Metode Maut dan Waspas Menentukan Mahasiswa Berprestasi di Universitas Bhayangkara Jakarta Raya dengan Pembobotan ROC
-
Bernadus Gunawan Sudarsono
*
Universitas Bhayangkara Jakarta Raya,
Indonesia
- Raditya Galih Whendasmoro Universitas Bung Karno, Indonesia
Abstract
Becoming an outstanding student in higher education is a positive and proud achievement, reflecting the national education goal of developing students' potential to become educated, creative, and democratic and responsible citizens. Determining outstanding students faces obstacles when prospective candidates excel in some criteria but do not meet the standards in other criteria. To help the evaluation team, an effective decision support system is needed. The Multi-Attribute Utility Theory (MAUT) method with ROC weighting was used to convert various interests into numerical values on a scale of 0-1, with the results showing that student Erwin Sulistiono (A4) had the highest utility value, namely 0.8975. For comparison, the Weighted Aggregated Sum Product Assessment (WASPAS) method was also applied, combining the Weighted Sum Model (WSM) and the Weighted Product Model (WPM), which gave consistent results with MAUT, showing that both methods provide an objective approach in determining outstanding students, although WASPAS with ROC weighting offers higher accuracy by combining the advantages of two scoring approaches.
References
D. Maharani, “Combination of MOORA and WASPAS Methods in Selecting the Best Hafidzoh,” Int. J. Basic Appl. Sci., vol. 10, no. 2, pp. 28–35, 2021, doi: 10.35335/ijobas.v10i2.53.
T. Ardiansah, “Journal of Data Science and Information System (DIMIS) Sistem Pendukung Keputusan Menggunakan Metode WASPAS dalam Pemilihan Calon Ketua Komite Sekolah,” J. Data Sci. Inf. Syst., vol. 2, no. 1, pp. 50–58, 2024, [Online]. Available: https://doi.org/10.58602/dimis.v2i2.118.
F. Mahdi, Faisal, Dwina Pri Indini, and Mesran, “Penerapan Metode WASPAS dan ROC (Rank Order Centroid) dalam Pengangkatan Karyawan Kontrak,” Bull. Comput. Sci. Res., vol. 3, no. 2, pp. 197–202, 2023, doi: 10.47065/bulletincsr.v3i2.232.
Laurent Nababan, Roswita Daeli, Dodi Siregar, Erlin Windia Ambarsari, Setiawansyah, and Sofiansyah Fadli, “Sistem Pendukung Keputusan Rekomendasi Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA),” J. Informatics Manag. Inf. Technol., vol. 3, no. 2, pp. 35–45, 2023, doi: 10.47065/jimat.v3i2.254.
Suendri and Anggika Wardani, “Implementation of the WASPAS Method in Selection Librarian FST UIN Sumatera Utara,” J. Sist. Cerdas, vol. 7, no. 1, pp. 38–44, 2024, doi: 10.37396/jsc.v7i1.385.
J. Hutahaean and M. Badaruddin, “Sistem Pendukung Keputusan Pemilihan Sekolah SMK Swasta Penerima Dana Bantuan Menerapkan Metode Simple Additive Weighting (SAW),” J. Media Inform. Budidarma, vol. 4, no. 2, p. 466, 2020, doi: 10.30865/mib.v4i2.2109.
M. Dahria, H. Winata, I. Santoso, and S. Sobirin, “Sistem Pendukung Keputusan Menentukan Kualitas Bibit Kelapa Sawit Layak Tanam Pada PT Indah Pocan Dengan WASPAS (Weight Aggragated Sum Product Assesment),” J. Sci. Soc. Res., vol. 4, no. 2, p. 131, 2021, doi: 10.54314/jssr.v4i2.539.
J. H. Lubis and F. N. Hakim, “Penerapan Metode WASPAS (Weighted Aggregated Sum Product) dan ROC (Rank Oder Centroid) Dalam Penentuan Bimbingan Belajar Terbaik,” KLIK Kaji. Ilm. Inform. dan Komput. , vol. 3, no. 6, pp. 1031–1039, 2023, doi: 10.30865/klik.v3i6.945.
M. A. Abdullah and R. T. Aldisa, “Analisis Penerapan MOORA dan WASPAS Dalam Pendukung Keputusan Penentuan Guru Komputer Terbaik,” Kaji. Ilm. Inform. dan Komput., vol. 4, no. 1, pp. 398–406, 2023, doi: 10.30865/klik.v4i1.1163.
G. C. Setyawan, L. Legito, I. K. Dewi, D. Abdullah, and J. Hutahaean, “Penerapan Metode Entropy dan WASPAS dalam Rekomendasi Pemilihan Laptop Desain Grafis Terbaik,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 1, pp. 388–397, 2023, doi: 10.30865/klik.v4i1.1165.
