Jurnal Transformatika
Vol. 21 No. 2 (2024): Januari 2024

EXPERT SYSTEM FOR DIAGNOSING DISEASES IN DOGS BASED ON WEB USING DEMPSTER-SHAFER METHOD

Olsen Junior Nalle (Universitas Nusa Cendana)
Derwin Rony Sina (Universitas Nusa Cendana)
Juan Rizky Mannuel Ledoh (Universitas Nusa Cendana)



Article Info

Publish Date
13 Mar 2024

Abstract

In the study titled " Expert System For Diagnosing Diseases In Dogs Based On Web Using Dempster-Shafer Method " it was found that keeping dogs provides positive benefits to human mental health. Despite dogs having rapid adaptability, high loyalty, as well as significant development and intelligence, proper care is essential to maintain their health and prevent diseases. The limitation in the number of veterinary doctors poses a challenge in handling animal diseases, particularly in dogs. Hence, this research utilizes an Expert System with the Dempster-Shafer method to diagnose canine diseases. Out of 45 test cases used to evaluate the system, it achieved an accuracy rate of 88.89% in comparison to veterinary doctors' diagnoses. Some cases showed discrepancies due to related symptoms, accounting for 11.11%, with more than one disease type within the system and having a confidence level below 70%.

Copyrights © 2024






Journal Info

Abbrev

TRANSFORMATIKA

Publisher

Subject

Computer Science & IT

Description

Transformatika is a peer reviewed Journal in Indonesian and English published two issues per year (January and July). The aim of Transformatika is to publish high-quality articles of the latest developments in the field of Information Technology. We accept the article with the scope of Information ...