Analysis of Association Patterns Between Online Gambling Behavior and Divorce in Langkat Regency Using Data Mining

Using Apriori Data Mining Algorithm

Authors

  • Amin Rezkita Ginting STMIK KAPUTAMA
  • Novriyenni STMIK KAPUTAMA
  • Husnul Khair STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v5i1.1634

Keywords:

Online Gambling Divorce Data Mining Apriori Algorithm Langkat Regency

Abstract

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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Published

2025-10-15

How to Cite

Amin Rezkita Ginting, Novriyenni, & Husnul Khair. (2025). Analysis of Association Patterns Between Online Gambling Behavior and Divorce in Langkat Regency Using Data Mining: Using Apriori Data Mining Algorithm. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(1), 1397–1403. https://doi.org/10.59934/jaiea.v5i1.1634