M. A. Abdullah and R. T. Aldisa, “KLIK: Kajian Ilmiah Informatika dan Komputer Penerapan Metode MAUT Dalam Rekrutmen Kepala Gudang di Perusahaan Dengan Pembobotan ROC,” Klik Kaji. Ilm. Inform. Dan Komput., vol. 4, no. 2, pp. 1073–1079, 2023, doi: 10.30865/klik.v4i2.1323.
J. Hutahaean, Z. Azhar, N. Mulyani, I. S. P. Sihite, and ..., “Penerapan Sistem Pendukung Keputusan Dalam Penerimaan Sales Internet Provider Dengan Menggunakan Metode WASPAS dan Pembobotan ROC,” … Ilm. Inform. dan …, vol. 4, no. 3, pp. 1362–1368, 2023, doi: 10.30865/klik.v4i3.1355.
D. Ayu Ambarsari, A. Suryadi, C. Adiwiharja, and S. Suharyanto, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode Analytic Hierarchy Process,” JATI (Jurnal Mhs. Tek. Inform., vol. 8, no. 2, pp. 2091–2096, 2024, doi: 10.36040/jati.v8i2.9359.
A. Pradana, L. Manik, and M. Syahrizal, “Implementasi Metode MAUT Dalam Pemilihan Aplikasi Pembuatan Media Pembelajaran Dimasa Pandemi Covid 19,” J. Informatics, Electr. Electron. Eng., vol. 3, no. 1, pp. 173–180, 2023, doi: 10.47065/jieee.v3i1.1609.
S. Situmorang and R. T. Aldisa, “Sistem Pendukung Keputusan Pemilihan Leader Terbaik Menerapkan Menggunakan Metode Multi-Atribute Utility Theory ( MAUT ),” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 4, pp. 2088–2095, 2024, doi: 10.30865/klik.v4i4.1733.
D. V. Laia and R. T. Aldisa, “Penerapan Metode Multi-Arttribute Utilily Theory ( MAUT ) Dan Rank Order Centroid ( ROC ) Dalam Pemilihan Bidan Terbaik Puskesmas,” vol. 4, no. 4, pp. 2129–2138, 2024, doi: 10.30865/klik.v4i4.1732.
S. Lutfiah, B. Priyatna, A. L. Hananto, and E. Novalia, “SATPOL PP Performance Assessment Using the WASPAS Method in Decision Making Effectiveness,” vol. 4, no. 5, pp. 2398–2409, 2024, doi: 10.30865/klik.v4i5.1739.
S. Sunardi, R. Umar, and D. S. Nasution, “Analisis Penilaian Kinerja Karyawan Menggunakan Metode WASPAS,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 3, p. 697, 2022, doi: 10.30865/jurikom.v9i3.4168.
W. Kartika Murti and A. Triayudi, “Penentuan Mahasiswa Berprestasi dengan Menerapkan Metode Multi Attribute Utility Theory (MAUT),” J. Sist. Komput. dan Inform. Hal 122−, vol. 130, no. 1, pp. 122–130, 2023, doi: 10.30865/json.v5i1.6823.
Y. F. Hutahaean and M. Harahap, “Sistem Pendukung Keputusan Rekrutmen Tenaga Kerja Honorer Implementasi Metode Maut Pada Dinas Perkebunan Provinsi Sumatera Utara,” J. Media Inform., vol. 3, no. 2, pp. 79–91, 2022, doi: 10.55338/jumin.v3i2.276.
S. Ujud, T. D. Nur, Y. Yusuf, N. Saibi, and M. R. Ramli, “Penerapan Model Pembelajaran Discovery Learning Untuk Meningkatkan Hasil Belajar Siswa Sma Negeri 10 Kota Ternate Kelas X Pada Materi Pencemaran Lingkungan,” J. Bioedukasi, vol. 6, no. 2, pp. 337–347, 2023, doi: 10.33387/bioedu.v6i2.7305.
Kusmanto, K., Esabella, S., Karim, A., Nasution, M. B. K., & Hidayatullah, M. (2025). Studi Perbandingan Metode Dempster-Shafer dan Teorema Bayes dalam Sistem Pakar Diagnosa Penyakit Sistem Pernapasan.
Karim, A., Ambarsari, E. W., & Windarto, A. P. (2024). Decision Support System for Determining the Best School Extracurricular Activities by Combining the ROC and MAUT Methods. Journal of Computing and Informatics Research, 3(3), 232-241.
Copyright (c) 2025 Bernadus Gunawan Sudarsono, Raditya Galih Whendasmoro
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).
.png)
.png)
