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

Backward Chaining Analysis Model in Detecting Game Addiction Levels in Children

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 under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
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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Last update: 2024-10-08 20:23:54

  1. Statistical Analysis Relationship Between Behavior of Millenial Parents With Game Addictions in Children

    Anastasya Latubessy. Journal of Physics: Conference Series, 1779 (1), 2021. doi: 10.1088/1742-6596/1779/1/012085