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Expert System for Areca Plant Disease Detection Using Forward Chaining Method

Authors :
Tika Liana
Helmi Fauzi Siregar
Muhammad Yasin Simargolang
Muhammad Dedi Irawan
Source :
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic. 8:115-122
Publication Year :
2020
Publisher :
Universitas Islam 45, 2020.

Abstract

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.

Details

ISSN :
26203553 and 23033304
Volume :
8
Database :
OpenAIRE
Journal :
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Accession number :
edsair.doi...........069da84c20090b06795f15cf62107424