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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Christ Bastian Waruwu
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Computer Science & IT Mathematics Other

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STUDI KASUS SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PERNAPASAN Christ Bastian Waruwu; Chairisni Lubis; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 1 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (86.53 KB) | DOI: 10.24912/jiksi.v4i1.140

Abstract

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.
Co-Authors Agus Budi Dharmawan Agus Budi Dharmawan Chairisni Lubis