Kombinasi Metode Multi-Attribute Utility Theory dan Pivot Pairwise Relative Criteria Importance Assessment Dalam Penentuan Lulusan Terbaik

 (*)Ainaya Qintan Maharani Mail (Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia)
 Temi Ardiansah (Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia)

(*) Corresponding Author

Submitted: October 8, 2023; Published: October 31, 2023


The determination of the best graduates at SMK YPT Pringsewu is determined based on the average score, achievement, and report card score. By using this assessment, the school takes a long time with a large number of prospective graduates to complete and select all prospective graduates and determine the best graduates. So it requires a recommendation system in determining the best graduates, one of the recommendation systems for determining the best graduates is a decision support system. With the decision support system for determining the best graduates, it will speed up the process of determining the best graduates because it uses a computerized system. This study aims to develop a decision support system that applies the MAUT method and the PIPRECIA method in determining the best graduation in school and develop an objective system or approach to assess and rank the best graduates based on relevant criteria and preferences set by researchers or related parties. PIPRECIA and MAUT methods are used to overcome complexities in multi-criteria decision making and help select the best graduates effectively. The results of determining the best graduate students using the MAUT method and PIPRECIA recommended Mareta Amelia as the best graduate student in school because the final ranking results got Rank 1 with a total score of 0.642. The overall results for testing using the blackbox testing model with results are 100% in accordance with the functionality of the system for the determination of the best graduates.


Graduates; MAUT Method; PIPRECIA; Recommendations; Best Student

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E. Adamides and N. Karacapilidis, “Information technology for supporting the development and maintenance of open innovation capabilities,” J. Innov. Knowl., vol. 5, no. 1, pp. 29–38, 2020.

S. L. Pan and S. Zhang, “From fighting COVID-19 pandemic to tackling sustainable development goals: An opportunity for responsible information systems research,” Int. J. Inf. Manage., vol. 55, p. 102196, 2020.

M. Khaibar, “Sistem Pendukung Keputusan Penentuan Mahasiswa Lulusan Terbaik Menggunakan Metode Analytical Hierarchy Process pada Universitas Sari Mutiara Indonesia,” J. Inf. Technol. Softw. Eng. Netw., vol. 1, no. 1, pp. 9–17, 2022.

B. F. Pallah, A. J. Latipah, and A. Rahim, “Penerapan Metode AHP-WP Dalam Penentuan Lulusan Terbaik Profesi Ners UMKT,” J. Tika, vol. 8, no. 2, pp. 124–131, 2023.

F. Psarommatis and D. Kiritsis, “A hybrid Decision Support System for automating decision making in the event of defects in the era of Zero Defect Manufacturing,” J. Ind. Inf. Integr., vol. 26, p. 100263, 2022.

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.

O. Kabadurmus, Y. Kayikci, S. Demir, and B. Koc, “A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks,” Socioecon. Plann. Sci., vol. 85, p. 101417, 2023.

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, 2022.

S. Sundari, M. N. Fadli, D. Hartama, A. P. Windarto, and A. Wanto, “Decision Support System on Selection of Lecturer Research Grant Proposals using Preferences Selection Index,” in Journal of Physics: Conference Series, 2019, vol. 1255, no. 1, p. 12006.

P. Rani, R. Kumar, N. M. O. S. Ahmed, and A. Jain, “A decision support system for heart disease prediction based upon machine learning,” J. Reliab. Intell. Environ., vol. 7, no. 3, pp. 263–275, 2021.

I. M. Jiskani, Q. Cai, W. Zhou, X. Lu, and S. A. A. Shah, “An integrated fuzzy decision support system for analyzing challenges and pathways to promote green and climate smart mining,” Expert Syst. Appl., vol. 188, p. 116062, 2022.

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.

Z. Allah Bukhsh, I. Stipanovic, and A. G. Doree, “Multi-year maintenance planning framework using multi-attribute utility theory and genetic algorithms,” Eur. Transp. Res. Rev., vol. 12, no. 1, pp. 1–13, 2020.

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.

J. Kwon et al., “Systematic Review of the Psychometric Performance of Generic Childhood Multi-attribute Utility Instruments,” Appl. Health Econ. Health Policy, pp. 1–26, 2023.

M. H. Sadeghiravesh, H. Khosravi, and A. Abolhasani, “Selecting proper sites for underground dam construction using Multi-Attribute Utility Theory in arid and semi-arid regions,” J. Mt. Sci., vol. 20, no. 1, pp. 197–208, 2023.

