| dc.description.abstract | The degree of public health is a picture of the health conditions that occur in general in the community. The degree of public refers to the level of health and wellbeing attained by individuals in a population. The Ministry of Health's strategic goals for 2020-2024 emphasize the improvement of public health levels, specifically using a life-cycle strategy. This study aims to discuss the implementation of k-means cluster analysis in assessing the degree of public health. Cluster analysis is a technique used to group objects based on their similarities. The purpose of this study is to classify districts/cities in North Sumatra Province based on indicators of public health status. The variables analyzed include life expectancy, maternal mortality rate (MMR), infant mortality rate (IMR), stunting prevalence among children under five, and morbidity rate. This research employs a descriptive quantitative method using secondary data obtained from the North Sumatra Provincial Health Office. The analysis results show that the 33 districts/cities in North Sumatra can be grouped into three clusters. The first cluster, categorized as moderate, consists of 10 regions: Nias, Tapanuli Tengah, Nias Selatan, Serdang Bedagai, Batubara, Labuhanbatu Selatan, Nias Utara, Nias Barat, Sibolga, Gunungsitoli. The second cluster, categorized as high, includes 7 regions: Asahan, Simalungun, Deli Serdang, Langkat, Labuhanbatu Utara, Pematang Siantar, Medan. The third cluster, categorized as low, includes 16 regions: Mandailing Natal, Tapanuli Selatan, Tapanuli Utara, Toba, Labuhanbatu, Dairi, Karo, Humbang Hasundutan, Pakpak Barat, Samosir, Padang Lawas Utara, Padang Lawas, Tanjung Balai, Tebing Tinggi, dan Padangsidimpuan. Regional governments are advised to develop health programs tailored to the classification level of each area in order to improve public health outcomes. | en_US |
