Analisis Pemilihan Marketplace Terbaik pada Masa Pandemi COVID-19 Menggunakan Metode Simple Additive Weighting (SAW), Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) dan Weighted product (WP)

Abstract

Marketplace is an online media that functions as a place where sellers and buyers conduct business activities or transactions. The presence of a marketplace is very much needed by the community, especially during the COVID-19 pandemic. The appeal for social distancing makes most people choose to shop online which of course has a big impact on the presence of the marketplace. Because consumer needs continue to increase, the best marketplace Platform that can meet daily needs is needed, through a decision support system using the SAW (Simple Additive Weighting) method, TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) and WP (Weighted product). give the best decision in choosing a marketplace site. In the results of manual and application calculations, it is found that the results are both compatible. In the SAW method, TOPSIS and WP produced the same ranking, namely the Shopee marketplace got the highest ranking with a value of 0.9724 on the SAW method 0.706 on the TOPSIS method and 0.2112 on the WP followed by Tokopedia, Lazada, Bukalapak, and Blibli.Keywords:Marketplace selection; decision support system; Simple Additive Weighting; Technique for Others Reference by Similarity to Ideal Solution; weight product.

Aplikasi E–Commerce Toko Sinar Bella dengan Metode Rapid Application Development (RAD) menggunakan Framework CodeIgniter 4

“…E-Commerce yang berbasis toko online tidak bisa dipisahkan dengan website (Putra, Fitri, & Hidayatullah, 2022). E-Commerce menyediakan suatu kemudahan untuk menjual dan membeli produk serta informasi melalui internet atau sarana lainnya (Azharandi, Andryana, & Gunaryati, 2022;Syamila, Fauziah, & Natashia, 2021).…”

E-Commerce Product Recommendation System Using Case-Based Reasoning (CBR) and K-Means Clustering

“…To understand more deeply about the development of recommendation systems in the context of e-commerce, it is important to refer to the results of existing related studies. Research by Syamila et al [1] discusses the analysis of choosing the best marketplace during the COVID-19 pandemic using the Simple Additive Weighting (SAW), Technique for Others Reference by Similarity to Ideal Solution (TOPSIS), and Weighted Product (WP) methods. Another study by Syafrizal [2] regarding the Web-Based SME Online Marketing System (E-Commerce) also provides insight into system development on a small and medium business scale.…”

“…In the midst of a digital era that is experiencing rapid development, the e-commerce industry has achieved an integral status in everyday life, functioning as one of the main pillars of the modern trade ecosystem [1] [2]. Through various ecommerce platforms, users are given broad and unlimited access to explore a variety of products from various categories, presenting unlimited shopping opportunities in cyberspace [3] [4].…”

Comparison of SAW and Topsis Methods in The Selection of The Best Online Bike Shops

“…To support this research, the author uses some of the most research that has been carried out by several previous studies, both in the form of the Simple Additive Weighting and Topsis methods in the selection of e-commerce. In the research conducted by Sidik in "Implementation of the Simple Additive Weighting Method in Choosing the Best Online Computer Store", in his research found the criteria for an online store that customers will choose, namely having a responsive and compatible visual appearance, emphasis on website loading time, news updates or information updates, good customer service, payment security (Chaeruddin et al, 2021) According to Zahra Wafda Syamila, Fauziah, Novi Dian Natashia in the title "Analysis of the Best Marketplace Selection during the COVID-19 Pandemic Using the Simple Additive Weighting (SAW), TOPSIS and Weighted product Methods", this research resulted in a website-based best marketplace selection decision support system and calculations using the SAW, TOPSIS, and WP methods have similarities where the value of the highest falls on the same alternative and the accuracy rate of the three methods reaches 100% (Syamila et al, 2021).…”