JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Vol 3, No 2 (2015): Jurnal Ilmu Komputer dan Sistem Informasi

SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT KEJIWAAN BIPOLAR DENGAN MENGGUNAKAN METODE BAYESIAN NETWORK

Olivia Prima Putri (Unknown)
Chairisni Lubis (Unknown)
Agus Budi Dharmawan (Unknown)

Article Info

Publish Date
31 Aug 2015

Abstract

Expert System is one of artificial Intelligence which uses the knowledge of an expert as its knowledge base. In this research, expert system  designed to diagnosing bipolar disorder  using the method of bayesian network. The result of this application is  the type of psychiatric diseases  bipolar and the value of the probability of each disease. In this research, the  probability of bipolar disorder test data according to medical records obtained yield was 39.39% and the results of testing using test data with new symptoms obtained yield was 55.55%. Key words Bayesian network, bipolar disorder,expert system

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Journal Info
JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Website

Abbrev

jiksi

Publisher

Universitas Tarumanagara

Subject

Computer Science & IT Mathematics Other

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIKSI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Tarumanagara (FTI Untar) Jakarta sebagai media publikasi karya ilmiah mahasiswa program studi Teknik Informatika dan Sistem Informasi FTI Untar. Karya-karya ilmiah yang dihasilkan berupa hasil ...