Analysis of the Pattern of the Relationship the Intensity of Playing Onilne Games and Learning Interest Using Association Rule Mining (Apriori) at STMIK KAPUTAMA

Evan Syahputra Meliala

doi:10.59934/jaiea.v5i1.1555

Authors

Evan Syahputra Meliala STMIK Kaputa

DOI:

https://doi.org/10.59934/jaiea.v5i1.1555

Keywords:

Online Games, Learning Interest, Association Rule Mining, A priori, RapidMiner.

Abstract

The rapid development of information technology has a significant impact on the learning lives of students, one of which is through the increasing intensity of playing online games. This phenomenon raises concerns regarding its influence on learning interests, so it is necessary to conduct an in-depth analysis to see the pattern of relationships that occur. This study aims to analyze the relationship between the intensity of playing online games and the learning interest of STMIK Kaputama students using the Association Rule Mining method with a priori algorithm. The research data was obtained through questionnaires that were shared with students, then processed into binary tabular forms so that they could be processed using the RapidMiner software. The analysis process is carried out through the stage of forming frequent itemset, calculating support and confidence, to finding association rules that meet the minimum requirements. The results showed that there were several significant relationship patterns between the variables of the intensity of playing online games and learning interest. For example, the pattern "PS1 & WBS4 & TKG2 & UWB1" has support of 35% and results in a confidence value that shows a strong association between playing time factors, dependency levels, and learning efforts. In general, the higher the intensity of playing online games, the more it affects the decrease in students' interest in learning. These findings can be an input for the campus and students in managing gaming activities so that they do not have a negative impact on academics.

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