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All Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
Koesdijarto, Roenardi
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Computer Science & IT Decision Sciences, Operations Research & Management

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The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases Habib, Ahmad; Sunan, Muhamat; Koesdijarto, Roenardi; Sajiyo, Sajiyo; Ronando, Elsen
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 8 No 1 (2024): February 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v8i1.20493

Abstract

Rice is one of the most important cultivated plants for human survival. The activity of cultivating rice plants becomes a livelihood for most of these residents, so the success rate of the amount of rice harvested becomes very important because they depend on how much rice can be harvested, disease diagnosis is very important for farmers, this is very important to reduce economic losses due to diseases that cause crop failure. Therefore, when dealing with rice diseases, an expert is needed to make diagnoses or solutions to rice diseases. However, an expert does not know when to come to the village, and farmers also do not understand all rice diseases. Therefore, a web-based expert system application using the forward chaining method is proposed to represent an expert to help farmers diagnose and solve diseases of rice plants with existing symptoms.
Co-Authors Elsen Ronando Habib, Ahmad Sajiyo Sajiyo, Sajiyo Sunan, Muhamat