EKSTRAKSI DATA PRODUK E-MARKETPLACE SEBAGAI STRATEGI PENGOLAHAN SEGMENTASI PASAR MENGGUNAKAN WEB CRAWLER
Ade Surahman, A Ferico Octaviansyah, Dedi Darwis
Abstract
Market Situation is something that will provide valuable benefits to increase the productivity of selling a product both conventionally and online, Indonesian e-commerce map data in the second quarter shows that the increase in sales of goods and services online is increasing, it was seen from 3 (three) major e-marketplaces namely Tokopedia, Shopee, and Bukalapak, then e-commerce activities in Indonesia in January 2019 for purchasing products or service online by 86%, it means that 86% of activities will buy products and services which located in Indonesian e-commerce. This situation creates fierce competition for sellers or business people or entrepreneurs who are just starting their business. One way for sellers to get a primacy in this competition is to apply segmentation to the products that they will sell in the online shop, but the data from a study by the association revealed that if a product stays online for a long time (more than 550 days) then 78% is very likely not to be purchased, the product placement activity in the online shop must be segmented appropriately, this research provided an effort to apply data extraction technology with web crawlers to present the segmentation, and the results of prototype testing to 9 entrepreneurs, 210 students who will start an online business, and 19 private employees which produce web crawler technology testing to help product segmentation with the result of successful was 79% with the Good category in laying online product was segmented.