Expert System for Diagnosing the Potential of Online Game Addiction in College Students Using the Certainty Factor Method
Sistem Pakar Diagnosis Potensi Kecanduan Game Online pada Mahasiswa Menggunakan Metode Certainty Factor
DOI:
https://doi.org/10.21070/ups.8365Keywords:
Expert System, Certainty Factor;, Addiction, Online GamesAbstract
Online game addiction is a growing phenomenon, especially among students and university learners, which negatively affects academic performance and social life. This research aims to develop a web-based expert system that can diagnose the level of online game addiction. The method used in this system is the Certainty Factor (CF), which is employed to represent the level of expert confidence in dealing with the uncertainty of observed symptoms. The system development follows the stages of the Expert System Development Life Cycle (ESDLC), which includes problem identification, requirement analysis, knowledge acquisition, system design, testing, and implementation. The result of this research is an expert system application for diagnosing online game addiction among university students. The developed application is capable of classifying the level of online game addiction into three categories: mild, moderate, and severe.
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