2021
DOI: 10.30865/ijics.v5i1.2969
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Comparison of the WASPAS and MOORA Methods in Providing Single Tuition Scholarships

Abstract: Single Tuition Scholarship (UKT) is a grant provided by the Ministry of Education and Culture (Kemendikbud) to universities, both State Universities (PTN) and Private Universities (PTS). This aims to help underprivileged people so they can get education in higher education, both PTN and PTS. The large number of UKT recipient participants overwhelmed the University and made the decision not objective. For this reason, it is necessary to have a decision support system (SPK) in order to help deal with these probl… Show more

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Cited by 20 publications
(18 citation statements)
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“…The MCDM techniques are the most well-known approaches to decision-making problems (WSM) [11]. The WSM approach calculates an alternative's overall score as a weighted sum of the criteria values, whereas the WPM method calculates an alternative's score as a result of scaling each criterion to a power equal to that criterion's weight [12]. The weighted aggregate function is optimized by WASPAS in addition to these other methods in an effort to achieve the best estimation accuracy [13].…”
Section: Methodsmentioning
confidence: 99%
“…The MCDM techniques are the most well-known approaches to decision-making problems (WSM) [11]. The WSM approach calculates an alternative's overall score as a weighted sum of the criteria values, whereas the WPM method calculates an alternative's score as a result of scaling each criterion to a power equal to that criterion's weight [12]. The weighted aggregate function is optimized by WASPAS in addition to these other methods in an effort to achieve the best estimation accuracy [13].…”
Section: Methodsmentioning
confidence: 99%
“…The MCDM techniques are the most well-known approaches to decision-making problems (WSM) [14]. The WSM approach calculates an alternative's overall score as a weighted sum of the criteria values, whereas the WPM method calculates an alternative's score as a result of scaling each criterion to a power equal to that criterion's weight [15]. The weighted aggregate function is optimized by WASPAS in addition to these other methods in an effort to achieve the best estimation accuracy [16].…”
Section: Methodsmentioning
confidence: 99%
“…Metode WASPAS merupakan penggabungan yang baik antar MCDM yaitu WSM dan WPM yang memerlukan penormalisasi linear dengan matriks keputusan dan dua persamaan [17], [18]. Berikut merupakan langkah-langkah kerja dari metode WASPAS [17]…”
Section: Metode Weighted Aggregated Sum Product Assessment (Waspas)unclassified