A Recommendation System for Buying a used Car using the Promethee Method

Along with the times and lifestyle changes, cars have begun to become an important means of transportation, even mandatory for today's people. Buying a used car is one solution for some people who have limitations to buy a new car. When buying a used car, there are several criteria that potential buyers want. The number of these criteria often confuses potential buyers in determining the choice of a car that suits their wishes. Therefore, it is necessary to have a decision-supporting information system that can help in increasing efficiency and effectiveness in the selection of used cars. The data used in this study were obtained through literature studies, questionnaire division and data scrapping. The data is used to build a decision support system application using the Preference Ranking Organizational Method for Enrichment Evaluation (PROMETHEE) method to be a solution to determine the choice that best suits the criteria of prospective used car buyers. Evaluation is carried out by precision and recall testing, as well as questionnaires on prospective buyers to conduct a user acceptance test. The test results show that the PROMETHEE method can be used to provide recommendations for used cars according to the criteria of potential buyers. In addition, 89.2% of respondents agreed that the system built can make it easier for potential buyers to make their choice