Implementasi Metode Weighted Product untuk Pemilihan Toko Baju Favorit Generasi Z di Bangkalan

Moh Irsyad Abdillah; Eza Rahmanita

doi:10.55606/sscj-amik.v4i4.6159

Authors

Moh Irsyad Abdillah Universitas Trunodjoyo Madura
Eza Rahmanita Universitas Trunodjoyo Madura

DOI:

https://doi.org/10.55606/sscj-amik.v4i4.6159

Keywords:

Consumer Preference, Decision Support System, Fashion Store, Generation Z, Weighted Product

Abstract

Generation Z has a high interest in fashion trends and often chooses clothing stores based on various considerations such as product quality, price, service, and shopping convenience. The large number of clothing stores in Bangkalan makes consumers experience difficulties in determining the most suitable store according to their preferences. Therefore, a decision support system is needed to provide objective recommendations. This study aims to implement the Weighted Product (WP) method in determining Generation Z's favorite clothing store in Bangkalan. Data collection was conducted by analyzing customer reviews on Google Maps from several clothing stores in Bangkalan. The criteria used in this study include material quality, fashion trends, product variations, service, store comfort, size availability, price, distance, crowd level, and service time. The alternatives analyzed were Ethica Store, Fuyn Beauty Store, Shafa Fashion, Busana Indah, and Fazo Store. The results showed that the Weighted Product method can be effectively applied in the recommendation process for favorite clothing stores. Based on the calculation results, Shafa Fashion obtained the highest preference value of 0.2314, making it the best alternative according to the established criteria.

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