IMPLEMENTASI ALGORITMA APRIORI DALAM MENENTUKAN POLA PEMBELI CUSTOMER

Hendra Gunawan, Efori Bu'ulolo
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Abstract

CV. Syahfira Bakery and Cake is a business engaged in the production of cakes, pastries and bread. The more a business develops, the transactions that occur daily also increase. However, sometimes the sales transaction data is not fully utilized properly by administrative staff and company owners. In fact, if it is processed and used by administrative staff and supervised by business owners, then sales data will have a major influence on product sales in the future. Data processing can be done using data mining techniques, these data sets can produce new information, one of which is customer purchasing patterns. Syahfira Bakery and Cake is a cake, sponge and bread shop that has not fully utilized data for determining sales business strategies. With these problems, it is necessary to use transaction data to be processed with the Apriori algorithm so that it can provide new knowledge that can be utilized by shop owners. Based on the research that has been done, from the 20 processed transaction data, results are obtained that meet a minimum support of 30% and a minimum confidence of 70% and one rule is obtained, namely if a customer buys chocolate jam products, he will buy plain bread
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在确定客户购买模式时采用阿普里里算法
简历Syahfira Bakery and Cake 是一家从事蛋糕、糕点和面包生产的企业。企业越发展,每天发生的交易也就越多。然而,有时行政人员和公司所有者并没有充分利用销售交易数据。事实上,如果行政人员对其进行处理和使用,企业主对其进行监督,那么销售数据将对未来的产品销售产生重大影响。数据处理可以使用数据挖掘技术,这些数据集可以产生新的信息,其中之一就是客户购买模式。Syahfira Bakery and Cake 是一家蛋糕、海绵蛋糕和面包店,尚未充分利用数据来确定销售业务战略。面对这些问题,有必要使用 Apriori 算法对交易数据进行处理,以便为店主提供可以利用的新知识。根据已完成的研究,从 20 个经过处理的交易数据中得出的结果符合最小支持度 30% 和最小置信度 70% 的要求,并得出一条规则,即如果顾客购买巧克力果酱产品,他将会购买纯面包。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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