The development of construction in Indonesia is increasing rapidly, therefore building materials are needed to be used in building a construction. Every building materials store must have a transaction system and an inventory system. Whether it's an efficient or less efficient inventory system. For this reason, this research was conducted to help the owner or manager of a building shop to more easily determine the combination pattern of supplies and purchases of building goods. The a priori algorithm is used in this study because the a priori algorithm is suitable in connecting the itemset combination patterns. Therefore the a priori algorithm is suitable in determining the purchase combination pattern in order to get a good inventory system. And from the process carried out, a confidence value of 75% was obtained, not only that this research was also assisted by a priori algorithm supporting application, namely the Tanagra application.
CITATION STYLE
Syahara, Z., Adiha, R. N., & Windarto, A. P. (2021). Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Bahan Bangunan Di Karang Sari. Brahmana : Jurnal Penerapan Kecerdasan Buatan, 2(2), 107–115. https://doi.org/10.30645/brahmana.v2i2.72
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