Decision Support System for the Selection of Outstanding Students Using the MAUT Method
DOI:
https://doi.org/10.64366/ijids.v3i1.542Keywords:
Outstanding Lecturer; Decision Support System (DSS); MAUT MethodAbstract
The selection of outstanding students is one of the efforts of universities in giving awards to students who have the best academic and non-academic achievements. The problem that often occurs in the selection process of outstanding students is that assessments still focus on one main criterion, namely the Cumulative Achievement Index (GPA), so that the results obtained are less objective and do not reflect the overall ability of students. Therefore, this study aims to design and implement a Decision Support System (DSS) in the selection of outstanding students by considering various assessment criteria. The method used in this study is Multi Attribute Utility Theory (MAUT), which is one of the multicriteria decision-making methods. The criteria used in the study included GPA, foreign language skills, organizational activeness, number of scientific papers, and history of taking remedial exams. The MAUT method is used to calculate the utility value of each alternative based on the weight and value of each criterion, so that student rankings are obtained objectively. The results of the study show that the implementation of DSS using the MAUT method can help the selection process of outstanding students in a more systematic and transparent manner. Based on the calculation results, the best alternative was obtained in alternative A5 on behalf of "Loli" students with a final utility value (Ui) of 2.2196, so that it was designated as an outstanding student. The resulting system is expected to be a supporting solution in making decisions about the selection of outstanding students in the university environment.
Downloads
References
S. Suendri, A. M. Harahap, A. B. Nasution, and S. Kartika, "Analysis of Decision Support System for Determining the Best Graduates Using Five Algorithms in the Information Systems Study Program of UIN North Sumatra Medan," Al-Ulum J. Science and Technology., vol. 7, no. 1, pp. 38–43, 2022, doi: 10.31602/ajst.v7i1.5839.
T. Tommy and A. M. Husein, "Student Achievement Prediction Model Based on Learning Evaluation Using a Data Science Approach," Indonesian Sci. Data., vol. 1, no. 1, pp. 14–20, 2021, doi: 10.47709/dsi.v1i1.1168.
R. Y. Simanullang and M. Mesran, "Application of Multi-Objective Optimization Method on the Basis of Ratio Analysis (MOORA) with Centroid Order (ROC) Rank Weighting in the Best Teacher Selection Decision Support System," CLICK Review. Ilm. Inform. and Compost., vol. 3, no. 5, pp. 466–475, 2023.
R. S. Hayati and S. Aliyah, "Position Promotion Decision Support System Using Multi Attribute Utility Theory Method," IT (INFORMATIC Tech. J., vol. 8, no. 2, pp. 103–111, 2021.
Y. Setiawan and S. Budilaksono, "Decision Support System for the Selection of the Best Graduate Students Using the Multi Attribute Utility Theory (Maut) Method of Inter-National Statistics," Ikraith-Informatics, vol. 6, no. 2, pp. 12–20, 2021, doi: 10.37817/ikraith-informatika.v6i2.1566.
S. Kayati, H. Yenni, and H. Asnal, "Application of the Multi Attribute Utility Theory (MAUT) Method in Decision Support Systems in Determining Superior," Inform. J. Tek. Inform. and Multimed., vol. 12, no. 2, pp. 39–46, 2022.
R. Y. Simanullang, Melisa, and Mesran, "Decision Support System for Covid 19 Assistance Recipients using the Simple Additive Weighting (SAW) Method," TIN Application. Inform. Nusant., vol. 1, no. 2, pp. 1–8, 2021.
M. A. Abdullah and R. T. Aldisa, "Implementation of the MAUT Method in the Decision Support System for the Selection of Restaurant Stock Keeper Admissions with Centroid Order Rank Weighting," Build. Informatics, Technol. Sci., vol. 4, no. 3, pp. 1422–1430, 2022, doi: 10.47065/bits.v4i3.2656.
Baskoro, Sriyanto, and L. Setya Rini, "Prediction of Scholarship Recipients Using Data Mining Techniques at the University of Muhammadiyah Pringsewu," Sem. Nas. Has. Researcher. and Service. Mass. Inst. Inform. and Darmajaya Business, vol. 1, no. 2, pp. 87–94, 2021.
