Penentuan Pola Pembunuhan Di Nusa Tenggara Barat Menggunakan Association Rules Algoritma Apriori
Keywords:
Knowledge discovery in database, data mining, murderAbstract
Murder is a crime that results in the loss of another person’s life due to certain reasons, the incident was planned or not planned. Murder cases are only in news cases about chronological events, so no new knowledge is gained. This study aims ti determine the patterns of murder that occurred in West Nusa Tenggara using the Knowledge Discovery in Database (KDD) technique which includes data mining. The data mining technique used was the a priori algorithm rules association method using data obtained from the NTB Regional Police and other integrated sources. The results show that the pattern of murder that occurs was if there was a murder of women with sharp object, then the motive for the number must be jealously which had a relationship with the perpetrator, then the perpetrator was the opposite sex. With a confidence value (level of confidence level) of 100% that the rule was sure to happen. This research was used by parties involved in making decisions in the future.
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