Aji Prasetya Wibawa, Juwita Annisa Fauzi, Seno Isbiyantoro, Rahmat Irsyada, Dhaniyar, Leonel Hernández
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. © 2019, Universitas Ahmad Dahlan. All rights reserved.
Electrical Engineering, Universitas Negeri Malang, Malang, Indonesia; Graduate School, Universitas Negeri Malang, Malang, Indonesia; Faculty of Engineering, Institución Universitaria ITSA, Barranquilla, Colombia
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