Dataset and Clustering Procedures of Infant Immunization Coverage in Ponorogo Regency (2022–2023)

This repository contains the dataset and clustering procedures used in the study “Implementation of K-Means Algorithm Based on Infant Immunization in Ponorogo Regency”. The purpose of this dataset is to support data mining analysis on immunization coverage and to enable replication of the clustering results. The files included are: Infant_Immunization_Dataset.csv – Raw dataset containing immunization coverage data across 21 sub-districts in Ponorogo Regency, including attributes such as BCG, Polio, DPT-HB-Hib, and Measles-Rubella. Clustering_Procedures_2022.ipynb – Python code implementing the K-Means clustering algorithm for the 2022 dataset. Clustering_Procedures_2023.ipynb – Python code implementing the K-Means clustering algorithm for the 2023 dataset. The dataset was obtained from the official publication Profil Kesehatan Kabupaten Ponorogo by the Ponorogo District Health Office. All files are provided for educational and research purposes and may be reused under the stated license.