Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Caries disease in human teeth is a that permanently destroys the inner walls of and forms small holes teeth. The Indonesian people lack knowledge to find information identify tooth decay, which makes many unaware consequences dangers this disease. Tooth decay usually caused by three factors. first factor saliva, are hosts microorganisms oral cavity. Bacteria food second third purpose research help public about thus forming branch artificial intelligence, expert system. Artificial intelligence science allows you build computer systems display different ways. An system program or uses some an expert. methods used study Naive Bayes method model's view controller, implemented as database PHP Codeigniter framework MySQL. data processed symptoms dental caries obtained from experts. test results provide patients with necessary prevent accuracy rate 83.61%. This helps recognize obtain decay. Expert System can also be take step preventing