Expert System For Diagnosing Diseases In Rice Plants
Zaroh Khoerunisa, Linda Perdana Wanti, Oman Somantri, Agus Susanto, Ratih Hafsarah Maharani · Advances in engineering research/Advances in Engineering Research · 2024
Rice plants play a crucial role in satisfying human dietary requirements.However, they are vulnerable to diseases and various factors that can negatively impact crop yields and grain quality.Consequently, it is imperative to possess a comprehensive understanding of rice plant care and effective farming techniques to enhance rice production.This study addresses the challenges posed by limited knowledge about rice plant diseases and suboptimal practices observed in Gapoktan, located in the Ajibarang District, Banyumas Regency.The proposed solution involves the creation of a website-based expert system utilizing the Waterfall development methodology.This system is designed using the PHP programming language, managed by the MySQL database, and implemented with the Laravel framework.To tackle uncertainties during decisionmaking, the system employs the certainty factor method.The primary objective of this expert system is to expedite the diagnosis of rice plant diseases, facilitate farmer decision-making, minimize losses, and augment crop yields.The research findings indicate an average index score of 92% for each questionnaire item, signifying a highly favorable evaluation of the developed expert system.