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.

Keywords

TOPSISSelection (genetic algorithm)BusinessComputer scienceAdvertisingOperations researchEngineeringArtificial intelligence

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Publication Info

Year
2024
Type
article
Pages
2925-2932
Citations
1546
Access
Closed

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Cite This

Nabilla Farah Raissa Maharani, Novandra Rhezza Pratama, M. Dachyar (2024). E-Commerce Promotional Products Selection Using SWARA and TOPSIS. International Journal of Innovative Science and Research Technology (IJISRT) , 2925-2932. https://doi.org/10.38124/ijisrt/ijisrt24apr2676

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DOI
10.38124/ijisrt/ijisrt24apr2676

Data Quality

Data completeness: 81%