Expert System for Diagnosing Pests on Oil Palm Seed Plants Using the Certainty Factor Method

Muhammad Ihsanul Fikri; Yusuf Ramadhan  Nasution

doi:10.37899/journallamultiapp.v5i2.1303

Muhammad Ihsanul Fikri Computer Science Study Program, Faculty of Science and Technology, Universitas Islam Negeri Sumatera Utara
Yusuf Ramadhan Nasution Computer Science Study Program, Faculty of Science and Technology, Universitas Islam Negeri Sumatera Utara

DOI: https://doi.org/10.37899/journallamultiapp.v5i2.1303

Keywords: Expert System, Pest Diagnosis, Palm oil, Certainty Factor Method

Abstract

Indonesia is one of the largest countries producing palm oil. The problems that often arise in oil palm seedlings are pest attacks. Oil palm seedlings diagnosed with pest attacks can be characterized by existing symptoms. Based on the phenomena that occurred, researchers created a system for diagnosing pests in oil palm seed plants, so that they could diagnose quickly and find solutions to pest problems in oil palm seed plants. This research uses a development method called waterfall. The design of this research is to plan an Expert System for Diagnosing Pests on Oil Palm Seed Plants Using the Certainty Factor Method. Based on the tests that have been carried out, the results are that the community or farmers on oil palm plantations can easily diagnose pests on oil palm seed plants in real time as long as they are connected to the internet to help diagnose pests on oil palm seed plants. Testing of the expert system showed a high level of accuracy in diagnosing pests on oil palm seedlings. The level of suitability accuracy reached more than 90%. With this expert system, oil palm plantation management can be improved significantly. Early detection of pest attacks will reduce the losses incurred and allow more effective preventive measures to be taken.

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