CParts Marketplace 计算机组件价格分析平台

Anas Sufi, Hasan Manahingati, Puji Winar Cahyo, Kartika Kusumaningtyas, Alfun Roehatul Jannah
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引用次数: 0

摘要

在 "Covid-19 "大流行带来的计算机组件价格波动中,一个综合分析平台应运而生。这一创新平台利用了从 Shopee、Blibli 和 Tokopedia 等著名电子商务平台获取的历史数据,为用户提供了按组件系列和类型分类的具有洞察力的平均价格图表。所采用的研究方法遵循原型方法,包括从需求分析、应用设计、原型开发、测试、评估、原型完善到实施和持续维护的各个细致阶段。该系统由 Python 编程语言驱动,具有强大的功能,包括产品搜索和源自历史数据的动态图形表示。数据检索过程采用 Scraping 方法,每周定期进行。在对 2022 年 1 月至 7 月的历史数据进行细致分析后,发现了一个值得注意的趋势,即与 Blibli 相比,Shopee 和 Tokopedia 始终以相对更实惠的价格提供计算机组件。这项研究的结论强调了该平台的功效,它为用户提供了一个重要工具,帮助他们驾驭复杂的计算机组件价格动态,尤其是在前所未有的大流行病背景下。该平台不仅便于监控,而且还能为用户提供宝贵的见解,这些见解对于用户在稳定和预算友好的定价结构基础上做出明智的采购决策至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CParts Platform Analisis Harga Komponen Komputer pada Marketplace
Amidst the fluctuations in computercomponent prices brought about by the Covid-19pandemic, a comprehensive analysis platform hasbeen developed to address this challenge. Thisinnovative platform harnesses historical datasourced from prominent e-commerce platforms suchas Shopee, Blibli, and Tokopedia, presenting userswith insightful average price graphs categorized bycomponent series and types. The researchmethodology adopted follows a prototype approach,encompassing meticulous phases ranging fromneeds analysis, application design, prototyping,testing, evaluation, prototype refinement, through toimplementation and ongoing maintenance. Thesuccessful implementation of this system, powered bythe Python programming language, features robustfunctionalities including product search anddynamic graphical representations derived fromhistorical data. The data retrieval process, utilizingthe Scraping method, occurs at regular intervals ona weekly basis. Upon meticulous analysis ofhistorical data spanning from January to July 2022,a noteworthy trend emerged, highlighting thatShopee and Tokopedia consistently offer computercomponents at relatively more affordable pricescompared to Blibli. The conclusive findings of thisresearch underscore the platform's efficacy inproviding an essential tool for users navigating thecomplex landscape of computer component pricedynamics, particularly in the unprecedented contextof the ongoing pandemic. This platform not onlyfacilitates monitoring but also empowers users withvaluable insights crucial for informed purchasingdecisions based on stable and budget-friendly pricingstructures.
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