Spatial Mapping of Tubercolusis Vulnerability in Tuban District, Indonesia, Using Hierarchical Clustering

Tuberculosis (TB) has spread over the world and continues to be a serious public health concern. The high rate of finding cases of pulmonary TB in Tuban district requires an analysis to find out what actions and policies needed to reduce the number of cases of pulmonary TB disease. spatial analysis is an instrument for identifying areas where there is a risk of disease, so it is an important instrument for managing and planning health policies. This paper proposes a new approach to assess the level of susceptibility to tuberculosis in Tuban district using hierarchical clustering. The multi-criteria for vulnerability assessment consist of population density, number of patients, total number of TB cases, CNR of all TB cases, estimates of patients found and treated, and mortality during treatment. The TB susceptibility level as a result of the clustering of 20 sub-districts was mapped spatially-temporal in 2017-2019. Based on the results of the evaluation of the variance mapping of the 2017-2019 tuberculosis vulnerability level with single linkage, the average variance value is 0.23660, smaller than the average linkage of 0.29861 and the complete linkage of 0.30332. This shows that single linkage grouping is better than average linkage and complete linkage.