Bulletin of Information Technology (BIT)
Vol 4 No 3: September 2023

The Expert System of Determining the Type of Malaria by using Dempster-Shafer Method

Ronal Maruli Marusaha (Universitas Medan Area)
Dian Noviandri (Universitas Medan Area)
Andre Hasudungan Lubis (Universitas Medan Area)



Article Info

Publish Date
26 Sep 2023

Abstract

Malaria is the most dominant disease in Asia and Africa and may become a life-threatening disease for it suffers. The types of malaria such as Plasmodium Vivax, Plasmodium Ovale, Plasmodium Malariae, and Plasmodium Falciparum are mostly infected people around the world. These types of malaria have certain symptoms that drives difficulties for some patients to confirm which malaria that their infected. A clinical testing and medical diagnostic assessments may be performed to determine the types of malaria, but utilizing a system also brings some benefits for rural areas which lack of medical facilities. The study develops a system by implementing the Dempster Shafer method to determine types of malaria. We collected the knowledge from the experts including 18 possible symptoms along with the density value. This paper present 5 cases of sufferers and provide the system result with the possibilities of malaria types. The result pointed out a various percentage of malaria types that may infected to the patients.

Copyrights © 2023






Journal Info

Abbrev

BIT

Publisher

Subject

Computer Science & IT

Description

Jurnal Bulletin of Information Technology (BIT) memuat tentang artikel hasil penelitian dan kajian konseptual bidang teknik informatika, ilmu komputer dan sistem informasi. Topik utama yang diterbitkan mencakup:berisi kajian ilmiah informatika tentang : Sistem Pendukung Keputusan Sistem Pakar Sistem ...