Abstract
Equalizing the development of health infrastructure is one way to improve the Human Development Index (HDI). A high HDI indicates the successful improvement of societal well-being in a region. This research discusses the utilization of the k-means algorithm to cluster sub-districts in Wonogiri Regency based on the similarity of health infrastructure using five metrics: the number of general hospitals, inpatient community health centers, outpatient community health centers, private clinics, and integrated health posts (posyandu). Three clusters were identified based on the distribution of health infrastructure: Cluster 1 consists of the following sub-districts: Paranggupito, Giritontro, Batuwarno, Karangtengah, Wuryantoro, Manyaran, Ngadirojo, Sidoharjo, Jatiroto, Bulukerto, Puhpelem, Slogohimo, Jatisrono, and Jatipurno. Cluster 2 consists of the following sub-districts: Giriwoyo, Tirtomoyo, Nguntoronadi, Eromoko, Kismantoro, Purwantoro, and Girimarto. Cluster 3 consists of the following sub-districts: Pracimantoro, Baturetno, Selogiri, and Wonogiri. By analyzing the distribution of health infrastructure, significant differences were observed among the clusters. In enhancing the HDI of Wonogiri Regency, the findings of this research can be utilized for government program planning to promote equitable development of health infrastructure.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
