Online Shop Untuk Sistem Penunjang Keputusan Barang Paling Diminati Menggunakan Metode Apriori

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Abstract

Currently, competition in the business world is increasingly competitive and growing. Supported by technology that is growing rapidly, many online shops have sprung up which are better known as online shops. However, it is not uncommon for many small to medium-sized shops, especially those engaged in clothing, to not have a website to market their products. The marketing is only limited to the location of the store and cannot be widely marketed to other people. So that buyers find it difficult if they want to compare prices or see the goods sold at the store and CV. Dodoi Collection can see the items that buyers are most interested in using the a priori method. The purpose of this research is to build an online shop at CV. Dodoi Collection along with a decision-making system to determine the most desirable clothes using the a priori method and displaying the most popular items on the CV. Dodoi Collection so that the clothing production process is more efficient. The research was conducted directly in the field by using interview techniques, then by studying books, literature related to the problems discussed. After the data is collected, then the data is grouped and analyzed using the Unified Modeling Language (UML). The results of the analysis are applied to a phpmysql-based data processing information system application program. The methodology that guides the system development activities is the SDLC. The SDLC model used in this study is the WaterFall Model. The results of this study are expected to help companies to market their products more broadly by using an online shop and being able to display the most desirable products on the CV. Dodoi Collection
在线商店的决策系统支持最重要的是使用四月的方法
目前,商业世界的竞争日益激烈。在快速发展的技术的支持下,许多网上商店如雨后春笋般涌现,这些商店被称为网上商店。然而,对于许多中小型商店,特别是那些从事服装的商店来说,没有网站来销售他们的产品并不罕见。营销只局限于商店的位置,不能广泛地向其他人推销。因此,如果买家想要比较价格或查看商店和CV中出售的商品,他们会觉得很困难。Dodoi Collection可以使用先验方法查看买家最感兴趣的物品。本研究的目的是在CV建立一个网上商店。Dodoi系列以及一个决策系统,使用先验方法确定最理想的衣服,并在简历上显示最受欢迎的物品。Dodoi Collection使服装生产过程更加高效。该研究是通过使用访谈技术直接在实地进行的,然后通过研究与所讨论问题相关的书籍和文献。在收集数据之后,然后使用统一建模语言(UML)对数据进行分组和分析。将分析结果应用到一个基于phpmysql的数据处理信息系统应用程序中。指导系统开发活动的方法是SDLC。本研究使用的SDLC模型是瀑布模型。这项研究的结果有望帮助公司通过使用网上商店更广泛地推销他们的产品,并能够在简历上展示最受欢迎的产品。Dodoi集合
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