PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Vol 8 No 2 (2020): September 2020

Expert System for Areca Plant Disease Detection Using Forward Chaining Method

Muhammad Dedi Irawan (Information System
Universitas Islam Negeri Sumatera Utara)

Helmi Fauzi Siregar (Informatics Engineering
Universitas Asahan)

Muhammad Yasin Simargolang (Informatics Engineering
Universitas Asahan)

Tika Liana (Informatics Engineering
Universitas Asahan)



Article Info

Publish Date
30 Sep 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.

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Journal Info

Abbrev

piksel

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal PIKSEL diterbitkan oleh Universitas Islam 45 Bekasi untuk mewadahi hasil penelitian di bidang komputer dan informatika. Jurnal ini pertama kali diterbitkan pada tahun 2013 dengan masa terbit 2 kali dalam setahun yaitu pada bulan Januari dan September. Mulai tahun 2014, Jurnal PIKSEL mengalami ...