STUDI KASUS SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PERNAPASAN

Christ Bastian Waruwu
Chairisni Lubis
Agus Budi Dharmawan

JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 4, No 1 (2016): Jurnal Ilmu Komputer dan Sistem Informasi

In coping with a disease usually go to the doctor or to a health clinic to get the healing, especially respiratory diseases. Because so many respiratory diseases and symptoms, so an expert or a doctor needs to examine more deeply the symptoms experienced by patients to be able determine the illness. Therefore made respiratory expert system using Dempster Shafer and Naïve Bayes Classifier. In the research, the results of testing both methods are respectively 90% in Dempster-Shafer method and 94,28% in Naïve Bayes Classifier method.