Sistem Pendukung Keputusan Rekomendasi Produk Olahraga Menggunakan Metode Topsis (studi Kasus : Sports Station Binjai Supermall)
Year: 2025
Type: article
Abstract: ABSTRACT The development of the sports retail industry in Indonesia has shown significant growth in line with advances in information technology. One of the most in-demand products is running shoes, both for sports activities and as part of a lifestyle. Sports Station, Binjai Supermall branch, offers a wide range of branded shoes; however, customers often face difficulties in selecting the most suitable product due to the large variety of criteria such as upper, lining, midsole, outsole, fit, price, and product rating. This condition highlights the need for a system that can provide structured and objective recommendations. This study develops a web-based Decision Support System (DSS) using PHP programming language and MySQL database, applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS was chosen because it allows the analysis of multiple criteria to generate product recommendations that closely match the ideal solution. The implementation results indicate that the system can provide objective product ranking, with Adidas 4DFWD (A11) achieving the highest preference score of 0.7335. The decision-making process involves several stages, including normalization of the decision matrix, weighting, determination of positive and negative ideal solutions, distance calculation, and computation of preference values (Vi). The findings demonstrate that TOPSIS can proportionally accommodate both benefit and cost criteria, enabling the system to produce rational, measurable, and accountable recommendations for sports products. Keywords: Decision Support System, TOPSIS, product recommendation, running shoes, Sports Station
Authors: Dermawan, David, Maulita, Yani, Puspadini, Ratih
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7077482680
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