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Sexual violence against children is one of the most troubling problems in the community, especially in Pekanbaru. The more cases of acts of sexual violence against children, it is necessary to find a solution and a new knowledge to overcome this problem by exploring case data along with the characteristics of violence, age range and trigger factors using the KMeans algorithm to produce cluster patterns based on the proximity of criteria variable. The technique used in data mining applications is the Clustering technique with the K-Means algorithm. This K-Means algorithm performs an iterative process to produce group patterns based on similar criteria proximity. This technique helps analyze data on cases of sexual violence against children totaling 335 case data. Through these data, there are 3 clusters of results. The cluster that dominates is cluster 1, with the criteria for the types of sexual abuse sexual abuse for children in the age range of 3 to 16 years with the greatest trigger factor is opportunity.”

Klasterisasi karakteristik kekerasan seksual terhadap anak dengan metode k-means cluster analysis