Dentist Expert System Software in Dental Caries Detection

Background: Dentist’s knowledge can be poured into dental caries detection software. Patients with dental caries can fill their complaints of dental caries by themselves with the help of caries detection software. The aim of this study was to determine the validity of expert system software in dental caries detection. Method: This research was a quantitative description of cross-sectional approach. Subjects were 150 patients of dental caries whom diagnosed as email caries, dentinal caries, pulp hyperemia, pulpitis, pulp necrose, and pulp gangrene with polyp. Expert system software in this study was a result of software design which has been tested by validation of technology, operation, and law. The validity test of the software system was done by calculating the ratio between the amounts of accurate data with the amount of tested data multiplied by 100%. Results: Validity test for email caries detection software resulted in 96.3% with good criteria. Validity test for diagnosing the dentinal caries, pulp hyperemia resulted in 100%. Validity test for diagnosing the pulp necrose showed 89.5% with good criteria. Validity test for diagnosing the pulpitis showed 60% with good criteria. Validity test for diagnosing the pulp gangrene with polyp showed 25% with low criteria. Conclusion: It was concluded that the validity of caries detection software was 89%. With this expert system software, earlier diagnosis can be established and continued to the examination by dentists for the next treatment.