Pradika, Alfian Angga and ., Jusak and Lemantara, Julianto (2012) Sistem Pakar Fuzzy Untuk Mendiagnosis Gangguan Jiwa Skizofrenia (Studi Kasus RS. Jiwa Menur Surabaya). In: Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2012, 04 Oktober 2012, Surabaya.

[img]
Preview
Text
2012-SC-17.pdf - Published Version

Download (732kB) | Preview

Abstract

Skizofrenia is a clinical syndrome with a variety of psikopatology, usually severe , lasts long and the victim can be identified by a deviation from their thoughts, perceptions and emotions. There are many types of schizophrenia syndrome, Based on interviews with the doctor at Jiwa Menur mental hospital, schizophrenia syndromes usually have similar symptoms, moreover some have only two to three distinguished symptoms. Those schizophrenia syndromes that have similar symptoms could potentially create errors in the process of determining the type of mental disorder of schizophrenia syndrome. Based on the above problems an expert system application will be made to diagnose the type of mental disorder from schizophrenia syndrome, and due to the unavailability of such applications that can help the doctor at the Jiwa Menur mental hospital. This system uses the fuzzy expert system method. This method will track each of the symptoms experienced by the victim of schizophrenia syndrome, and matching the symptoms with existing rules to produces a diagnosis report. The results of diagnostic testing with expert knowledge of the system indicates that the system is able to detect the type of mental disorder on schizophrenia syndromes with 87,5% accuracy of the diagnostic result, which has been implemented to the eight victims. This system also provide treatment based on the types of schizophrenia experienced by the victim.


Statistics for Stikom-IR 546
Statistics for this Stikom-IR item
Social Share:
Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN : 978-979-8968-35-8
Uncontrolled Keywords: Expert System, Fuzzy Expert System, Mental Disorder, Skizofrenia Syndrome
Subjects: 600 – Technology > 650 Management & auxiliary services
Divisions: Penelitian dan Pengabdian Masyarakat > Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2012
Depositing User: Agung P. W.
Date Deposited: 02 Sep 2014 09:32
Last Modified: 02 Sep 2014 09:32
URI: http://sir.stikom.edu/id/eprint/546

Actions (login required)

View Item View Item