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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang RAGAM: Journal of Statistics and Its Application
Muhammad Riefky
Universitas Sebelas Maret
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Public Health

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TRENDS IN THE FACTORS CAUSING DIVORCE IN SEMARANG RAYA IN 2023: A CORRESPONDENCE ANALYSIS APPROACH Muhammad Riefky; Firli Azizah; Andi Indra Jaya
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 13, No 1 (2025): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.13.1.2025.23-34

Abstract

An ideal marriage should be the foundation for a harmonious family relationship, yet many marriages end in divorce. This study aims to identify the trend patterns of divorce causes in Semarang Raya in 2023 using correspondence analysis. The research results show that the factors causing divorce vary by region. In Semarang Raya, economic factors dominate Grobogan Regency, while forced marriage factors are more frequently found in Kendal Regency. The analysis used Euclidean distance to reinforce the findings on the relationship between the factors causing divorce in each region. These findings can be used as a basis for designing more focused divorce prevention policies in accordance with the social and economic characteristics of each region.
A COMPARATIVE STUDY OF K-MEANS AND SINGLE LINKAGE FOR REGIONAL CLUSTERING IN WEST KALIMANTAN IN 2024 BASED ON EDUCATIONAL INDICATORS Ridho Alamsyah; Andina Putri Maharani; Dwi Vika Mutia; Sofiah Nur Alifah; Sofie Malika; Muhammad Riefky
RAGAM: Journal of Statistics & Its Application Vol 5, No 2 (2026): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v5i2.19477

Abstract

Education is a strategic investment in human resource development, as evidenced by several indicators, including the Average Years of Schooling (AYS), Expected Years of Schooling (EYS), Net Enrolment Rate (NER), and Gross Enrolment Ratio (GER). West Kalimantan Province faces the challenge of providing equal educational quality across regions. This issue has led to a low Human Development Index (HDI), ranking 30th of 34 provinces in Indonesia in 2024. These regional differences make it hard for the government to decide on the right policy actions. This study aims to group districts and cities in West Kalimantan based on their education quality indicators. It also compares the performance of two clustering methods, K-Means and Single Linkage, to find out which one produces the best results. The data used is secondary data from 2024, sourced from BPS West Kalimantan Province. The analysis included descriptive statistics, a data adequacy test, a multicollinearity test, and a cluster quality evaluation using the Elbow method based on Within-Cluster Sum of Squares (WCSS). At three clusters, K-Means produces a WCSS value of 26.6143, while Single Linkage produces a WCSS value of 33.7651. Therefore, K-Means with three clusters is selected as the optimal clustering method because it produces a lower WCSS value than Single Linkage. The K-Means clustering results consist of three groups with different characteristics based on the four education variables used in the study. These results can support local governments in formulating education policies tailored to the characteristics of each cluster.Keywords:   Clustering,  Education,  K-Means
Co-Authors Andi Indra Jaya Andina Putri Maharani Dwi Vika Mutia Firli Azizah Ridho Alamsyah Sofiah Nur Alifah Sofie Malika