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E-Commerce Promotional Products Selection Using SWARA and TOPSIS

Open access
Raissa Maharani, Nabilla Farah, Rhezza Pratama, Novandra, Dachyar, M.·2024·International Journal of Innovative Science and Research Technology (IJISRT)

Abstract

This research aims to select products that will be used for promotion on e-commerce platforms. The increasing use of e-commerce has led to a high level of competition in the e-commerce field. The company strives to maintain the quality of its services to increase customer satisfaction, one of which is by providing regular promotions. The process of selecting promotional products is a routine activity carried out every week. However, the current promotional product selection process is not effective enough, and there are no criteria to use as a reference for selection. This research was conducted on two e-commerce companies actively operating in Indonesia. The research began with a literature study and expert survey to select important criteria in selecting promotional products. Weighting of important criteria is carried out using the Stepwise Weight Assessment Ratio Analysis (SWARA) method. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the best products to promote. The results showed that products from Soundcore, Lenovo, and Xiaomi were the best products with preference values of 0.83, 0.65, and 0.60 respectively.

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Metadata

Authors
Raissa Maharani, N. F., Rhezza Pratama, N., & Dachyar, M.
Venue
International Journal of Innovative Science and Research Technology (IJISRT)
Published
2024-05-21
Pages
2925-2932
ISSN
2456-2165 (ISSN-L)
OpenAlex
W4398182172
Cited by
1,547
References
1
FWCI
479.34
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: E-Commerce Promotional Products Selection Using SWARA and TOPSIS. https://app.cochat.ai/papers/10.38124/ijisrt/ijisrt24apr2676
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Raissa Maharani, N. F., Rhezza Pratama, N., & Dachyar, M. (2024). E-Commerce Promotional Products Selection Using SWARA and TOPSIS. International Journal of Innovative Science and Research Technology (IJISRT). https://doi.org/10.38124/ijisrt/ijisrt24apr2676

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.