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Pradina, Selomita
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Mechanical Engineering Veterinary

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PEMODELAN OPTIMASI PEMILIHAN PRODUK PADA PLATFORM E-COMMERCE SHOPEE BERBASIS FORMULASI ALJABAR LINIER Pradina, Selomita; Akbar, Syeren Kyla
(JITEK)Jurnal Ilmiah Teknosains Vol 11, No 2/Nov (2025): Jitek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v11i2/Nov.25515

Abstract

The development of e-commerce in Indonesia has changed consumer decision-making patterns, particularly on the Shopee platform, which offers a wide selection of products at competitive prices. However, the multitude of alternatives often makes it difficult for consumers to determine the best product that balances price, quality, and seller reputation. This study aims to develop a linear algebra-based product selection optimization model with a linear programming approach to help consumers make rational, data-driven decisions. Four main factors were analyzed: price, shipping costs, ratings, and reviews. Data were obtained through a questionnaire survey of 100 Shopee user respondents and actual product data in the fashion category. The results show that reviews (0.2819) and ratings (0.2698) have a dominant influence compared to price (0.2283) and shipping costs (0.2200). This optimization model is able to transform qualitative variables into measurable quantitative values, resulting in optimal product recommendations based on a balance between digital trust and economic efficiency. This approach provides a unique contribution in applying linear algebra concepts to the analysis of digital consumer behavior on e-commerce platforms.
Co-Authors Akbar, Syeren Kyla