PERBANDINGAN METODE NAIVE BAYES DAN DEMPSTER SHAFER UNTUK MENENTUKAN DIAGNOSA PENYAKIT PADA KUCING (Studi Kasus: Vet Clinic Drh. Honismandri)

  • Fatemawati Fatemawati Alumni Program Studi Informatika Fakultas Teknik
  • Nurfalinda Nurfalinda Dosen Fakultas Teknik UMRAH
  • Alena Uperiati Dosen Fakultas Teknik UMRAH
Keywords: cat disease, naïve bayes, dempster shafer, Expert System, Case Base Reasoning (CBR)

Abstract

Veterinary clinic is a pet clinic located in Jl. Peace, gg. Setia Tanjungpinang. Veterinary clinics are currently diagnosing cat diseases, recording owner data, checking up, bathing manually. To help simplify the work needed methods that can determine the diagnosis of diseases in animals. One way to determine cat disease uses an expert system. Expert system for diagnosing cat diseases using the Naive Bayes - Dempster shafer method is a system that will diagnose cat disease based on symptoms entered from the system user. In this study the data obtained is the result of veterinary interviews. This research focuses on cat disease in Tanjung Pinang Clinical Vet in 2018-2019 The amount of actual data is 100 data. Case data tested in the study as many as 40 data. From the above data it can be seen the percentage of validation for the Dempster Shafer and Naïve Bayes methods. The naïve bayes method is better than the dempster shafer method, the percentage for naïve bayes is 52.50% while the demster shafer is 47.50%.

Published
2020-11-23
Section
Teknik Informatika