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

Anastasya Latubessy (Department of Informatics, Universitas Muria Kudus)
Ahmad Jazuli (Department of Informatics, Universitas Muria Kudus)

Jurnal Teknologi dan Sistem Komputer
Volume 5, Issue 4, Year 2017 (October 2017)

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.