OPTIMIZING LOCATION SELECTION FOR RK BARBER USING SAW AND TOPSIS METHODS

Abstract

RK BARBER, a barbershop in Bandung City, was forced to close at the end of 2023 due to location-related issues and relocation plans. This research aims to determine the best new location to ensure long-term success. The selection process uses the SAW method to create a normalized decision matrix, followed by the TOPSIS method to determine preference values for each alternative. This research is classified as applied research with a quantitative approach. It employs a descriptive method with cross-sectional data collection. Data is obtained through interviews, observations, and literature studies and then analyzed using SAW and TOPSIS. The TOPSIS method ranks alternatives based on their closeness to the positive ideal solution and distance from the negative ideal solution. The results indicate that location A4 ranks first with the highest preference value (0.878), followed by A5 (0.763), A3 (0.530), A2 (0.447), A6 and A7 (0.383), and A1 (0.379). These rankings help determine the most suitable location for RK BARBER’s relocation, ensuring optimal conditions for long-term business growth and sustainability.