SISTEM BERBASIS ATURAN UNTUK MENENTUKAN TINGKAT GANGGUAN MANIC DEPRESSION

WIJAYA, GURUH and KUSUMADEWI, SRI and WAHYUNINGSIH, HEPI (2017) SISTEM BERBASIS ATURAN UNTUK MENENTUKAN TINGKAT GANGGUAN MANIC DEPRESSION. INFORMAL, Faculty of Computer Science, Universitas Jember..

	Text PEER REVIEW GURUH WIJAYA.pdf Download (104kB)
	Text TURNITIN GURUH WIJAYA.pdf Download (1MB)
	Text JURNAL GURUH WIJAYA.pdf Download (1MB)

Official URL: https://jurnal.unej.ac.id/index.php/INFORMAL/artic...

Abstract

Manic Depression Disorder is often a trigger for people to do things beyond their normal behavior, can even lead to extreme behavior. There are several scales that can be used to indicate the extent of this disturbance. The most commonly used scales are the Depression Trend (BDI), the Anxiety Scale (TMAS), and the Suicidal Tendency Scale (SIBD). In this research will be built case-based system to determine the level of disturbance Manic Depression by using scale BDI, SIBD and TMAS. The subjects used were the inmates of Class IIA Jember by using a rule-based expert system. The rules are derived from literature studies and input from experts. To increase flexibility, the system is designed web-based. Expert systems are offered as second choice after specialist medical personnel. The results of this study are expected to be a reference for prisons and related parties to develop problem-based intervention programs, especially those related to prevention and curative programs in addressing these psychological problems.

Item Type:	Peer Review
Uncontrolled Keywords:	Expert systems, psychiatric diagnosis, prisoners
Subjects:	000 Computer Science, Information, & General Works > 005 Computer Programming, Programs, & Data 100 Philosophy > 150 Psychology > 153 Conscious Mental Process and Intelligence
Divisions:	Faculty of Engineering > Department of Informatics Engineering (S1)
Depositing User:	Guruh Wijaya
Contact Email Address:	guruh.wijaya@unmuhjember.ac.id
Date Deposited:	15 Feb 2022 05:00
Last Modified:	15 Feb 2022 05:00
URI:	http://repository.unmuhjember.ac.id/id/eprint/12927

Actions (login required)

View Item