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All Journal Jurnal Teknologi Informasi dan Terapan (J-TIT)
Dewi Wulansari
Politeknik Elektronika Negeri Surabaya, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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A Chatbot-Based Expert System for Food Crop Disease Diagnosis Saniyatul Mawaddah; Muhammad Turmudzi; Dewi Wulansari; Agus Wibowo
Jurnal Teknologi Informasi dan Terapan Vol 13 No 1 (2026): June
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v13i1.492

Abstract

The agricultural sector is very important for Indonesia's food security, however, plant diseases pose a serious threat that can significantly reduce crop yields. The limited availability of agricultural experts often hinders farmers from obtaining rapid and accurate diagnoses. To address this issue, this research develops a chatbot-based expert system using the forward chaining method to assist farmers in conducting self-diagnosis. This method works by drawing conclusions from the symptoms entered, while the chatbot provides real-time interactions that are easy to use. System testing shows good performance, black box testing ensures that all features operate without errors, with a diagnostic accuracy of 87.5 percent, as 42 out of 48 cases correspond with expert assessments. Furthermore, usability testing with 52 respondents yields a System Usability Scale score of 79.18, categorized as good. The results of this research indicate that the developed system is accurate, efficient, and practical, with the potential to serve as a widely applicable solution to help
Co-Authors Agus Wibowo Muhammad Turmudzi Saniyatul Mawaddah