Application of the Apriori Algorithm to Analyze the Correlation of Underage Marriage Factors

Authors

  • Rizki Tri Ipanda STMIK KAPUTAMA
  • A M H Pardede STMIK KAPUTAMA
  • Melda Pita Uli Sitompul STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v4i1.632

Keywords:

data mining, apriori algorithm, underage marriege, association rule, correlation analysis

Abstract

This study aims to analyze the correlation between various factors contributing to underage marriage in Kota Binjai. The primary variables influencing underage marriage include economic, social, cultural, parental, and educational factors. These five variables are considered significant in the prevalence of underage marriage within the Kota Binjai community. The methodology employed involves data mining techniques using the Apriori algorithm to identify the most frequently occurring data correlations. The analysis reveals that the best rule with 2 itemsets has a support of 42.7% and a confidence of 69.6%, while the best rule with 3 itemsets has a support of 26.7% and a confidence of 71.4%. For 4 itemsets, the support is 12% with a confidence of 50%. These findings indicate that economic factors are the most frequently appearing and consistently influential in the decision of Kota Binjai residents to engage in underage marriage, both independently and in combination with social, cultural, and parental influence factors

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References

Buaton, R., Mawengkang, H., Zarlis, M., Effendi, S., Pardede, A., Maulita, Y., Fauzi, A., Novriyenni, N., Sihombing, A., & Lumbanbatu, K. (2019). Optimisasi pohon keputusan dalam penambangan data dengan dukungan dan kepercayaan. Journal of Physics: Conference Series, 1255, 012056.

Mubasyaroh, M. (2016). ANALISIS FAKTOR PENYEBAB PERNIKAHAN DINI DAN DAMPAKNYA BAGI PELAKUNYA.

Rahmayuni, S. (2019). Penerapan algoritma apriori pada data perceraian untuk mengetahui faktor-faktor penyebab perceraian (Tugas akhir, Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau). Pekanbaru.

Rika, Y., Eviliyanto, E., & Dian Equanti, D. (2023). Analisis Faktor-Faktor Penyebab Pernikahan Usia Dini (Studi Kasus di Desa Belaban, Kecamatan Marau, Kabupaten Ketapang). Geo Khatulistiwa: Jurnal Pendidikan Geografi dan Pariwisata, 3(3), 1-10. ISSN: 2808-2974.

Risdianti, R., Nasution, A. K., Oktaviandi, R., & Bu’ulolo, E. (2021). Penerapan Algoritma Apriori Untuk Mengetahui Pola Jenis Kejahatan Yang Sering Terjadi (Studi Kasus: Polsek Percut Sei Tuan). Seminar Nasional Sains dan Teknologi Informasi (SENSASI), 117-120. ISBN: 978-623-93614-6-4

Rahmatiah HL, H. (2016). Studi kasus perkawinan di bawah umur. Jurnal Al-Daulah, 5(1), 1-14. Fakultas Syariah dan Hukum, Universitas Islam Negeri (UIN) Alauddin Makassar

Sitanggang, D., Br S. Muham, N. A., Rangkuti, S. H., Zalukhu, S. P., & Indra, E. (2022). Penerapan data mining untuk rekomendasi paket pernikahan menggunakan algoritma Apriori. Jurnal TEKINKOM, 5(1), 130

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Published

2024-10-15

How to Cite

Rizki Tri Ipanda, A M H Pardede, & Melda Pita Uli Sitompul. (2024). Application of the Apriori Algorithm to Analyze the Correlation of Underage Marriage Factors. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(1), 332–338. https://doi.org/10.59934/jaiea.v4i1.632