Analysis of Association Patterns Between Online Gambling Behavior and Divorce in Langkat Regency Using Data Mining
Using Apriori Data Mining Algorithm
DOI:
https://doi.org/10.59934/jaiea.v5i1.1634Keywords:
Online Gambling Divorce Data Mining Apriori Algorithm Langkat RegencyAbstract
This study aims to analyze the association patterns between online gambling behavior and the increase in divorce cases in Langkat Regency. The Apriori algorithm in data mining was employed to identify relationships between variables of online gambling behavior such as type of game, frequency, duration, and the amount of money spent, with divorce events. Data were collected through questionnaires distributed to affected respondents and processed using a Python-based bot system. The results indicate a significant correlation between the intensity of online gambling and the increase in divorce rates. The best association rule obtained a support value of 38% with a confidence level of 97.73%, showing that the more frequently a person engages in online gambling with higher spending, the greater the likelihood of divorce. These findings are expected to serve as a reference for local governments and relevant institutions in formulating policies to mitigate the negative impacts of online gambling.
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