MODEL CASE BASED REASONING DALAM MENDIAGNOSA PENYAKIT KELAPA SAWIT

  • Tulus Pramita Sihaloho Sistem Informasi, Universitas Mandiri Bina Prestasi
  • Wanra Tarigan Sistem Informasi, Universitas Mandiri Bina Prestasi
  • Sariadin Siallagan Manajemen Informatika, Universitas Mandiri Bina Prestasi
  • Fauzi Haris Simbolon Teknik Informatika, Universitas Mandiri Bina Prestasi

Abstract

Oil palm plantations have an important role in the development of national plantations in Indonesia. In addition to being a source of foreign exchange earnings for the country, it is also a job creator that can improve the welfare of the community. The lack of information to deal with oil palm diseases is even difficult for ordinary people to directly communicate with an expert, making it difficult for farmers to deal with diseases in oil palm plants. From the explanation above, the author makes an expert system to diagnose oil palm plant diseases with the Case Base Relationong (CBR) method which helps farmers work in providing information and conclusions about the diseases suffered in oil palm plants. Experiments are carried out by diagnosing the symptoms of oil palm plant diseases and types of oil palm diseases, and providing the right solution for handling them. CBR was developed from a similarity-based learning system. Based on and analysis of the Oil Palm disease diagnosis system, experts judge based on an assessment using the CBR method. Based on the calculation of the CBR approach to the old case of 0.78.

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Published
2022-09-13
How to Cite
SihalohoT. P., TariganW., SiallaganS. and Haris SimbolonF. (2022) “MODEL CASE BASED REASONING DALAM MENDIAGNOSA PENYAKIT KELAPA SAWIT”, Mnemonic : Jurnal Teknik Informatika, 5(2), pp. 178-183. doi: 10.36040/mnemonic.v5i2.5248.