Implementation of an Expert System for Diagnosing Diseases in Chili Plants Using the Forward Chaining Method on an Android-Based Platform

Main Article Content

Devara Yudia Alindi
Rika Idmayanti
Tri Lestari

Abstract

Chili cultivation is highly popular among farmers, as chili peppers are one of the most sought-after vegetable commodities in Indonesia. However, farmers frequently encounter issues with pests and diseases affecting their chili crops. To address these challenges, farmers often rely on limited existing knowledge or seek advice from others—an approach that proves ineffective, given the scarcity of true experts in chili cultivation. An expert system offers a solution to this shortage of specialized expertise. This particular expert system, developed as an Android-based application, utilizes "forward-chaining" and "certainty factor" methods. It is designed for users who require information and guidance regarding pests and diseases in chili plants. The system diagnoses symptoms reported by the user, subsequently providing conclusions and recommended solutions for managing these pests and diseases. With this Android-based expert system, the limited availability of human experts is no longer a barrier for chili farmers; they can access information and consultations concerning chili plant pests and diseases online, without the need for a face-to-face meeting with an expert.

Article Details

How to Cite
Alindi, D. Y., Idmayanti, R., & Lestari, T. (2023). Implementation of an Expert System for Diagnosing Diseases in Chili Plants Using the Forward Chaining Method on an Android-Based Platform. JITSI : Jurnal Ilmiah Teknologi Sistem Informasi, 4(2), 74 - 81. https://doi.org/10.62527/jitsi.4.2.117
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Articles

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