Abstract
The prevalence of tuberculosis (TBC) in children tends to increase and become a serious public health problem. The higher case of TBC in children requires comprehensive surveillance. Surveillance can be carried out by clustering the cases of TBC in children based on region. One of the clustering methods that can be used is the K-Means method. Furthermore, Geographic Information Systems (GIS) has been successfully used in health fields and have the advantages in the processing and presentation of spatial and non-spatial information. The present research aims to classify the cases of TBC in children using K-Means clustering and identify the distribution patterns using GIS. Based on the analysis, the spatial pattern of the distribution of TBC in children can be categorized into: areas with high prevalence, areas with moderate prevalence, and areas with low prevalence. The result can be used to help decision making in controlling the cases of TBC in children.
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