Article Per Year (5 Year)
p-Index From 2021 - 2026
1.704
P-Index
This Author published in this journals
All Journal Singuda ENSIKOM Journal of Computer System and Informatics (JoSYC) Jurnal Pengabdian Masyarakat IPTEK Journal of Artificial Intelligence and Engineering Applications (JAIEA) Ulead : Jurnal E-pengabdian Jurnal Pengabdian Pada Masyarakat METHABDI Journal Of Artificial Intelligence And Software Engineering Repeater: Publikasi Teknik Informatika dan Jaringan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Sistem Informasi dan Ilmu Komputer
Ratih Puspadini
STMIK Kaputama
Religion Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Analysis of Age Patterns and Factors Causing Marriage Dispensation Using the K-Means Algorithm (Case Study: Stabat Religious Court) Della Yulia Citra; Achmad Fauzi; Ratih Puspadini
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 6 No. 1 (2026): October 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v6i1.2774

Abstract

The Stabat Religious Court faces challenges in grouping the annual data on marriage dispensation applications. This data has not been optimally utilized to generate information that can support decision-making in understanding age patterns, causal factors, and areas of residence with the highest application rates. This study aims to analyze age patterns and causal factors of marriage dispensation using data mining methods with the K-Means Cluster algorithm. Determining the optimal number of clusters was carried out using the Elbow method through analysis of the Sum Of Squared Error (SEE) value, which indicated the optimal number of clusters was 3 clusters. A total of 749 marriage dispensation application data from 2021–2025 were analyzed using the Knowledge Discovery in Database (KDD) stages, which include data selection, data preprocessing, transformation, data mining (cluster), and evaluation with the help of MATLAB. The variables used in this study include the applicant's age, the reason for the marriage dispensation application, and the applicant's area of ​​residence. The results of this study indicate that the k-means algorithm using the elbow method is capable of systematically grouping marriage dispensation data based on similar characteristics. The clustering results provide information on age patterns, causal factors, and domiciles of marriage dispensation applicants, thus providing recommendations for stabat religious courts in formulating policies and efforts to prevent early marriage.
Co-Authors Achmad Faris Fadhlulah Ade Chairany Ahri Bariun Ambarita, Indah Annatasia, Kristina Arliana, Lina Arnes Sembiring Buaton, Relita Della Yulia Citra Desy Fatmalia Putri Fatmaira, Zira Fauzi Ahmad Muda Fauzi, Achmad Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Gultom, Imeldawaty Khair, Husnul Marto Sihombing Melda Pita Uli Sitompul Muammar Khadafi Murti, Maliyah Novriyenni Novriyenni Novriyenni, Novriyenni Nur Arminarahmah Nurhayati Nurhayati Pasaribu, Tioria Pramana, I Gusti Rahmadani Rahmadani Rusmin Saragih, Rusmin Saifuddin Muhammad Jalil Selfira, Selfira Seri Arihta Br Sitepu Sihombing, Anton Simanjuntak, Magdalena Siswan Syahputra Syahputra, Siswan Wanto, Anjar Yani Maulita