Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method

Platforms in e-commerce are digital systems that allow online transactions to buy and sell products or services. E-commerce platforms also provide benefits for business actors because they are able to reach a wider market without geographical restrictions, while offering efficiency in business operations. The main problem in choosing a platform for e-commerce is often related to the sheer number of options available and the variety of criteria that must be considered. Criteria such as fees, platform popularity, transaction security, ease of use, features provided, as well as customer service support are important factors in determining the most suitable platform. The implementation of a decision support system to help select the optimal e-commerce platform by applying the OWH-TOPSIS method shows that this system can provide accurate and effective recommendations, so that it can be used as a reference for users in determining the e-commerce platform that suits their needs. The decision support system using the OWH-TOPSIS method provides an efficient and objective solution in the selection of e-commerce platforms. The results of the ranking of the best e-commerce platforms show that Platform D occupies the top position with the highest score value, which is 0.882. In second place is Platform E which obtained a score of 0.8599, followed by Platform A with a score of 0.8341.

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Publication Details

Journal
Journal of Computer System and Informatics (JoSYC)
Published
2024-11-26
DOI
https://doi.org/10.47065/josyc.v6i1.5990
Citations
4
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
2.70
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article

Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method

Setiawansyah Setiawansyah, Mesran Mesran, Auliya Rahman Isnain, Ryan Randy Suryono et al.
4 citations
Journal of Computer System and Informatics (JoSYC)
E-commerce and Technology Innovations
2.70
article

Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method

Setiawansyah Setiawansyah, Mesran Mesran, Auliya Rahman Isnain, Ryan Randy Suryono, Yuri Rahmanto, Junhai Wang
article en
4 citations

Abstract

Platforms in e-commerce are digital systems that allow online transactions to buy and sell products or services. E-commerce platforms also provide benefits for business actors because they are able to reach a wider market without geographical restrictions, while offering efficiency in business operations. The main problem in choosing a platform for e-commerce is often related to the sheer number of options available and the variety of criteria that must be considered. Criteria such as fees, platform popularity, transaction security, ease of use, features provided, as well as customer service support are important factors in determining the most suitable platform. The implementation of a decision support system to help select the optimal e-commerce platform by applying the OWH-TOPSIS method shows that this system can provide accurate and effective recommendations, so that it can be used as a reference for users in determining the e-commerce platform that suits their needs. The decision support system using the OWH-TOPSIS method provides an efficient and objective solution in the selection of e-commerce platforms. The results of the ranking of the best e-commerce platforms show that Platform D occupies the top position with the highest score value, which is 0.882. In second place is Platform E which obtained a score of 0.8599, followed by Platform A with a score of 0.8341.

Journal of Computer System and Informatics (JoSYC)Vol. 6(1)
Telkom Institute of Management (ID), Universitas Teknokrat Indonesia (ID), Zhejiang Technical Institute of Economics (CN)
Openalex Percentile: Top 8%
E-commerce and Technology Innovations
2.70
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