Metode Asosiasi Data Mining Untuk Analisa Persediaan Fiber Optik Menggunakan Algoritma Apriori

PT. Bahana Arta Nusantara is a telecommunications contractor company. The need for fiber optic goods is increasing, cause difficulty to see itemset patterns that often come out together. Besides that, PT. Bahana Arta Nusantara also has difficulty maximizing data on goods expenditure because the data is only stored without a more detailed analysis. The purpose of this study was to determine the pattern of outgoing goods data that often came out at the same time using the Apriori Algorithm (Association Rule). The determination of this association is done by determining the binary representation of the optical goods expenditure data, looking for the value of the two itemsets combination pattern, the three itemsets combination pattern and then the final calculation of the association rules to determine the maximum and objective results, so that the results of this pattern the company can provide goods are often out together, and not following the stock event.