Application of Expert System with Web-Based Forward Chaining Method in Diagnosing Corn Plant Disease
Muhammad Saiful, Amri Muliawan Nur · Journal of Physics Conference Series · 2020
Abstract Corn plants are crops in agriculture which are widely cultivated, especially in the Jerowaru area. The empowerment of corn plants is often constrained by disease. Diseases in maize plants are caused by fungi, bacteria, viruses, soil conditions, and weather conditions. Diseases that attack corn plants can result in decreased productivity of corn plants. On the other hand, the limited number of agricultural extension workers makes farmers unable to quickly consult, therefore it is necessary to create a system that can provide information, make decisions and provide solutions regarding web-based corn plant diseases can diagnose corn plant diseases based on symptoms experienced corn plant. This expert system is designed using the Forward Chaining method consisting of several stages, namely, the stages of assessment, knowledge acquisition, design, and testing. Based on the results of tests conducted, this method can provide solutions in dealing with problems related to corn diseases and pests.