• Title of article

    VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation

  • Author/Authors

    Wibawa, Aji Prasetya Electrical Engineer ing - Universitas Negeri Malang - Malang, Indonesia , Fauzi , Juwita Annisa Graduate School - Universitas Negeri Malang - Malang, Indonesia , Isbiyantoro, Seno Graduate School - Universitas Negeri Malang - Malang, Indonesia , Irsyada, Rahmat Graduate School - Universitas Negeri Malang - Malang, Indonesia , Dhaniyar, Graduate School - Universitas Negeri Malang - Malang, Indonesia , Hernández, Leonel Faculty of Engineering - Institución Universitaria ITSA - Barranquilla, Colombia

  • Pages
    9
  • From page
    160
  • To page
    168
  • Abstract
    DSS is built to support the solution recommendation of a problem. AHP and VIKOR are examples of DSS method. Due to VIKOR’s subjective weighting, this study combines the AHP and VIKOR approach to create a better and more reliable decision support system. The DSS is used to recommend article acceptance using five criteria: originality, quality, clarity, significance, and relevance. The results showed that AHP-VIKOR outperforms the performance of VIKOR. AHP weighting reliably replaces the subjective VIKOR’s initial weighting. The AHP-VIKOR result is more accurate and steadier than VIKOR. Thus, AHP-VIKOR can be presented as a proposed approach for creating a recommendation of scientific article acceptance.
  • Keywords
    VIKOR , AHP , MCDM , DSS
  • Journal title
    International Journal of Advances in Intelligent Informatics
  • Serial Year
    2019
  • Record number

    2601063