METODE DATA MINING UNTUK MENGETAHUI TINGKAT KESETIAAN KONSUMEN TERHADAP MEREK KENDARAAN BERMOTOR (BRAND LOYALTY) DAN POLA KECELAKAAN LALU LINTAS DI DAERAH ISTIMEWA YOGYAKARTA
The data of vehicle sales and traffic accident can be processed into information that is important for vehicle dealers and the Police Department. Those important information researched are the level of consumer loyalty to the vehicle brands and to predict the vehicle�s brands that will be purchase...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2011
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| Summary: | The data of vehicle sales and traffic accident can be processed into
information that is important for vehicle dealers and the Police Department. Those
important information researched are the level of consumer loyalty to the vehicle
brands and to predict the vehicle�s brands that will be purchased by a consumer.
The study also tries 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 called �rule based
classification� to establish the sales of vehicles rules by which can be used to
classify consumer into group level of brand loyalty and also estimate the brand of
the next vehicle�s brand that will be purchased by the consumer. This research
will 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 companies or vehicle dealers to obtain information
about the level of the consumer�s brand loyalty to the dealer�s brand and to predict
the brand that the consumer would be buy for the next vehicle. The result can also
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. |
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