DOI: https://doi.org/10.14710/jmki.13.3.2025.%25p

CLUSTERING ANALYSIS AND HEALTHCARE FINANCING: A SECONDARY DATA STUDY OF BPJS KESEHATAN ON TUBERCULOSIS AND DIABETES MELLITUS IN INDONESIA

Dwi Noerjoedianto  -  Public Health Study Program, Faculty of Medicine and Health Sciences, Jambi University, Indonesia
*Annisa Putri S  -  Public Health Study Program, Faculty of Medicine and Health Sciences, Jambi University, Indonesia
Ainun Nazmi Hasibuan  -  Public Health Study Program, Faculty of Medicine and Health Sciences, Jambi University, Indonesia

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Abstract
The increasing burden of infectious diseases such as Tuberculosis (TB) and non-communicable diseases like Diabetes Mellitus (DM) places significant pressure on the National Health Insurance (JKN) financing system. This study aims to analyze the healthcare financing patterns of TB and DM using BPJS Kesehatan secondary data from 2022 through a clustering analysis approach. This quantitative study utilizes data from the BPJS Kesehatan Sample Data, covering 34 provinces in Indonesia. Data processing was performed using Stata 14.2 for case proportion calculations and RStudio for cluster analysis with the K-Means algorithm. The optimal number of clusters was determined using the Gap Statistic and Within-Cluster Sum of Squares (WCSS) methods. The results indicate a division into three regional clusters: a moderate burden cluster (Sumatra), a high burden cluster (Java), and a low burden cluster (other provinces).

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Keywords: BPJS Kesehatan, Tuberculosis, Diabetes Mellitus, Healthcare Financing

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