Sistem Pakar Diagnosa Penyakit Pada Tanaman Kedelai Hijau Menggunakan Metode Teorema Bayes

Abstract

The periodic handling of soybean plant diseases is often overlooked, leading to frequent
crop failures. These crop failures cause panic among farmers who are unsure of what to do
without an expert's guidance. Therefore, in this research, the author has developed an expert
system using the Bayesian method to detect diseases in soybean plants. This system can
provide temporary solutions or handling methods to anticipate crop failures before seeking
direct assistance from an expert. The expert system is created as a web-based system with
an accuracy rate of 86%.