IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA APRIORI UNTUK MENENTUKAN ATURAN ASOSIASI PADA PENJUALAN SUKU CADANG SEPEDA MOTOR
DI PT.AHASS AGUNG MOTOR MALANG
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Institusion
Universitas Muhammadiyah Gresik
Author
HANDAYANI, POEPY TRI
Subject
Informatics Engineering
Datestamp
2019-08-09 02:33:30
Abstract :
PT. Ahass Agung Motor is a consumer automotive company that includes consumer automotive parts and motorized vehicle services. Spare parts are an important part of supply chain management. Sales are one of the important factors in supporting operational sustainability at PT. Ahass Agung Motor. For that we need a system that can help determine consumer purchasing patterns. By using the sales transaction data, this system can be used as the right solution to increase the speed of the process of determining Frequent Itemset, Forming 3 itemset of 2 itemset, calculating the value of support and confidence and forming the association rules of 2-itemset and 3-itemset. Based on the table of analysis of sales transaction data in 2017, there is a rule that has the highest support level in each period from three tests with the rule 3 itemset is {Dop kfv, Kampas kph} ? {Kampas kzl} while the highest rule 2 itemset is {Pad set kwb 601} ? {Pad set kvb T-01} which has a positive correlation or relationship with a correlation value ? 1.
PT. Ahass Agung Motor is a consumer automotive company that includes consumer automotive parts and motorized vehicle services. Spare parts are an important part of supply chain management. Sales are one of the important factors in supporting operational sustainability at PT. Ahass Agung Motor. For that we need a system that can help determine consumer purchasing patterns. By using the sales transaction data, this system can be used as the right solution to increase the speed of the process of determining Frequent Itemset, Forming 3 itemset of 2 itemset, calculating the value of support and confidence and forming the association rules of 2-itemset and 3-itemset. Based on the table of analysis of sales transaction data in 2017, there is a rule that has the highest support level in each period from three tests with the rule 3 itemset is {Dop kfv, Kampas kph} ? {Kampas kzl} while the highest rule 2 itemset is {Pad set kwb 601} ? {Pad set kvb T-01} which has a positive correlation or relationship with a correlation value ? 1.
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