Family Economic Correlation To Students Learning Achievment Using Apriori Method


  • Nurhayati Program of Technical Information, STMIK Kaputama
  • Juliana Naftali Sitompul Program of Technical Information, STMIK Kaputama
  • Tri Kartika Sari Program of Technical Information, STMIK Kaputama


Apriori Algorithm, Association Rule, Correlation, Minsupport, Min Confidence


The education system in Indonesia as mandated in the GBHN aims to educate the nation while at the same time responding to new challenges to create a decent and prosperous life. Understanding, apprecation, and experience of cultural and religious values in the right and true form will be increasingly needed. The economic status of the family is one of the factors that is sufficient to support the level of continuing education, especially for teenagers who are still student in school. Apriori method is used to obtain association rules that describe the relationship between item in the transactional database. There are two databases used, each of which has a different number of transactions. This study aims to aplly the apriori algorithm, as an analytical technique. The data taken as a case example is familiy economic data. This association search uses WEKA which will later find the rules and MySQL as the placeholder for the Database. From the results of the analysis using apriori, the highest confidence value was obtained at 0.9 with support 0.1 resulting in a students rule whose economics supported the learning achievement was very supportive, and the lowest confidence value of 0.2 with support 0.1 resulted in a students rule who had sufficient economics, so their learning achievement was also quite increased..


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How to Cite

Nurhayati, Sitompul, J. N. ., & Sari, T. K. . (2021). Family Economic Correlation To Students Learning Achievment Using Apriori Method . Journal of Artificial Intelligence and Engineering Applications (JAIEA), 1(1), 60–65. Retrieved from