Hierarchical clustering for crime rate mapping in Indonesia

The Sustainable Development Goals (SDGs) are a blueprint for improving the human life quality. Goal 16 (G16) is related to security, and it in line with Universal Declaration of Human Rights Preamble 1945 Constitution. To support implementation G16 achievement, Indonesian National Police (Polri) has made serious efforts provide sense safety community minimize crime rates. One that could be map areas based on level crimes so Polri can determine appropriate strategy/priority action mitigation. Therefore, this study aimed cluster provinces Indonesia four indicators SDGs namely number homicide cases, victim proportion, proportion people who feel safe walking alone area where they live, victims violence reported police past year using five hierarchical clustering methods, namely: Single-Linkage, Average-Linkage, Complete-Linkage, Ward, Division Analysis. Then, methods were validated compared six validations obtain most compact method. results showed Ward's method outperformed others produced three clusters. Clusters 1, 2, 3 contained 18, 5, 11 respectively.