The Impact Of Iklanku Shopee Feature Through Brand Awareness On Purchase Decisions Using SEMPLS, Naive Bayes and K-NN Method

Ni Putu, Intan Waindika Dharma, Ketut Gede, Darma Putra, Ni Made, Ika Marini Mandenni, Yusliza Binti, Mohd Yasin
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Abstract

The purpose of this study was to examine the effect of my Shopee Advertising Feature on Purchase Decisions and Brand Awareness. Testing the effect of Brand Awareness on Purchase Decisions and analyzing the role of Brand Awareness in mediating the effect of my Ads feature on Purchase Decisions. This research is motivated by the phenomenon of inequality that occurs in economic conditions that are weakening due to COVID-19 but the purchase of fashion products has actually increased. Data obtained from the distribution of questionnaires is as much as 350 data. SmartPLS is used to find the outer model and inner model. The results of the data are reprocessed to determine clusters and classification using K-Means, Naive Bayes and K-NN in the RapidMiner application. The results obtained from this research are that my Advertisement Shopee feature has a positive and significant effect on Purchase Decisions and Brand Awareness. Brand awareness has a positive and significant effect on Purchase Decisions and Brand Awareness also mediates positively and significantly the influence of the My Shopee Advertising feature on Purchase Decisions. The results obtained from data mining processing are that the Naive Bayes algorithm is more accurate than the K-NN algorithm method in classification using split data and also cross validation. Keywords: Brand Awareness, Iklanku Shopee Feature, K-NN, Naive Bayes, PurchaseDecision
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基于SEMPLS、Naive Bayes和K-NN方法的品牌认知对Iklanku购物者特征的影响
本研究的目的是检验我的Shopee广告特征对购买决策和品牌意识的影响。测试品牌意识对购买决策的影响,并分析品牌意识在中介我的广告功能对购买决策影响中的作用。这项研究的动机是不平等现象,这种现象发生在由于新冠肺炎而减弱的经济条件下,但时尚产品的购买实际上有所增加。从调查问卷的分发中获得的数据多达350个。SmartPLS用于查找外部模型和内部模型。在RapidMiner应用程序中,使用K-Means、Naive Bayes和K-NN对数据结果进行重新处理,以确定聚类和分类。研究结果表明,我的广告购物者特征对购买决策和品牌意识有积极而显著的影响。品牌意识对购买决策有着积极而显著的影响,品牌意识也积极而显著地调节了“我的购物者广告”功能对购买决策的影响。数据挖掘处理的结果表明,Naive Bayes算法在使用分裂数据进行分类和交叉验证方面比K-NN算法更准确。关键词:品牌知名度,Iklanku Shopee特征,K-NN,朴素贝叶斯,购买决策
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