PDF

Feasibility Analysis of Education in Indonesian Provinces: A Machine Learning Clustering Approach for Regional Classification

Heribertus Yulianton, Rina Candra Noor Santi, Felix Andreas Sutanto

2026eneducation feasibilityregional disparitiesIndonesiamachine learningclusteringeducation policy

Abstract

Language:

Education system feasibility varies significantly across Indonesian provinces due to geographic, socioeconomic, and infrastructural disparities. This study applies unsupervised machine learning clustering algorithms (K-Means, Hierarchical Clustering, Gaussian Mixture Models, and Self-Organizing Maps) to classify Indonesian provinces into homogeneous groups based on education feasibility indicators. Using 39 provinces and special territories, we evaluated clustering quality through internal validation metrics (Silhouette coefficient and Davies-Bouldin index) and inter-algorithm agreement measures (Adjusted Rand Index and Normalized Mutual Information). Results demonstrate that Hierarchical Clustering achieves the best Davies-Bouldin index (0.782), while K-Means and GMM produce identical partitions (ARI = 1.0, NMI = 1.0). Self-Organizing Maps identified nine distinct regional education feasibility profiles, with provincial distributions revealing significant heterogeneity in education conditions. These findings provide a quantitative framework for targeted policy interventions and resource allocation to improve education feasibility across Indonesia’s diverse regions.

Download

Cite This Work

@article{6c4d0e5c-fdf7-4686-b7ce-75b447307ad5,
  title={Feasibility Analysis of Education in Indonesian Provinces: A Machine  Learning Clustering Approach for Regional Classification },
  author={Heribertus Yulianton and Rina Candra Noor Santi and Felix Andreas Sutanto},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Feasibility Analysis of Education in Indonesian Provinces: A Machine  Learning Clustering Approach for Regional Classification 
AU  - Heribertus Yulianton
AU  - Rina Candra Noor Santi
AU  - Felix Andreas Sutanto
PY  - 2026
LA  - en
ER  -

Similar Items

The Risk Factors Environment and Behavior Influence Diarrhea Incidence to Child in Abepura Hospital Jayapura City

Irawati Magdalena, A.L. Rantetampang, Arry Pongtiku, Anwar Mallongi

Background: The incidence of diarrhea in children under five is still high in the world, including in Indonesia, which if experiencing delays causes d

2019enPDF

Effect of Roasting Temperature for Copper Leaching of Sulfide Concentrate by Combined Methods

Introduction Concerns over air pollution and the environmental problem of acid rain have made governments all over the world tighten their regulations

2023enPDF

Equation Driven Design and Validation of a Reverberatory Furnace for Non ferrous Metals

Roger Rumbu check

2025enPDF$30.00

Extraction of copper and the co-leaching behaviour of other metals from waste printed circuit boards using alkaline glycine solutions

Huan Li, Elsayed Oraby, Jacques Eksteen

Waste printed circuit boards (WPCBs) are a complicated and valuable fraction of electric and electronic waste. The recycling of them is critical to av

2025enPDF

Recovery of valuable metals from mining and mineral processing waste

Roger Rumbu

2025enPDF

A solid battery electrolyte with high performance

PNAS Nexus

This article reports the design and characterization of a high-performance, truly solid polymer electrolyte for lithium-based batteries, addressing lo

2023enPDF