problem cause is reverential marks sense pest attack trouble and disease. To get perform operation aright, therefore beforehand has to be identified by pest and disease that attacks. Generally identifies that was done by expert. Rule Based Expert System's Developmental analysis To Identify Pest and Disease on oil palm Plant is developed with aim to help deep identify pest and disease that attack oil palm plant to be able to been done operation to pest and that disease and gets to compare method which efesien the most is utilized to the case of. Result processes to identify as pest or disease that attacks and percentage in all probability and operation way that can be done. With marks sense Analysis Rule Based Expert System's Development To Identify Pest and Disease on diharapakan's oil palm Plant can know more method purpose efesien and is expected gets to help in term handle pest and disease attack on oil palm plant, so in the presence pest and disease on oil palm plant can more be restrained. | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.title | Analisis Pengembangan Rule Based Expert Sistem untuk Identifikasi Hama dan Penyakit pada Tanaman Kelapa Sawit | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM117038044 | |
dc.identifier.nidn | NIDN0001075703 | |
dc.identifier.kodeprodi | KODEPRODI55101#TeknikInformatika | |
dc.description.pages | 77 Halaman | en_US |
dc.description.type | Tesis Magister | en_US |