An Expert System for Web Mobile-Based Identification of Crystal Guava Quality with Forward Chaining

Abstract

An expert system is a system that applies human knowledge to a computer, the system is designed using a particular programming language so that the computer can solve problems like an expert. Currently, an expert system is being developed in various fields, one of which is agriculture. An agricultural expert system is being developed to detect various qualities using various methods, one of which is the forward chaining inference method. The forward link inference method is a forward tracking inference method, the design is simple and conforms to the existing rules. In this journal, researchers aim to design an expert system that can use forward chaining to determine the quality of mobile web-based guava seeds. The use of web-based mobile media makes access to the expert system easy and flexible because it can be accessed from mobile internet devices anytime and anywhere via a web browser. This design is used to design or build an expert system that uses the design of context diagrams and level 0 diagrams to facilitate the process of designing an expert system to identify the quality of web mobile-based guava seeds with forward chaining.