Analyzing the Distribution of Health Workers in Semarang City Using K-Means Clustering Method

This research employed the K-Means Clustering method to examine the distribution of health workers in Semarang City, emphasizing their pivotal role in the public health infrastructure. Leveraging current data encompassing health worker locations and quantities, the clustering analysis discerned area...

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Bibliographic Details
Main Authors: Akhfan Setiyaji, Hindriyanto Dwi Purnomo
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2024-03-01
Series:Journal of Information Systems and Informatics
Subjects:
Online Access:https://journal-isi.org/index.php/isi/article/view/663