Sistem Pakar Diagnosa Penyakit Gigi dengan Metode Bayesian Network Berbasis Website

  • Yunda Aisyah Universitas Mataram
  • Fitri Bimantoro Universitas Mataram
  • Budi Irmawati Universitas Mataram
DOI: https://doi.org/10.29303/jcosine.v3i2.260
Abstract: 622 Viewers PDF: 1159 Viewers
Keywords: Dental Diseases, Expert Systems, Bayesian Networks, Web-based Systems

Abstract

Teeth serve to chew food, say words clearly, form a harmonious face and for a better appearance. Healthy teeth and gums will make it easy to eat well and enjoy good food. There are some problems that can affect oral health, but good care will make the teeth and gums strong. Lack of public awareness of maintaining dental health can cause major problems later on. In this case, an expert system tool for diagnosing dental diseases will be made using the website-based Bayesian Network method. The initial step in this study was to collect data, such as data on dental disease, data on dental disease symptoms and the weight of each symptom of dental disease used. The data was obtained from three dental disease doctors in three health centers in East Lombok. After getting the data, then calculating the weights for each symptom, the results of the calculation will be summed then divided by the number of symptoms suffered by the patient. The results of these calculations can be consulted by a dental specialist.

Published
2019-12-25
Section
Intelligent System and Computer Vision