(Universitas Negeri Malang, Indonesia)(2) Juwita Annisa Fauzi
(Universitas Negeri Malang, Indonesia)(3) Seno Isbiyantoro
(Universitas Negeri Malang, Indonesia)(4) Rahmat Irsyada
(Universitas Negeri Malang, Indonesia)(5) Dhaniyar Dhaniyar
(Universitas Negeri Malang, Indonesia)(6) Leonel Hernandez
(Faculty of Engineering, Institución Universitaria ITSA, Colombia)*corresponding author
AbstractDSS 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.
KeywordsDSS MCDM AHP VIKOR
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DOIhttps://doi.org/10.26555/ijain.v5i2.172 |
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