Analisis Model Penelusuran Backward Chaining dalam Mendeteksi Tingkat Kecanduan Game pada Anak

Backward Chaining Analysis Model in Detecting Game Addiction Levels in Children

*Anastasya Latubessy orcid scopus  -  Department of Informatics, Universitas Muria Kudus, Indonesia
Ahmad Jazuli  -  Department of Informatics, Universitas Muria Kudus, Indonesia
Received: 29 May 2017; Published: 13 Oct 2017.
Open Access Copyright (c) 2017 Jurnal Teknologi dan Sistem Komputer
License URL: http://creativecommons.org/licenses/by-sa/4.0

Citation Format:
Article Info
Section: Articles
Language: ID
In Volume 5, Issue 4, Year 2017 (October 2017)
Statistics: 1874 1415
Abstract

Game addiction rate can be detected by applying expert system. This study developed a model of game addiction analysis using backward chaining. This model uses six types of game addiction behavior, among others, salience, euphoria, conflict, tolerance, withdrawal, relapse and reinstatement. Someone is said to be addicted to the game if it meets at least three types of game addiction behavior. Testing the validity of the model is done by testing the closeness of the agreement between the model analysis and expert analysis, resulting in a value of 0.78 which means having a strong agreement.

Keywords
backward chaining analysis; game addiction detection; game addiction model

Article Metrics:

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