Open AccessDecision Support System for Purchase of Used Cars using Electre Method
Author(s) -
Novendra Adisaputra Sinaga,
Arifin Tua Purba
Publication year - 2019
Publication title -
journal of computer networks, architecture and high performance computing
Language(s) - English
Resource type - Journals
ISSN - 2655-9102
DOI - 10.47709/cnahpc.v1i2.240
Subject(s) - electre , computer science , aggregate (composite) , operations research , selection (genetic algorithm) , decision support system , multiple criteria decision analysis , engineering , artificial intelligence , materials science , composite material
- 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.