SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PRODUK OLAHRAGA MENGGUNAKAN METODE TOPSIS (STUDI KASUS : SPORTS STATION BINJAI SUPERMALL)

<p>ABSTRACT<br>The development of the sports retail industry in Indonesia has<br>shown significant growth in line with advances in information<br>technology. One of the most in-demand products is running shoes,<br>both for sports activities and as part of a lifestyle. Sports Station,<br>Binjai Supermall branch, offers a wide range of branded shoes;<br>however, customers often face difficulties in selecting the most<br>suitable product due to the large variety of criteria such as upper,<br>lining, midsole, outsole, fit, price, and product rating. This<br>condition highlights the need for a system that can provide<br>structured and objective recommendations. This study develops a<br>web-based Decision Support System (DSS) using PHP programming<br>language and MySQL database, applying the Technique for Order<br>Preference by Similarity to Ideal Solution (TOPSIS) method.<br>TOPSIS was chosen because it allows the analysis of multiple<br>criteria to generate product recommendations that closely match<br>the ideal solution. The implementation results indicate that the<br>system can provide objective product ranking, with Adidas 4DFWD<br>(A11) achieving the highest preference score of 0.7335. The<br>decision-making process involves several stages, including<br>normalization of the decision matrix, weighting, determination of<br>positive and negative ideal solutions, distance calculation, and<br>computation of preference values (Vi). The findings demonstrate<br>that TOPSIS can proportionally accommodate both benefit and<br>cost criteria, enabling the system to produce rational,<br>measurable, and accountable recommendations for sports<br>products.<br>Keywords: Decision Support System, TOPSIS, product<br>recommendation, running shoes, Sports Station</p>