Analisis Multi Kriteria Multi-Criteria Analysis Using Multi-Attribute Utility Theory in Selection of Scholarship Recipients

  • Fitri Handayani Universitas Amikom Yogyakarta
Keywords: Scholarship, Multi Criteria, Multi Attribute Utility Theory, Kampar Polytechnic, Decision Support System

Abstract

Abstract

 Politeknik Kampar is a vocational college in Kampar Regency, Riau Province. Determination of scholarship recipients at universities is still manual and takes a long time to make the right decisions. These problems can be analyzed using the Multi Attribute Utility Theory (MAUT) decision support system method so that the decision-making process can be carried out more quickly. Where the analysis of the MAUT method is suitable for many criteria. The assessment criteria used consisted of 10 criteria including parental income, home ownership status, housing conditions, number of dependents, parental status, report cards, academic achievements, non-academic achievements, extracurricular activities and organizational experience with a total of 50 datasets. The research process consists of scientific literature, problem identification, data collection, MAUT method analysis, ranking and drawing conclusions. The results of research using the MAUT method can help the scholarship recipient selection team with a fast, effective and objective process in the decision-making process.

References

[1] P. Hasan, E. Utami, S. Yunita, E. Pawan, dan Kaharuddin, “Selection of Scholarship Acceptance Using AHP and TOPSIS Methods,” Int. Conf. Inf. Commun. Technol., hal. 920–925, 2019.
[2] E. Putra, S. Hidayatuloh, P. T. Nguyen, K. Sasmita, dan M. C. Wibowo, “Decision Support System for Proposing Scholarship Recipients to Best Students using SAW,” Int. J. Control Autom., no. January, 2020.
[3] A. Rohman, I. Arif, I. Harianti, dan A. S. Hidayat, “ID3 Algorithm Approach For Giving Scholarships,” J. Phys. Coference Adv. Sci. Innov., 2019.
[4] T. Noviyanti, “Sistem Pendukung Keputusan Dalam Penerimaan Beasiswa PPA Menggunakan Metode Analytic Hierarchy Process (AHP) (Studi Kasus: Universitas Gunadarma),” J. Ilm. Teknol. dan Rekayasa, vol. 24, hal. 35–45, 2019.
[5] E. Turban, J. E. Aronson, dan T. Liang, Decision Support Systems and Intelligent Systems, 7th Editio. New Delhi: Prentice-Hall, 2007.
[6] Mihuandayani, R. Arundaa, dan V. Tamuntuan, “Decision Support System for Employee Recruitment of A Company Using Multi Attribute Utility Theory,” ICORIS, 2020.
[7] Ramadiani, H. R. Hatta, N. Novita, dan Azainil, “Comparison of Two Methods Between TOPSIS and MAUT In Determining BIDIKMISI Scholarship,” Int. Conf. Informatics Comput., no. 432, hal. 1–6, 2018.
[8] Z. A. Bukhsh, I. Stipanovic, G. Klanker, A. O. Connor, dan A. G. Doree, “Network Level Bridges Maintenance Planning Using Multi-Attribute Utility Theory,” Struct. Infrastruct. Eng., vol. 2479, hal. 1–14, 2019.
[9] P. Kailiponi, “Procedia Engineering Analyzing Evacuation Decisions Using Multi-Attribute Utility Theory,” Procedia Eng., vol. 3, hal. 163–174, 2010.
Published
2022-03-16