<![CDATA[Mapping regional health conditions is crucial for identifying disparities in healthcare services and determining priority interventions. West Nusa Tenggara Province faces persistent challenges, including the unequal distribution of healthcare facilities and a steady increase in infectious disease cases. This study aims to classify regencies/municipalities based on healthcare facility availability and infectious disease prevalence using the Fuzzy Possibilistic C-Means (FPCM) method. The variables analyzed include the number of community health centers, hospitals, and reported cases of tuberculosis, HIV/AIDS, dengue fever, and diarrhea. Cluster validity was assessed using Partition Entropy (PE), Partition Coefficient (PC), and Modified Partition Coefficient (MPC), with the optimal configuration achieved at two clusters (PE = 0.6125, PC = 0.9799, MPC = 0.9698). The cluster profiles indicate that Cluster 1 comprises areas with limited healthcare facilities and high infectious disease prevalence, Cluster 2 includes areas with extensive healthcare facilities and relatively low disease prevalence, and Cluster 3 contains regions with adequate healthcare facilities yet facing a considerable disease burden. These findings underscore the importance of data-driven approaches in guiding targeted and responsive health intervention strategies tailored to the specific needs of each region in West Nusa Tenggara]]>
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