A Novel Proposed Expert System In Diagnosing Periodontal Disease

This study objective’s is to diagnose periodontal disease by designing the rule-based expert system. This research uses applied research and rule-based reasoning in diagnosing periodontal disease. This proposed system requires inputs such as cal values, bone loss, tooth loss, and age. The outputs are periodontitis stage and periodontitis grade. Tests are carried out on an expert system with medical record data to evaluate the rules that have been generated. The proposed rule-based expert system has an output accuracy of 86%. The Rule-based reasoning method is still reliable to be used as the basis for an expert system.