Open AccessPengelompokan Data Kriminal Pada Poldasu Menentukan Pola Daerah Rawan Tindak Kriminal Menggunakan Data Mining Algoritma K-Means Clustering
Author(s) -
Lilis Suriani
Publication year - 2020
Publication title -
jurnal sistem komputer dan informatika (json)
Language(s) - English
Resource type - Journals
ISSN - 2685-998X
DOI - 10.30865/json.v1i2.1955
Subject(s) - law enforcement , indonesian , cluster analysis , state (computer science) , criminology , law , computer science , sociology , business , political science , artificial intelligence , algorithm , philosophy , linguistics
Crime is all forms of actions and actions that are economically and psychologically harmful that violate the applicable laws in the Indonesian state and social and religious norms. Can be interpreted that, crime is anything that violates the law and violates social norms, so that the public opposes it. This study aims to facilitate and assist law enforcement authorities in anticipating criminal acts in vulnerable areas. The method used in this research is the k-means algorithm method using rapidminer 7.3 software. Where the grouping is done to determine the level of vulnerable areas. The establishment of this system is expected to assist the police in determining areas prone to crime. And from the results of the study stated groups of areas prone to criminal acts, namely MEDAN POLRESTA and LABUHAN BATU POLRES.