PT. BuanaSakti
Aneka Motor is one of the car distributor agents located at warung buncit raya
street No. 109 Duren Tiga, South Jakarta. Everyday the data piles is increase
more and longer. PT. BuanaSakti Aneka Motor sometimes has difficulty to knowing
how many spare parts occur in one transaction, so data or new stock information
is difficult to find sometimes experiencing errors. To find out which products
have the most sales and how they relate to one another, a priori algorithm
method and the help of Rapidminer Tools are needed to produce associative
rules. From the results of the discussion and analysis of the data it can be
concluded that the application of a priori algorithm in determining the
combination of itemset with a minimum support of 25% and a minimum of 60%
confidence found 3 association rules, where the highest value of support and
confidence is a radiator with a minimum stop lamp support of 26.92% while the
minimum confidence is 64.65% and the oil filter with the minimum stop light
support is 35.32% while the minimum confidence is 61.58%, while lampu stop with
head lamp minimum support 27,27% and minimum confidence 69,03%.
Algoritma Apriori Sebagai Solusi Kontrol Persediaan Suku Cadang Mobil PT. Buanasakti Aneka Motor Jakarta
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