文章基本信息

标题：IMPLEMENTATION OF THE BFS ALGORITHM AND WEB SCRAPING TECHNIQUES FOR ONLINE SHOP DETECTION IN INDONESIA
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作者：NURDIN ; BUSTAMI ; 3MUHAMMAD HUTOMI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：12
语种：English
出版社：Journal of Theoretical and Applied
摘要：This The number of online shops in Indonesia on the Shopee e-commerce web makes it difficult for consumers to detect the authenticity of online stores. This online shop detection system is an application to detect genuine online shops or fake online stores (dropship). This study aims to assist consumers in the process of searching for genuine online stores that sell the desired products quickly and automatically. The method used in this research is the Breadth First Search (BFS) algorithm and the Web Scraping technique which will be applied to the Shopee e-commerce web in Indonesia based on three parameters, namely delivery, store rating, and response rate. The results of this study indicate that the Breadth First Search algorithm with the Web Scraping technique can be used to complete the process of retrieving store data and product data in e-commerce and is able to explore as well as check online stores automatically with good performance. The test results are based on factors such as precision, recall, F-Score, and Accuracy, with the results of 81% precision, 89% recall, 84.82% f-score, and 90% accuracy with 100 search data.
关键词：Online Shop;BFS Algorithm;Web Scraping;E-Commerce;Detecti