Application of Data Mining to Discover Marriage Trends of Generation Z Using the Clustering Method at the South Binjai KUA Office
Year: 2026
Type: article
Abstract: Marriage data at the Office of Religious Affairs of South Binjai has so far been primarily used as administrative records, so the patterns and trends of Generation Z marriages have not been optimally identified. This study aims to analyze the characteristics of Generation Z marriages based on age, education, and occupation, as well as to apply the K-Means algorithm to group the data in order to identify marriage patterns. The method used is the K-Means algorithm through the Knowledge Discovery in Database (KDD) stages. The results show that 4 clusters are the optimal number based on the Elbow method, indicated by the elbow point at k = 4 from the decrease in Within-Cluster Sum of Squares (WCSS), with Cluster 1 consisting of 271 data points, Cluster 2 consisting of 28 data points, Cluster 3 consisting of 191 data points, and Cluster 4 consisting of 74 data points. Evaluation using the Davies-Bouldin Index resulted in a value of 0.779, indicating that the clustering process successfully formed four Generation Z marriage groups with different characteristics based on age, education, and occupation. These results are expected to provide an overview of Generation Z marriage characteristics and serve as a basis for KUA South Binjai in improving service quality and developing policies that are more responsive to the dynamics and needs of Generation Z.
Institution: STMIK Kaputama
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7224855700