Infotekmesin
Vol 10, No 2 (2019): Infotekmesin: Juli 2019

IMPLEMENTASI EXPERT SYSTEM UNTUK MENGETAHUI PENYAKIT HIV AIDS MENGGUNAKAN ALGORITMA BEST-FIRST SEARCH

Nurdiawan, Odi (Unknown)
Pratama, Fidya Arie (Unknown)
Nurhadiansyah, Nurhadiansyah (Unknown)



Article Info

Publish Date
31 Jul 2019

Abstract

According to UNAIDS until 2018, there are around 690 thousand people with HIV in Indonesia. Until now HIV is a virus that is slow to diagnose, but there are ways that can be used to diagnose the HIV virus. One way to find out whether someone is infected or not is by taking HIV test accompanied by counseling in the clinic (Voluntary HIV Counseling and Testing). Prospective patients feel ashamed during the initial diagnosis of a health examination. To solve these problems, it is necessary to build a system capable to diagnose HIV / AIDS using the best first search algorithm. The result of this study is to be able to facilitate patients checking their health by computerization easily, quickly and precisely, especially about HIV AIDS. Based on the system evaluation of the respondents, RK test results are obtained from the convenient use of the HIV expert system application that has a value of 3.72 with the title of satisfaction. the RK test results from the benefits of using the HIV expert system application has a value of 3.96 with the title of satisfaction.

Copyrights © 2019






Journal Info

Abbrev

infotekmesin

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

Description

INFOTEKMESIN is a peer-reviewed open-access journal with e-ISSN 2685-9858 and p-ISSN: 2087-1627 published by Pusat Penelitian dan Pengabdian Masyarakat (P3M) Politeknik Negeri Cilacap. The journal invites scientists and engineers to exchange and disseminate theoretical and practice-oriented in the ...