International Journal Of Computer, Network Security and Information System (IJCONSIST)
Vol 3 No 2 (2022): March

Accuracy of Kidney Disease Expert System Based On Certainty Factor and Dempster Shafer Algorithm

Agussalim (Unknown)
Nani Astuti Triana (Informatika STMIK Handayani Makassar)
Eristya Maya Safitri (Program Studi Sistem Informasi, Fakultas Ilmu Komputer Universitas Pembangunan Nasional “Veteran” Jawa Timur)
Anita Wulansari (Program Studi Sistem Informasi, Fakultas Ilmu Komputer Universitas Pembangunan Nasional “Veteran” Jawa Timur)
Seftin Fitri Ana Wati (Program Studi Sistem Informasi, Fakultas Ilmu Komputer Universitas Pembangunan Nasional “Veteran” Jawa Timur)

Article Info

Publish Date
05 Jun 2022

Abstract

The information technology developments today resulted in several innovations, including the existence of an Expert System. The systems help diagnose diseases without directly meeting with experts/doctors. Many researchers have proposed algorithms to improve the accuracy of the expert system to approach the diagnosis by experts/doctors, including certainty factor and dempster shader. This study compares the algorithm's accuracy with the results of expert diagnosis of kidney disease. The expert system was developed using UML and a web-based version. From the comparison results, the dempster shaver algorithm has an accuracy rate of 80%, while the certainty factor is 60% compared to expert diagnoses.

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Journal Info
International Journal Of Computer, Network Security and Information System (IJCONSIST)
Website

Abbrev

ijconsist

Publisher

Universitas Pembangunan Nasional Veteran Jawa Timur

Subject

Computer Science & IT

Description

Focus and Scope The Journal covers the whole spectrum of intelligent informatics, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • ...