Expert System for Areca Plant Disease Detection Using Forward Chaining Method

PIKSEL (Penelitian Ilmu Komputer Sistem Embedded dan Logic)

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Title Expert System for Areca Plant Disease Detection Using Forward Chaining Method
Creator Irawan, Muhammad Dedi
Siregar, Helmi Fauzi
Simargolang, Muhammad Yasin
Liana, Tika
Description Areca palm has been widely planted by the people of the Asahan Regency. This plant is cultivated not only by the farmers, but also by many people living in this regency. Therefore, an expert system is needed to help villagers in detecting areca palm desease. In areca palm cultivation, pests and diseases attack always happen. The purpose of this research is to apply an expert system as a tool to diagnose and also provide advice for control. This expert system, in the form of a consultation scenario, can be done by answering every question (yes or no); all answers are compared to the areca palm plants needs based-on expert experience. The inference method used is forward chaining. The output of this system is the types of diseases, percentages, symptoms, definitions, treatment, and prevention.
Keywords: Areca Palm, Expert System, Forward Chaining.
Publisher LPPM Universitas Islam 45 Bekasi
Date 2020-09-30
Type info:eu-repo/semantics/article
Format application/pdf
Source PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic; Vol 8 No 2 (2020): September 2020; 115 - 122
Language eng
Rights Copyright (c) 2020 PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic

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