Optimalisasi Sistem Pendukung Keputusan Pemilihan Toko Daring Terbaik Menggunakan Metode ANP (Studi Kasus Politeknik Ganesha)

Abstract

Thick store business activities are growing, online purchases and sales are growing. The community does not need to leave home and face congestion if they want to buy goods. The development in the special society of the Polytechnic students of Ganesha is the purchase of using the internet, which is known as an online store. Polytechnic students from Ganesha often discuss online shops. Talk about thick stores to meet student needs in online purchases, and choose which thick store is best for online shopping. With this explanation, it is important to consider which decision to choose the best thick store in the Ganesha Polytechnic environment using the Analytic Network Process (ANP) method. In this method, 10 criteria will be processed, namely: Online Phone / Chat Numbers, Popular Products, Free Shipping, Shipping Systems, Logos, Social Media Links, Search Stores, Product Brands, Latest News, and Trusmark and 3 types of alternatives Online. Stores, namely: Bukalapak, Shopee and Lazada. The results of research on data processing using the ANP method indicate the type of Online Store that can be recommended for students of Ganesha Polytechnic as consumers who buy online from the highest to lowest order are Lazada = 0.114, Shopee = 3.80, Bukalapak = 3.73 and Lazada = 2.47.