Modification of Multi-Attribute Utility Theory in Determining Scholarship Recipient Students
- Muhammad Waqas Arshad University of Bologna, Bologna, Italy
-
Setiawansyah Setiawansyah
*
Universitas Teknokrat Indonesia, Bandar Lampung,
Indonesia
- Yuri Rahmanto Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia
- Pritasari Palupiningsih Institut Teknologi Perusahaan Listrik Negara, Jakarta, Indonesia
- Sufiatul Maryana Universitas Pakuan, Bogor, Indonesia (*) Corresponding Author
Abstract
Educational scholarships are financial aid given to students or students to support the financing of their education. Mistakes in the assessment of scholarship recipients are often related to subjectivity and lack of transparency in the selection process. Unclear or inconsistent assessment criteria can lead to unfairness, where some deserving candidates may not get the same opportunities. The number of data used in Determining Scholarship Recipient Students is 10 students. The purpose of the MAUT modification research with geometric mean in producing criterion weights is to improve accuracy, stability, and consistency in the decision-making process. This study also aims to test the effectiveness of the geometric mean method in producing more objective and structured weights, as well as compare it with other traditional MAUT methods such as direct addition or multiplication. The modification of the MAUT method with a geometric mean is named G-MAUT. The results of the ranking of scholarship recipients using the G-MAUT method the first-place scholarship recipient with a final score of 1.0048 was obtained by Student 3, the second-place scholarship recipient with a final score of 0.6260 was obtained by Student 8, and the third-place scholarship recipient with a final score of 0.5048 was obtained by Student 5. This modification under the name G-MAUT allows for a more holistic and comprehensive assessment of potential recipients, ensuring that non-academic aspects are also taken into account proportionately.
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References
K. AKILLI and E. İPEKÇİ ÇETİN, “Selection of Scholarship Students in Higher Education with VIKOR Method,” Int. J. Assess. Tools Educ., vol. 7, no. 3, pp. 379–391, 2020, doi: https://doi.org/10.21449/ijate.684360.
A. R. Mishra, P. Rani, F. Cavallaro, I. M. Hezam, and J. Lakshmi, “An Integrated Intuitionistic Fuzzy Closeness Coefficient-Based OCRA Method for Sustainable Urban Transportation Options Selection,” Axioms, vol. 12, no. 2, p. 144, Jan. 2023, doi: 10.3390/axioms12020144.
H. K. Chan, X. Sun, and S.-H. Chung, “When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process?,” Decis. Support Syst., vol. 125, p. 113114, 2019.
M. Ordu, E. Demir, C. Tofallis, and M. M. Gunal, “A comprehensive and integrated hospital decision support system for efficient and effective healthcare services delivery using discrete event simulation,” Healthc. Anal., vol. 4, p. 100248, Dec. 2023, doi: 10.1016/j.health.2023.100248.
R. Torres-Sanchez, H. Navarro-Hellin, A. Guillamon-Frutos, R. San-Segundo, M. C. Ruiz-Abellón, and R. Domingo-Miguel, “A decision support system for irrigation management: Analysis and implementation of different learning techniques,” Water, vol. 12, no. 2, p. 548, 2020, doi: https://doi.org/10.3390/w12020548.
S. H. Musti, D. Irmayani, and G. J. Yanris, “Analysis Of The Electre Method In Decision Support Systems For Determining Areas Of Expertise For Informatics Management Study Program Students,” INFOKUM, vol. 9, no. 2, June, pp. 184–190, 2021.
M. Kayacık, H. Dinçer, and S. Yüksel, “Using quantum spherical fuzzy decision support system as a novel sustainability index approach for analyzing industries listed in the stock exchange,” Borsa Istanbul Rev., vol. 22, no. 6, pp. 1145–1157, Nov. 2022, doi: 10.1016/j.bir.2022.10.001.
