<![CDATA[The planning of hydrometeorological disaster mitigation, water resource management, agriculture, and regional spatial planning is highly dependent on the weather. The diverse geographical conditions of North Sumatra can cause significant variations in rainfall patterns between regions. The objective of this research is to cluster rainfall patterns based on BMKG observation data in the North Sumatra region. This is done using the hierarchical cluster analysis method. The stages of data preprocessing, standardisation, distance measurement between objects, dendrogram formation, and determination of the number of clusters are used to analyse rainfall data to systematically identify the similarities in rainfall characteristics between observation stations. The clustering results show that areas are grouped based on similar rainfall patterns, with each cluster representing different levels of rainfall. These results can help us understand the distribution of rainfall in North Sumatra and assist in making decisions about climatology, disaster mitigation, and regional planning. This study shows that hierarchical cluster analysis can be used as an analytical method to accurately group rainfall patterns based on meteorological observation data.]]>
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