Expert systems are designed aims to identify the type of fungus division Basidiomycota are fit for human consumption. This system is useful for people who want to know and learn the type of mushroom consumption of basiodycota division. In the expert system design, the author uses backward chaining inference engine and the research method used is the Literatur System, Interview, System Developmet Life Cycle (SDLC). Results of this research is in the form of application-based consulting designed website using php and mysql programming. Keywords: Expert System, Inference machine, Backward Chaining, System Development Life Cycle, Jamur Divisi Basidiomycota