Classification of Healthy Family Indicators in Indonesia Based on a K-means Cluster Analysis
- Author:
Herti MARYANI
1
;
Anissa RIZKIANTI
;
Nailul IZZA
Author Information
- Publication Type:Original Article
- From:Journal of Preventive Medicine and Public Health 2024;57(3):234-241
- CountryRepublic of Korea
- Language:EN
-
Abstract:
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.