F. A. AlFaraidy, K. S. Teegala, and G. Dwivedi, “Selection of a Sustainable Structural Floor System for an Office Building Using the Analytic Hierarchy Process and the Multi-Attribute Utility Theory,” Sustainability, vol. 15, no. 17, p. 13087, 2023.

D. Stanujkic, D. Karabasevic, G. Popovic, and C. Sava, “Simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) method,” Rom. J. Econ. Forecast., vol. 24, no. 4, p. 141, 2021.

A. Blagojević, Ž. Stević, D. Marinković, S. Kasalica, and S. Rajilić, “A novel entropy-fuzzy PIPRECIA-DEA model for safety evaluation of railway traffic,” Symmetry (Basel)., vol. 12, no. 9, p. 1479, 2020.

Ž. Stević et al., “Assessment of causes of delays in the road construction projects in the Benin Republic using fuzzy PIPRECIA method,” Math. Probl. Eng., vol. 2022, pp. 1–18, 2022.

D. Stanujkic, D. Karabasevic, and G. Popovic, “RANKING ALTERNATIVES USING PIPRECIA METHOD: A CASE OF HOTELS’WEBSITE EVALUATION,” J. Process Manag. new Technol., vol. 9, no. 3–4, pp. 62–68, 2021.

S. Setiawansyah, “Kombinasi Pembobotan PIPRECIA-S dan Metode SAW dalam Pemilihan Ketua Organisasi Sekolah,” J. Ilm. Inform. dan Ilmu Komput., vol. 2, no. 1, pp. 32–40, 2023.

Ž. Stević, Ž. Stjepanović, Z. Božičković, D. K. Das, and D. Stanujkić, “Assessment of conditions for implementing information technology in a warehouse system: A novel fuzzy piprecia method,” Symmetry (Basel)., vol. 10, no. 11, p. 586, 2018.

A. Karim, S. Esabella, T. Andriani, and M. Hidayatullah, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dalam Penentuan Lulusan Mahasiswa Terbaik,” Build. Informatics, Technol. Sci., vol. 4, no. 1 SE-Articles, Jun. 2022, doi: 10.47065/bits.v4i1.1630.

S. Suendri, A. M. Harahap, A. B. Nasution, and S. Kartika, “Analisis Sistem Pendukung Keputusan Penentuan Lulusan Terbaik Menggunakan Lima Algoritma Pada Program Studi Sistem Informasi UIN Sumatera Utara Medan,” AL ULUM J. SAINS DAN Teknol., vol. 7, no. 1, 2022.

Y. Setiawan and S. Budilaksono, “Sistem Pendukung Keputusan Pemilihan Mahasiswa Lulusan Terbaik Dengan Menggunakan Metode Multi Attribute Utility Theory (Maut) DiStmik Antar Bangsa,” IKRA-ITH Inform. J. Komput. dan Inform., vol. 6, no. 2, pp. 12–20, 2022.

A. Aldiannur, A. J. Latipah, and A. Arbansyah, “PENERAPAN ALGORITMA MAUT DALAM MENENTUKAN LULUSAN TERBAIK PROFESI NERS UMKT: Application Of Maut Algorithm In Determining The Best Graduates Of The UMKT Ners Profession,” J. Sains Komput. dan Teknol. Inf., vol. 5, no. 2 SE-Articles, pp. 54–58, Jun. 2023, doi: 10.33084/jsakti.v5i2.5009.

S. Setiawansyah, “Sistem Pendukung Keputusan Rekomendasi Tempat Wisata Menggunakan Metode TOPSIS,” J. Ilm. Inform. dan Ilmu Komput., vol. 1, no. 2, pp. 54–62, 2022, doi: 10.53513/jursi.v1i3.5269.

N. Nuroji, “Penerapan Multi-Attribute Utility Theory (MAUT) Dalam Penentuan Pegawai Terbaik,” J. Ilm. Inform. dan Ilmu Komput., vol. 1, no. 2, pp. 46–53, 2022.

T. A. Lamaluta, C. E. J. C. Montolalu, A. L. Kalua, M. I. Takaendengan, and V. Y. G. Montolalu, “Web-Based School Information System in Permata Hati Speacial School for Autism Manado,” J. Ilm. Inform. dan Ilmu Komput., vol. 2, no. 2, pp. 65–74, 2023.

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