- Classification of Healthy Family Indicators in Indonesia Based on a K-means Cluster Analysis
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Herti Maryani, Anissa Rizkianti, Nailul Izza
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J Prev Med Public Health. 2024;57(3):234-241. Published online May 5, 2024
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DOI: https://doi.org/10.3961/jpmph.23.497
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 Abstract
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- Objectives
Health development is a key element of national development. The goal of improving health development at the societal level will be readily achieved if it is directed from the smallest social unit, namely the family. This was the goal of the Healthy Indonesia Program with a Family Approach. The objective of the study was to analyze variables of family health indicators across all provinces in Indonesia to identify provincial disparities based on the status of healthy families.
Methods
This study examined secondary data for 2021 from the Indonesia Health Profile, provided by the Ministry of Health of the Republic of Indonesia, and from the 2021 welfare statistics by Statistics Indonesia (BPS). From these sources, we identified 10 variables for analysis using the k-means method, a non-hierarchical method of cluster analysis.
Results
The results of the cluster analysis of healthy family indicators yielded 5 clusters. In general, cluster 1 (Papua and West Papua Provinces) had the lowest average achievements for healthy family indicators, while cluster 5 (Jakarta Province) had the highest indicator scores.
Conclusions
In Indonesia, disparities in healthy family indicators persist. Nutrition, maternal health, and child health are among the indicators that require government attention.
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Summary
Key Message
This paper explores disparities in family health status across provinces using cluster analysis
with the K-means approach applied to 10 family health indicator variables. Secondary data
analysis was used from the 2021 Indonesian Health Profile and statistics on people’s welfare.
The study identified five distinct clusters, each with different characteristics. Papua and West
Papua demonstrate the lowest average level in terms of healthy family indicators, whereas DKI
Jakarta shows the greatest indicator level. To eliminate the disparities, the government should
prioritize the following indicators: maternal health, infant health, and nutrition.
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Citations
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