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All Journal PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Indonesian Journal of Statistics and Its Applications
Robiati, Silfi
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Computer Science & IT Mathematics Other

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Comparison of K-Means and K-Medoids in Clustering Regency/City in West Sumatra Province Based on Environmental Indicators Robiati, Silfi; Fitria, Dina; Vionanda, Dodi; Sulistiowati, Dwi
Indonesian Journal of Statistics and Applications Vol 8 No 2 (2024)
Publisher : Statistics and Data Science Program Study, IPB University, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v8i2p191-201

Abstract

The Environmental Quality Index is an index that describes the condition of environmental management results nationally, and generalises from all regencies/cities and provinces in Indonesia. Although the Environmental Quality Index of West Sumatra Province has increased, there are still regencies/cities in West Sumatra Province have decreasing Environmental Quality Index. Therefore, it is necessary to conduct further analysis, one of which is to form a group of regencies/cities into a group according to their similarities or characteristics. This study aims to compare the K-Means and K-Medoids methods in grouping regencies/cities in West Sumatra Province based on environmental quality indicators in 2023. The data used in this research is secondary data, which is orginally the publication of Central Bureau of Statistics namely Sumatera Barat Dalam Angka in 2024. The research compares the K-Means cluster method and the K-Medoids cluster method. It concludes K-Means better than K-Medoids methods based on DB index with three clusters. First cluster has 12 regencies/cities with a high average air quality index, the second cluster has 6 regencies/cities that have small amounts of waste, and the third cluster has 1 city with a high average water quality index and land quality index, but a large amount of waste.   Keywords: Cluster, Comparison, Environmental, K-Means, K-Medoids
Application of K-Medoids for Regional Classification Based on Quality, Access, and Governance of Education in Indonesia Robiati, Silfi; Hakim, Abdul; Dharmawan, Goldy; Khotimah, Chusnul
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.682

Abstract

Education is a fundamental foundation for individuals, yet substantial disparities persist across Indonesia, including both 3T (Disadvantaged, Frontier, and Outermost) and non3T regions. Addressing the limited research on systematic regional mapping based on education indicators, this study analyzes 514 regencies/cities at the senior secondary level using 13 indicators covering three latent dimensions identified through Factor Analysis: education quality, quality of the learning process, and governance and educational participation. Data were processed through outlier detection, standardization, dimensionality reduction using Principal Component Analysis, factor score extraction, and K-Medoids clustering in RStudio. The optimal solution with three clusters was validated with a Davies–Bouldin Index of 1.44, confirming its effectiveness in capturing regional variation. Results reveal distinct spatial patterns in educational characteristics, where some 3T regions perform comparably to non-3T areas, while certain remote regions face challenges across all dimensions. These findings provide a basis for targeted, cluster-based policy interventions to improve education quality, expand access, and strengthen governance, supporting equitable educational development nationwide. The study demonstrates the utility of combining dimensionality reduction and clustering for evidencebased policy planning and highlights the importance of addressing regional disparities in education.
Co-Authors Abdul Hakim Chusnul Khotimah Dharmawan, Goldy Dina Fitria, Dina Dodi Vionanda Dwi Sulistiowati, Dwi