Abstract
The abundance of online shops on web ecommerce Shopee's makes it difficult for consumers to detect the genuineness of an online store. Online store detection app is an application to detect genuine online shop, good rating online shop, and fake online shop, which is useful as a recommendation to consumers in buying a product against an online shop. Detection by implementing the Breadth First Search (BFS) algorithm with Web Scraping techniques against Web e-commerce Shopee with the keyword "Kemeja Pria" with a search number of 5000, generate 1389 online shops data with the detection results of genuine online shop, good rating online shop, and fake online shop respectively as many as 90 online shops (6.5%), 948 online shops (68.3%), and 351 online shops (25.3%). The time it takes for the system to visit each node, from the first node to the 1389 node by applying the Breadth First Search algorithm takes about 2,690,021 second, or about 44.833683333 minutes, with the queue formation process, node browsing, online shop detection, and test results. The results reveal that the Breadth First Search algorithm is a simple algorithm that can be used to perform online store detection with good performance.
Highlights
The number of online shops on shopee e-commerce web makes it difficult for consumers to check the authenticity of online shops
This system is a system to check the genuine online shop or fake online shop on Shopee e-commerce quickly and automatically according to the product keywords desired by consumers
Data checking or tracing is done by applying Breadth First Search (BFS) algorithm and data retrieval using web scraping techniques on Shopee e-commerce web with the keyword "men's shirt" the number of searches as many as 200 online shops based on three parameters namely type of delivery, store rating, and response rate from online shops
Summary
Indonesia merupakan negara dengan tingkat web internet [2]. pertumbuhan e-commerce tercepat di dunia. Perbedaan dengan penelitian penulis ini yaitu proses pengunjungan web e-commerce Shopee dalam pengambilan data dengan menggunakan algoritma BFS dan untuk mengetahui status toko online yang dikunjungi asli atau dropship berdasarkan pada keyword pencarian yang pengguna masukkan ke dalam sistem pencarian. Penerapan algoritma barang yang diinginkan konsumen tersebut apakah toko Breadth First Search dapat dilihat pada Gambar 1 online yang terbaik dari beberapa aspek seperti memiliki berikut. Dalam memilih toko online asli sebelum membeli produk Pada gambar 1 di atas, yang menjadi node level 0 yaitu dari toko online yang ada di Shopee secara efektif dan keyword pencarian toko berdasarkan pencarian produk, efisien. Mempermudah konsumen dalam melakukan dimana setiap keyword pencarian memiliki produk yang pengecekan keaslian toko online asli pada e-commerce akan diambil shopid sebagai node level 1 dan itemid.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
