<![CDATA[Rapid urbanization has intensified the Urban Heat Island (UHI) phenomenon in megapolitan areas. DKI Jakarta, one of the world’s most densely populated megacities, faces increasing thermal pressure due to extensive impervious surfaces and limited green space. This study aims to classify areas in DKI Jakarta based on similarities in Land Surface Temperature (LST) patterns and evaluate clustering performance in explaining UHI dynamics. MODIS-derived LST data from 2009 to 2024 were analyzed using K-Means with Euclidean distance, Dynamic Time Warping (DTW), and K-Shape. Cluster quality was evaluated using WCSS, Silhouette Score, Davies-Bouldin Index, and Dunn Index. K-Means with Euclidean distance and four clusters produced the best performance. The resulting clusters represented different urbanization-related thermal characteristics, with central and northern Jakarta exhibiting the highest LST. Surface UHI analysis showed that 91.9% of urban areas experienced moderate to extreme intensity, indicating that urban densification is a major driver of increasing surface temperatures.]]>
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