Analysis of the Relationship Pattern Between Extracurricular Participation and Student Attendance Towards Academic Achievement using the Apriori Algorithm (Case Study: SMAS Harapan Hamparan Perak)

Authors

  • Najwa Salsabila Damanik Department of Information Systems, STMIK Kaputama, Binjai, Indonesia.
  • Marto Sihombing STMIK Kaputama
  • Kristina Annatasia Br Sitepu STMIK Kaputama

DOI:

https://doi.org/10.59934/jaiea.v6i1.2661

Keywords:

Data Mining, Apriori Algorithm, Extracurricular, Student Attendance, Academic Achievement

Abstract

Student development evaluation at Harapan Hamparan Perak Senior High School has been conducted manually without systematic pattern analysis. This study analyzes the relationship patterns between extracurricular participation, attendance levels, and academic achievement using the Apriori algorithm. Data from 545 students in grades X, XI, and XII were processed using WEKA 3.8.6 with a minimum support of 0.2 and minimum confidence of 0.6. The results produced two main association rules: High Achievement → High Attendance (confidence 74%) and High Attendance → High Achievement (confidence 70%), proving a strong reciprocal relationship between attendance discipline and academic achievement. Meanwhile, extracurricular variables did not appear as a dominant pattern

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References

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Published

2026-10-15

How to Cite

Damanik, N. S., Marto Sihombing, & Kristina Annatasia Br Sitepu. (2026). Analysis of the Relationship Pattern Between Extracurricular Participation and Student Attendance Towards Academic Achievement using the Apriori Algorithm (Case Study: SMAS Harapan Hamparan Perak). Journal of Artificial Intelligence and Engineering Applications (JAIEA), 6(1), 160–164. https://doi.org/10.59934/jaiea.v6i1.2661