Sistem Pakar Akurasi dalam Mengidentifikasi Penyakit Gingivitis pada Gigi Manusia dengan Metode Naive Bayes

Gingivitis is a condition where the gums become inflamed due to bacterial infection, causing swell. if treated too late will trigger more dangerous dental disease. Minimize knowledge about gingivitis and limited time consult with experts so that people pay less attention oral health which can indicate gingivitis. The purpose of this study was determine accuracy in identifying disease using Naive Bayes method, help public find out information gingivitis, system built. Expert System from entered into computer or be used for consultation. data were 24 symptom 5 types sourced interviews an expert. dentists at Rahmatan Lil Alamin Clinic. obtained results medical records patients who perform examinations dentists. processed symptoms teeth result test largest value total probability found type gum Puberty 0.000106795855. This research community conduct consultations easily, early do not have go hospital long distance.