Certainty Factor for Online Game Addiction Scale Diagnosis — A Case Study of Informatics Student, University of Khairun

Deaprtment of Informatics, Faculty of Engineering, Universitas Khairun, Ternate, Indonesia

Abstract

Online game addiction is the behavior of someone who wants to always play online games that lasts a long time and allows the individual concerned to not be able to control it so that it can have a negative impact that can have a negative impact on health and mental if too frequently play it. The aim of this study is to diagnose the online game addiction scale to students using the certainty factor algorithm. The level of online game addiction will be divided into three levels, namely: mild, moderate and severe addiction diagnoses. The calculation process starts from determining the weight value of each symptom and then determining the weight value of the user then calculating the weight value of each symptom with the user’s weight value using the certainty factor method so as to produce how large the percentage level of online game addiction. The results showed that from a number of processed data the diagnostic results were obtained 13% of students with mild addiction, 37% of students with moderate addiction, 50% of students with severe addiction.