Meri Azmi, Deni Satria, Yance Sonatha, Farhan Rinsky Mulya, Dwi Sudarno Putra
The expansion of the industrial sector has resulted in a rise in the abundance of industrial products that are now accessible in the marketplace. Nevertheless, the proliferation of possibilities has presented a significant dilemma for retail retailers, rendering the process of selecting merchandise considerably more arduous. The seller is required to meticulously evaluate a range of elements, including the type, quality, and likelihood of successfully selling the goods in order to generate a financial gain. The present study introduces a novel approach in the form of a group decision support system aimed at aiding retail sellers in the process of product selection. The system has been specifically created to efficiently process diverse sets of information pertaining to the comparison of retail products based on certain criteria. This functionality empowers sellers to make prompt and precise selections. In order to attain the most favorable outcomes, this study integrates three distinct approaches within the decision-making calculation process: Fuzzy Logic, EDAS, and Borda techniques. The utilization of the Fuzzy Logic approach is employed for the purpose of assigning a numerical value to a criterion that lacks clarity. This is subsequently followed by the application of the EDAS method to rank the criteria. The final step involves amalgamating the outcomes of the decision-making process through the utilization of the Borda method. The web-based group decision support system has demonstrated its efficacy in offering effective solutions for retail business players to enhance sales and mitigate losses. Through the utilization of this system, retail vendors are able to make well-informed judgments regarding their merchandise, hence facilitating the maximization of their financial gains and mitigation of potential hazards. In summary, the proliferation of industrial products has presented difficulties for retail merchants. However, this study suggests a potential remedy in the shape of a collective decision support system. The integration of Fuzzy Logic, EDAS, and Borda techniques yields a robust decision-making framework, enabling retail sellers to make well-informed choices and effectively attain their business objectives. © 2023, Politeknik Negeri Padang. All rights reserved.
Department of Information Technology, Politeknik Negeri Padang, Padang, Indonesia; Department of Automotive Engineering, Universitas Negeri Padang, Padang, Indonesia
