Implementasi Metode Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) Sistem Penunjang Keputusan Dalam Menentukan Mobil Terbaik

Abstract

Selecting the best car is a decision-making process that involves various criteria, such as price, fuel consumption, engine capacity, safety features, comfort, maintenance costs, and resale value. The large number of alternatives and the different characteristics of each vehicle often make it difficult for prospective buyers to determine the option that best suits their needs. Therefore, a Decision Support System (DSS) is needed that is able to provide objective recommendations based on a number of predetermined criteria. This study aims to implement the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method in a decision support system to determine the best car. The TOPSIS method was chosen because it has the ability to evaluate alternatives based on their proximity to the PIS and away from the NIS, thus producing a more accurate and rational alternative ranking. The research stages include identifying needs, determining criteria and weights, collecting alternative car data, the decision matrix normalization process, weighting, determining positive and negative ideal solutions, calculating the distance of each alternative to the ideal solution, and determining the preference value and final ranking. The implementation results show that the TOPSIS method is able to produce the best car recommendations systematically and objectively based on the highest preference value. The developed system can assist potential customers and dealers in making decisions more quickly, effectively, and efficiently. Therefore, implementing the TOPSIS method in a decision support system can be an effective solution for supporting the selection of the best car based on predetermined criteria.