Keywords:-
Article Content:-
Abstract
This research aims to develop a model for selecting scholarship recipients using a combination of the Best Worst Method, SMART and PROMETHEE. The topic was chosen due to the importance of an objective and transparent selection process to improve access to higher education for underprivileged students. The Best Worst Method is used to determine criteria weights by comparing the best and worst criteria. SMART evaluates the utility value of alternatives based on the weights obtained from the Best Worst Method. PROMETHEE ranks the alternatives based on preference values calculated from SMART results. The results showed that this combination achieved an accuracy of 96,29%, precision of 96,67%, recall of 96,67%, and specificity of 96,67%. In the sensitivity analysis, based on 20 weight change experiments, resulted in an average value of 0,863, indicating the superiority of this method compared to others. These findings suggest that this combination is more robust to weight changes, making it more effective in maintaining consistency and objectivity during the selection process. Applying Best Worst Method, SMART and PROMETHEE enhances the quality of scholarship selection, ensuring fairness, objectivity and consistency in various decision-making situations.
References:-
References
H. Nopriandi, A. Aprizal, and S. Chairani, “Sistem Pendukung Keputusan Seleksi Calon Penerima Beasiswa Kartu Indonesia Pintar Kuliah (Kip-K) Di Universitas Islam Kuantan Singingi,” J. Teknol. Dan Open Source, vol. 5, no. 1, pp. 41–54, 2023,
doi: 10.36378/jtos.v6i1.2698.
R. Maulana et al., “Sistem Pendukung Keputusan Pemilihan Alat Kontrasepsi Terbaik Menggunakan Metode SMART (Simple Multi Atribut Rating Technique) Bagi Keluarga Berencana,” Evolusi J. Sains dan Manaj., vol. 9, no. 1, pp. 52–59, 2021.
L. Oubahman and S. Duleba, “Review of PROMETHEE method in transportation,” Prod. Eng. Arch., vol. 27, no. 1, pp. 69–74, 2021,
doi: 10.30657/pea.2021.27.9.
L. Abdullah, W. Chan, and A. Afshari, “Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions,” J. Ind. Eng. Int., vol. 15, no. 2, pp. 271–285, 2019, doi: 10.1007/s40092-018-0289-z.
M. Mohammadi and J. Rezaei, “Bayesian best-worst method: A probabilistic group decision making model,” Omega (United Kingdom), vol. 96, no. June, 2020, doi: 10.1016/j.omega.2019.06.001.
F. Liang, M. Brunelli, and J. Rezaei, “Consistency Issues in The Best Worst Method: Measurements and Thresholds,” Omega (United Kingdom), vol. 96, p. 102175, 2020,
doi: 10.1016/j.omega.2019.102175.
A. Zahara, Samsudin, and M. Fakhriza, “Perbandingan Metode SMART, SAW, MOORA pada Pembangunan Sistem Pendukung Keputusan Pemilihan Calon Mitra Statistik,” J. Comput. Digit. Bus., vol. 1, no. 2, pp. 72–82, 2022,
doi: 10.56427/jcbd.v1i2.17.
A. Taghipour, A. Fooladvand, M. Khazaei, and M. Ramezani, “Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE,” Sustain., vol. 15, no. 11, 2023, doi: 10.3390/su15118670.
K. Kabassi and A. Martinis, “Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites,” Appl. Sci., vol. 11, no. 19, 2021, doi: 10.3390/app11199215.
P. Liu, B. Zhu, and P. Wang, “A Weighting Model Based on Best–Worst Method and Its Application for Environmental Performance Evaluation,” Appl. Soft Comput., vol. 103, p. 107168, 2021,
doi: 10.1016/j.asoc.2021.107168.
M. Mohamed, A. M. Ali, M. Abdel-Basset, M. Abouhawwash, S. S. Askar, and A. A. Tantawy, “Extension of Simple Multi-Attribute Rating Technique in Uncertainty Environment for 5G Industry Evaluation: Egyptian New Administrative Capital as A Case Study,” Heliyon, vol. 10, no. 7, p. e29033, 2024, doi: 10.1016/j.heliyon.2024.e29033.
R. Taghizadeh, “Ranking and identifying leading manufacturing sectors using the best-worst method and PROMETHEE technique : a case of West Azarbaijan province,” Green Technol., vol. 01, no. January, pp. 9–16, 2023.
J. Rezaei, “Best-worst multi-criteria decision-making method,” Omega (United Kingdom), vol. 53, pp. 49–57, 2015,
doi: 10.1016/j.omega.2014.11.009.
E. B. Agyekum et al., “Decarbonize Russia — A Best–Worst Method approach for assessing the renewable energy potentials, opportunities and challenges,” Energy Reports, vol. 7, pp. 4498–4515, 2021, doi: 10.1016/j.egyr.2021.07.039.
A. Aljuhani, “Multi-Criteria Decision-Making Approach for Selection of Requirements Elicitation Techniques based on the Best-Worst Method,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 11, pp. 732–738, 2021, doi: 10.14569/IJACSA.2021.0121183.
N. Fitriani, I. O. Suzanti, A. Jauhari, and A. Khozaimi, “Application Monitoring and Evaluation using SMART (Simple Multi attribute Rating Technique) Method,” J. Phys. Conf. Ser., vol. 1569, no. 2, 2020,
doi: 10.1088/1742-6596/1569/2/022090.
W. Setiawan, Nurwahid Pranoto, and Khoirul Huda, “Employee Performance Evaluation Decision Support System with the SMART (Simple Multi-Attribute Rating Technique) Method,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 4, no. 1, pp. 50–55, 2020, doi: 10.29207/resti.v4i1.1384.
M. Â. L. Moreira et al., “Evaluation of drones for public security: A multicriteria approach by the PROMETHEE-SAPEVO-M1systematic,” Procedia Comput. Sci., vol. 199, no. 2021, pp. 125–133, 2021, doi: 10.1016/j.procs.2022.01.016.
Winarno, A. Prasetyo, and A. Wijayanto, “Decision Support System for Indonesia Smart Card (KIP) Scholarship Selection Using the AHP and VIKOR Method Integrated with EKTP,” E3S Web Conf., vol. 448, pp. 1–10, 2023,
doi: 10.1051/e3sconf/202344802035.
S. Razavi et al., “The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support,” Environ. Model. Softw., vol. 137, no. December 2020, 2021,
doi: 10.1016/j.envsoft.2020.104954.