Decision Support System for Purchase of Used Cars using Electre Method
DOI:
10.47709/cnahpc.v1i2.240Keywords:
Decision Making System, Used Car, Electre, Criteria, AlternativeDimension Badge Record
Abstract
- This study aims to build a decision support system that can help facilitate the selection of the right used car for potential buyers. To be able to buy a used car that suits the needs and funds owned by consumers, buyers must consider the many criteria and factors of each used car which consists of various brands that exist today. This study uses the ELECTRE (Elimination and Choice Translation Reality) method. The criteria in the comparison used in this decision support system are documents, cylinder volume, year of production and car price. The ELECTRE method is used in conditions where alternatives that do not meet the criteria are eliminated, and suitable alternatives can be generated. Of the 8 samples of used cars studied, the best recommendation was Ayla (A4) with a total aggregate of 4 and an alternative that was not recommended was Agya (A3) with a total aggregate of 0.
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ARTICLE Published HISTORY
Accepted Date: 2019-04-06
Published Date: 2019-07-21
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Copyright (c) 2019 Novendra Adisaputra Sinaga, Arifin Tua Purba
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