J. Rueda-Benavides, M. Khalafalla, M. Miller, and D. Gransberg, “Cross-asset prioritization model for transportation projects using multi-attribute utility theory: a case study,” Int. J. Constr. Manag., vol. 23, no. 16, pp. 2746–2755, 2023.
I. Taufik, C. N. Alam, Z. Mustofa, A. Rusdiana, and W. Uriawan, “Implementation of Multi-Attribute Utility Theory (MAUT) method for selecting diplomats,” in IOP Conference Series: Materials Science and Engineering, 2021, vol. 1098, no. 3, p. 32055.
J. H. Lubis, M. Mesran, and C. A. Siregar, “The Decision Support System for Cashier Recruitment Implements the Multi-Attribute Utility Theory Method,” Build. Informatics, Technol. Sci., vol. 6, no. 1, pp. 257–264, 2024.
V. R. Campos and D. J. S. Moreira, “Risk assessment with multi-attribute utility theory for building projects,” J. Build. Pathol. Rehabil., vol. 7, no. 1, p. 98, 2022.
Setiawansyah, S. Sintaro, and A. A. Aldino, “MCDM Using Multi-Attribute Utility Theory and PIPRECIA in Customer Loan Eligibility Recommendations,” J. Informatics, Electr. Electron. Eng., vol. 3, no. 2, pp. 212–220, Dec. 2023, doi: 10.47065/jieee.v3i2.1628.
U. Akpan and R. Morimoto, “An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria,” Socioecon. Plann. Sci., vol. 82, p. 101256, 2022.
P. R. Pittman et al., “Clinical characterization and placental pathology of mpox infection in hospitalized patients in the Democratic Republic of the Congo,” PLoS Negl. Trop. Dis., vol. 17, no. 4, p. e0010384, Apr. 2023, doi: 10.1371/journal.pntd.0010384.
H. Dinçer, S. Yüksel, and S. Eti, “Identifying the Right Policies for Increasing the Efficiency of the Renewable Energy Transition with a Novel Fuzzy Decision-Making Model,” J. Soft Comput. Decis. Anal., vol. 1, no. 1, pp. 50–62, Aug. 2023, doi: 10.31181/jscda1120234.
C. Feng and H. Wang, “Harmonic mean and geometric mean of a non negative random variable,” Commun. Stat. - Theory Methods, pp. 1–0, May 2024, doi: 10.1080/03610926.2024.2349713.
W. Saputra, S. A. Wardana, H. Wahyuda, and D. A. Megawaty, “Penerapan Kombinasi Metode Multi-Attribute Utility Theory (MAUT) dan Rank Sum Dalam Pemilihan Siswa Terbaik,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 2, no. 1, pp. 12–21, 2024.
H. Sulistiani, Setiawansyah, P. Palupiningsih, F. Hamidy, P. L. Sari, and Y. Khairunnisa, “Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution,” in 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 2023, pp. 369–373. doi: 10.1109/ICIMCIS60089.2023.10349017.
A. D. Wahyudi and A. F. O. Pasaribu, “Metode SWARA dan Multi Attribute Utility Theory Untuk Penentuan Pemasok Pakan Ikan Terbaik,” J. Media Jawadwipa, vol. 1, no. 1, pp. 26–37, 2023.
Z. Zhai, J. F. Martínez, V. Beltran, and N. L. Martínez, “Decision support systems for agriculture 4.0: Survey and challenges,” Comput. Electron. Agric., vol. 170, p. 105256, 2020.
I. M. Hezam, A. R. Mishra, P. Rani, A. Saha, F. Smarandache, and D. Pamucar, “An integrated decision support framework using single-valued neutrosophic-MASWIP-COPRAS for sustainability assessment of bioenergy production technologies,” Expert Syst. Appl., vol. 211, p. 118674, Jan. 2023, doi: 10.1016/j.eswa.2022.118674.
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Copyright (c) 2024 Muhammad Waqas Arshad, Setiawansyah Setiawansyah, Yuri Rahmanto, Pritasari Palupiningsih, Sufiatul Maryana
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