Expert system applications for early diagnosis teeth and oral disease in children

Teeth and mouth disease is one of the most common health problems complained by Indonesian society. Especially for children who still lack the awareness to maintain oral health and busy parents who sometimes causing delays in the handling of oral health in children. The purpose of this research is to make the application of expert system for the diagnosis of teeth and oral diseases in children. This application diagnoses diseases with using method of forward chaining and Bayes Theorem. The methods are to create a decision tree, then do a search with forward chaining, and calculating values by the method of Bayesian probability. The results of research in the form of expert system applications that can diagnose oral disease in children with enough accuracy can help in addressing the problem of oral diseases in children.