Abstrak
Akhmad Shodikin, C1855201041, 2023. Diagnosis of diseases and pests in noni fruit with web-based forward chaining method, Supervisor I Lili Rusdiana, M.Kom., M.Cs., Supervisor II Catharina Elmayantie, M.Pd. Noni is one of the tropical plants that can be used as food ingredients and herbal medicine. The presence of pests / diseases in noni fruit planting areas usually does not cause crop failure but can result in reduced yields and decreased quality of noni fruit produced. Based on these problems, the author designed an artificial intelligence system to diagnose diseases and pests in noni fruit plants, where the system to be developed by the author can provide benefits for farmers who need consultation on pest disorders and diseases in noni fruit plants. In conducting this Final Project research there are three methods used by the author which include data collection methods, system development methods and inference methods used in the system. The data collection methods are observation, interviews, and literature studies. The system development method that the author uses is the Rapid Application Development (RAD) method. While the inference method used in the system is the Forward Chaining method as the brain of the expert system built by the author. The final result of this study is in the form of an application for disease diagnosis in noni fruit plants based on the web with a forward chaining method that can be used by noni fruit farmers to help the cultivation process of noni fruit plants so that the quality of the fruit produced is of high quality. Keywords: forward chaining, pests, noni, disease, website.