Prosiding Snastikom
Vol. 1 No. 1 (2021): Prosiding Snastikom 2021

Implementasi Metode Teorema Bayes Untuk Mendiagnosa Penyakit Pyometra (Infeksi Rahim) Pada Kucing Sphinx

Muhammad Dahria (Universitas Harapan Medan)
Hendryan Winata (Universitas Harapan Medan)
Zulkifli Lubis (Universitas Harapan Medan)



Article Info

Publish Date
30 Oct 2021

Abstract

The continued increase in the number of cat owners is not matched by the relatively small number of veterinarians. Cat owners often can't tell that their cat is sick. The limited time and availability of veterinarians made the delay in handling the cat which resulted in the disease getting worse. Not a few keepers are confused when their cat looks gloomy, weak, and doesn't even know the cat is suffering from pyometra or uterine infection. To be able to solve existing problems, one way that can be done is to use an expert system. The method used is the Bayes Theorem method. The Bayes theorem method is one of the expert system methods that aims to determine the value of certainty in a disease. This study aims to create a computer-based system that can make it easier to diagnose Pyometra disease and can help the Indonesian Cat Association. The results of these problems are in the form of an expert system application to diagnose Pyometra disease in Sphinx cats and get accurate diagnosis results

Copyrights © 2021






Journal Info

Abbrev

SNASTIKOM2020

Publisher

Subject

Computer Science & IT Library & Information Science

Description

seminar Nasional Teknologi Informasi dan Komunikasi yang diselangarakan oleh Program Studi Teknik Informatika Universitas Harapan Medan merupakan agenda kegiatan tahunan sebagai sarana pengembangan ilmu pengetahuan dibidang teknologi informasi dan komunikasi untuk mahasiswa, akademisi maupun ...