Penentuan Paket Promosi Pakaian PT. D&C Production dengan Menggunakan Algoritma FP-Growth

M. Rizky, A. Ridha, Kamal Prihandani
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引用次数: 1

Abstract

PT. D&C Production is a center for selling, foam mattresses, mattresses of all sizes and models, may types of car accessories and various kinds of women's and men's underwear. Problems regarding the decline in sales resulted in the accumulation of goods so that it became a loss. Data mining can be a solution to overcome these problems. This study will use the fp-growth algorithm to form an association model with the aim of helping companies increase their sales by creating underwear promotional packages. The data set that will be used to support this research is the sales transaction data set for the period April 2020 to December 2020. The results show that known rules have been obtained using the fp-growth algorithm, where the rules of this association can create strategies to increase clothing sales. In the form of five association rules that are ready to be used for making clothing promotional packages by meeting the support values and confidence values that have been set at the beginning, namely having a confidence value above 80% and a support value above 25%.
PT. D&C生产是一个销售中心,泡沫床垫,床垫的各种尺寸和型号,可能类型的汽车配件和各种男女内衣。销售下降的问题导致了货物的积累,从而成为亏损。数据挖掘可以成为克服这些问题的解决方案。本研究将使用fp-growth算法形成关联模型,目的是通过创建内衣促销包来帮助企业增加销售额。将用于支持本研究的数据集是2020年4月至2020年12月期间的销售交易数据集。结果表明,使用fp-growth算法获得了已知的规则,其中这种关联的规则可以创建增加服装销售的策略。以5条关联规则的形式,满足开始时设定的支持值和置信度,即置信度在80%以上,置信度在25%以上,准备用于服装促销包装的制作。
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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