Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 12 (2018): Desember 2018

Diagnosis Penyakit Kelamin Laki-Laki Menggunakan Metode Bayesian Network

Yori Tri Cuswantoro (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Ratih Kartika Dewi (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
14 Aug 2018

Abstract

Venereal disease is a disease that attacks the male and female genital organs that are usually transmitted through sex or oral sex. In Indonesia, the most common sexually transmitted diseases are syphilis and gonorrhea, the prevalence of sexually transmitted diseases in Indonesia is very high, in Jakarta the prevalence of gonorrhea is 29.8%, syphilis 25.2% and chlamydia 22.7%. Everyone can get a sexually transmitted disease. The tendency of increasing the spread of this disease is caused by the sexual behavior of multiple partners, and the existence of a high premarital sexual relationship. Bayesian Network is a simple Probabilistic Graphical Model (PGM) built from probabilistic theory and graph theory. The variables needed in this study are symptoms of male genital disease. After the symptoms are entered, it will be processed by the Bayesian Network. The result of the bayesian network is the diagnosis of male genital disease. The accuracy obtained from the test results is 88.57%.

Copyrights © 2018






Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...