PENERAPAN METODE AHP UNTUK PEMILIHAN TOKO ONLINE TAS WANITA PADA PLATFORM SHOPEE

Jurnal Sistem Informasi dan Informatika (Simika) Pub Date : 2022-08-24 DOI:10.47080/simika.v5i2.2005

Herlina Trisnawati, Veranita Veranita, Sakius Tarigan

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引用次数: 1

Abstract

Abstract: Today shopping online for daily needs has become a culture for some of our society, especially with the Covid-19 pandemic condition that has been going on for a long time, making us to do more activities at home. This has increased the interest in online shopping, especially for women who like to shop, making online stores an alternative to still being able to shop. With conditions like this, many new online shops or online stores that come from these non-online stores have joined in an e-commerce platform. As online stores increase, the competition among online stores are getting tighter and a little bit confusing for consumers to determine which online store to shop for. We need a decision support system that can help assess and compare one store with another. Researchers will use the AHP (Analytic Hierarchy Process) method that works based on a hierarchical structure in determining criteria using the Multi-criteria Decision Making (MCDM) concept that utilizes the results obtained from eigenvectors through iterations to minimize differences in the assessments of a number of respondents. The results will prove that the decision support system for choosing a trustworthy online shop for women's bags is appropriate based on the dimensions of online store satisfaction. The results of this study will be obtained which online shop for women's bags that are selected or in demand for online shopping transactions. Keywords: Analytical hierarchy process (AHP), e-commerce, eigenvector, decision support system, online shop

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方法AHP的应用，为SHOPEE平台的妇女在线钱包商店的选择

摘要:如今，网上购物已经成为社会的一种文化，尤其是在新冠肺炎疫情持续时间较长的情况下，我们更多的是在家里进行活动。这增加了人们对网上购物的兴趣，尤其是那些喜欢购物的女性，使得网上商店成为了仍然可以购物的另一种选择。在这样的条件下，许多新的网上商店或来自这些非网上商店的网上商店加入了电子商务平台。随着网上商店的增加，网上商店之间的竞争越来越激烈，消费者在决定去哪家网上商店购物时有点困惑。我们需要一个决策支持系统，可以帮助评估和比较一个商店与另一个商店。研究人员将使用AHP(层次分析法)方法，该方法基于层次结构，使用多标准决策(MCDM)概念来确定标准，该概念利用通过迭代从特征向量获得的结果来最小化一些受访者评估的差异。结果将证明基于网店满意度的维度来选择值得信赖的女包网店的决策支持系统是合适的。本研究的结果将获得哪些网上商店的女包被选择或在网上购物的需求交易。关键词:层次分析法，电子商务，特征向量，决策支持系统，网上商店

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Jurnal Sistem Informasi dan Informatika (Simika)

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