CLUSTERIZATION OF DISTRICTS AND CITIES IN JAMBI PROVINCE BASED ON PUBLIC HEALTH INDICATORS USING THE K-MEANS METHOD

Authors

  • Nayla Desviona Universitas Muhammadiyah Jambi
  • Marwah Masruroh Politeknik Negeri Jakarta
  • Rifki Chandra Utama Institut Teknologi dan Bisnis Muhammadiyah Purbalingga

DOI:

https://doi.org/10.31943/mathline.v10i2.857

Keywords:

Cluster, Health, K-means Method

Abstract

Health is an important foundation for Indonesia, and public health is critical to improving the quality of human resources, overcoming poverty, and supporting development. In 2022, the morbidity rate in Jambi Province reached 12.11%, higher than the previous year which was only 7.16%. The morbidity rate of the people of Jambi Province in 2022 increased by around 5% compared to last year. Based on the data on the morbidity rate of the people of Jambi Province above, it can be seen that the health condition of the people of Jambi Province has decreased compared to the previous year. By using the k-means method, this study aims to group the districts and cities of Jambi Province based on their health indicators as an effort to prevent a decline in health status in the coming years. As an effort to set priorities in improving public health in Jambi Province. The research resulted in three health clusters based on health indicator data. Cluster 1, which contains Sungai Penuh City, is at a high level, meaning that health conditions in the city are very good compared to other cities. Cluster 2, which consists of West Tanjung Jabung Regency and Jambi City, is at a medium level, meaning that health conditions in this city are quite good compared to other cities. Cluster 3 Kerinci, Merangin, Sarolangun, Batanghari, East Tanjung Jabung, Tebo, and Bungo are at the lowest level, meaning that health conditions in this cluster are poor and require more attention.

Downloads

Download data is not yet available.

Downloads

Published

2025-06-07

How to Cite

Desviona, N., Masruroh, M., & Utama, R. C. (2025). CLUSTERIZATION OF DISTRICTS AND CITIES IN JAMBI PROVINCE BASED ON PUBLIC HEALTH INDICATORS USING THE K-MEANS METHOD. Mathline : Jurnal Matematika Dan Pendidikan Matematika, 10(2), 361–371. https://doi.org/10.31943/mathline.v10i2.857