Implementasi Metode AHP-MOORA dan AHP-SAW Pada Sistem Pendukung Keputusan Pemilihan E-Commerce Terbaik

Authors

  • Sri Wahyuni Universitas Islam Negeri Sumatera Utara Medan
  • Hamidah Nasution Universitas Islam Negeri Sumatera Utara Medan
  • Rima Aprilia Universitas Islam Negeri Sumatera Utara Medan

DOI:

https://doi.org/10.30605/proximal.v8i2.6587

Keywords:

E-Commerce, AHP, MOORA, SAW

Abstract

Indonesia is currently experiencing very rapid technological development compared to a few years ago. The digital era marked by the 4.0 revolution affects every aspect of people's perceptions and purchasing power of an online store or online store which is often referred to as E-Commerce. 96% of internet users have searched for and purchased goods and services online. Of the various choices of E-Commerce in Indonesia, it sometimes makes the public as consumers confused in choosing the best and superior E-Commerce if it is based on several categories such as price, product variations, payment method variations, and so on to make transactions. To help make it easier for consumers to choose the best E-Commerce, an appropriate decision support system is needed. In this study, the implementation of the AHP-MOORA and AHP-SAW methods was used. The best E-Commerce is determined based on the weight of the criteria of 100 respondents who actively use E-Commerce. Stating that the “Shopee” alternative is the best E-Commerce with an AHP-MOORA preference value (rank) of 0.309 and AHP-SAW of 0.974. The "Tiktok Shop" alternative ranks second with an AHP-MOORA preference value of 0.284 and an AHP-SAW of 0.928. The third rank is "Tokopedia" with a preference value of 0.278 on AHP-MOORA and a preference value of 0.907 on AHP-SAW. The conclusion of this study states that the AHP-MOORA and AHP-SAW methods can be used to determine the best E-Commerce.

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Published

2025-07-23

How to Cite

Wahyuni, S., Nasution, H., & Aprilia, R. (2025). Implementasi Metode AHP-MOORA dan AHP-SAW Pada Sistem Pendukung Keputusan Pemilihan E-Commerce Terbaik. Proximal: Jurnal Penelitian Matematika Dan Pendidikan Matematika, 8(2), 875–891. https://doi.org/10.30605/proximal.v8i2.6587

Issue

Vol. 8 No. 2 (2025): Innovasi dalam Matematika dan Pembelajarannya

Section

Articles

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