L. P. Gelu, D. Nababan, and Y. P.K Kelen, "E-Voting for the Election of the Chairman of the Bem of the University of Timor Based on Mobile Using the Waterfall Method," J. Inf. Technol., vol. 2, no. 2, pp. 58–64, 2022, doi: 10.32938/jitu.v2i2.3192.
Nur, "Determination of Outstanding Students Using the WEB-Based AHP Method," (Jurnal Manaj. Inform. Sist. Information), vol. 3, no. 1, pp. 80–89, 2020.
A. Franz and S. Karim, "Application of Decision Support System for the Selection of Outstanding Students Using the Fuzzy Weighted Product (Fwp) Method," Sist. Inf., vol. 1, no. 2, pp. 67–71, 2022.
D. Maharani and A. Nata, "Comparison of Mfep and MAUT Methods in the Selection of Prospective Participants of the National Science Olympiad (OSN)," JURTEKSI (Journal of Technology. and Sist. Information), vol. 6, no. 3, pp. 247–252, 2020.
H. R. Hatta, B. Pradana, and D. M. Khairina, "Combination of Analytical Hierarchy Process (AHP) and Multi-Attribute Utility Theory (MAUT) Methods in Healthy Toddler Competition for Ages 6-24 Months," pp. 244–249, 2020.
R. N. Sari and R. S. Hayati, "The Application of the Multi Attribute Utility Theory (MAUT) Method in the Selection of Boarding House," J-SAKTI (Journal of Computer Science and Inform., vol. 3, no. 2, p. 243, 2019, doi: 10.30645/j-sakti.v3i2.144.
R. E. Putraa, N. Jufriadif, and Sumijan, "Decision on the Selection of Outstanding Lecturers Using the Multi Attribute Utility Theory (MAUT) Method," Inform. J. Tek. Inform. and Multimed., vol. 6, pp. 9–14, 2020.
R. Kariman, H. Priyanto, and H. Sastypratiwi, "Implementation of the Multi Attribute Utility Theory (MAUT) Method in the Application for the Selection of Outstanding Staff of the Pontianak City Food, Agriculture and Fisheries Office," J. Sist. and Technology. Inf., vol. 8, no. 2, p. 212, 2020, doi: 10.26418/justin.v8i2.38234.
M. Rizki, N. Rismawati, and M. Hidayah, "Decision Support System for Appointment of Intern Employees at Astra Graphia Information Technology Using a Deadly Algorithm," J. Ris. and App. Mhs. Inform., vol. 6, no. 01, pp. 135–143, 2025.
D. Tampake, M. Malau, and A. Iskandar, "Application of the Multi Attribute Utility Method (MAUT) with Centroid Order Rank Weighting (ROC) in Supporting Decisions for the Selection of Outstanding Students," J. Inf. Syst. Res., vol. 5, no. 2, 2024, doi: 10.47065/josh.v5i2.4824.
R. H. Maharrani, A. R. Supriyono, and L. Syafirullah, "Sipgang: a decision support system for industrial internship recommendations based on multi attribute utility theory (maut)," J. Education and Researchers. Inform., vol. 7, no. 3, p. 473, 2021, doi: https://pdfs.semanticscholar.org/e45b/cef6d9d073afa1ad1d8fed0b0d40bbff1514.pdf.
Erlin Windia Ambarsari, Hetty Rohayani, Ade Irma Agustina Lubis, and Ridha Maya Faza Lubis, “Decision Support System for Determining the Best Coffee Shop Applying the OCRA Method using ROC Weighting,” J. Comput. Informatics Res., vol. 3, no. 1, pp. 126–132, 2023, doi: 10.47065/comforch.v3i1.970.
R. K. Purba, M. Mesran, and R. Syahputra, “Penerapan Metode WASPAS dengan Pembobotan ROC pada Pemilihan Duta Kampus di Universitas Budi Darma,” J. Ilm. Media Sisfo, vol. 17, no. 2, pp. 212–227, 2023, doi: 10.33998/mediasisfo.2023.17.2.1392.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Decision Support System for the Selection of Outstanding Students Using the MAUT Method
ARTICLE HISTORY
How to Cite
Issue
Section
Copyright (c) 2025 Ridha Maya Faza Lubis, Mesran Mesran, Nopri Prayoga, Sindi Apri Nesya, Agus Perdana Windarto, Rizkah Fadillah, Setiawansyah Setiawansyah
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
