Open AccessCombination of the SAW and TOPSIS Method For Determining The Best Marketplace Recommendations
Author(s) -
Frieyadie Frieyadie,
Adriana Hadi Sukmawati,
Nurajijah
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1641/1/012004
Subject(s) - topsis , business , computer science , operations research , engineering
A marketplace is a place where sellers can sell merchandise online without the need to create a website. From the many available marketplaces, it appears that consumers’ desires in choosing a marketplace are different. Therefore a decision support system is needed to help resolve this problem. In this study, the author combines two methods, namely Simple Additive Weighting (SAW) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The SAW method is used to find normalized matrix values, and the TOPSIS method to find normalized weighted matrices up to ranking. This is because the two methods are simple, easy to understand, efficient, and can measure the relative performance of decision alternatives in a simple mathematical form. The final result of this research is to determine the best alternative of a marketplace with criteria: application appearance, features, interactivity, transaction security, and customer service.