ANALISA ASOSIATIF DATA MINING UNTUK MENGETAHUI POLA KECELAKAAN LALU LINTAS

• Main Author: Agus Sasmito Aribowo
• Format: Article
• Language: Indonesian
• Published: Universitas Pembangunan Nasional "Veteran" Yogyakarta 2015-04-01
• Series: Telematika
• Subjects: rule based classification, apriori, brand loyalty, traffic accident
• Online Access: http://fajar.upnyk.ac.id/index.php/telematika/article/view/458

The data of traffic accident can be processed into information that is important for Police Department. Those important information researched is to analyze the traffic accident data to find out is there any link between the occurrence of an accident to a certain brand of vehicle. This research implementing data mining method to process the data traffic accident by using data mining techniques called Apriori Method. Apriori Method is used to identify a pattern of accidents based on brand, type of vehicles, and the vehicle’s color. The results are used to estimate whether there is any correlation between the occurrences of a traffic accident to a particular brand. The result can help the Police Department to find out whether there is any correlation between the occurrence of traffic accidents to the brand, type and the color of vehicle.