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
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://jurnal.unismabekasi.ac.id/index.php/piksel/article/view/2291
10.33558/piksel.v8i2.2291
 
Source PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic; Vol 8 No 2 (2020): September 2020; 115 - 122
2620-3553
2303-3304
10.33558/piksel.v8i2
 
Language eng
 
Relation http://jurnal.unismabekasi.ac.id/index.php/piksel/article/view/2291/1752
 
Rights Copyright (c) 2020 PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
 

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