Penentuan Mahasiswa Berprestasi dengan Menerapkan Metode Multi Attribute Utility Theory (MAUT)
DOI:
https://doi.org/10.30865/json.v5i1.6823Keywords:
Decision Support System, Outstanding Student, MAUT MethodAbstract
Being an outstanding student in higher education is certainly a positive and proud thing. Where national education aims to develop the potential of students, in order to become educated, creative students and become democratic and responsible citizens. In determining outstanding students, there are several criteria that must be met by each student as a condition for determining outstanding students. The problem that occurs is that sometimes there are obstacles when assessing the criteria set for each prospective participant. To help the evaluation team in determining outstanding students, a decision support system is needed, sometimes experiencing obstacles when assessing the criteria set for each candidate. In the assessment carried out directly there are prospective candidates who do not meet the criteria standards but excel in other criteria. The Multi Attribute Utility Theory (MAUT) method is a quantitative comparison method used to convert several interests into numerical values on a scale of 0-1 with 0 representing the worst value and 1 the best value. The result of this research is a student determination decision that has the highest score value, namely Netralman (A1) with a utility value of 0.462.References
R. Manurung, Fitriani, Retnowati Sitanggang, F. T. Waruwu, and Fadlina, “Penerapan Metode Weighted Aggregated Sum Product Assesment ( WASPAS ) Dalam Keputusan Penerimaan Beasiswa Bidik Misi,†JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 1, pp. 148–151, 2018.
Sarwandi et al., Sistem Pendukung Keputusan, 1st ed. Medan: CV Graha Mitra Edukasi, 2023.
R. B. I. N. M Mesran, Syefudin, Sarif Surorejo, Muhammad Syahrizal, Aang Alim Murtopo, Zaenul Arif, Nugroho Adhi Santoso, Wresti Andriani, Soeb Aripin, Gunawan, Pengantar Teknologi Informasi. CV. Graha Mitra Edukasi, 2023.
T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.
D. Aldo, N. Putra, and Z. Munir, “SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA DOSEN DENGAN MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY ( MAUT ) Dasril,†J. Sist. Inf. dan Manaj., vol. 7, no. 2, 2019.
R. S. Hayati and S. Aliyah, “Promosi Jabatan Menggunakan Metode Multi Attribute Utility Theory,†IT J., vol. 8, no. 2, pp. 103–111, 2020.
D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. 2015.
D. Nofriansyah, Multi Criteria Decision Making (MCDM) Pada Sistem Pendukung Keputusan. Yogyakarta: CV.Budi Utama, 2017.
A. Perdana and A. Budiman, “Analysis of Multi-attribute Utility Theory for College Ranking Decision Making,†SinkrOn, vol. 4, no. 2, p. 19, 2020.
A. Alfiarini and Y. Primadasa, “Penerapan Metode Multi Attribute Utility Theory Untuk Menganalisa Pemberian Bantuan Raskin,†Techno.Com, 2020.
R. T. Aldisa, Sanwani, D. M. Simanjuntak, S. Laia, and Mesran, “Penerapan Metode Metode Multy Attribute Utility Theory (MAUT) dalam Pemilihan Asisten Laboratorium Komputer,†J. MEDIA Inform. BUDIDARMA, vol. 6, no. 3, pp. 1782–1788, 2022.
R. Kariman, H. Priyanto, and H. Sastypratiwi, “Implementasi Metode MAUT pada Aplikasi Pemilihan Staf Berprestasi Dinas Pangan Pertanian & Perikanan Kota Pontianak,†J. Sist. dan Teknol. Inf., vol. 8, no. 2, p. 212, 2020.
A. Triayudi, J. D. Rajagukguk, and Mesran, “Implementasi Metode MAUT Dalam Menentukan Prioritas Produk Unggulan Daerah Dengan Menerapkan Pembobotan ROC,†J. Comput. Syst. Informatics, vol. 3, no. 4, pp. 452–460, 2022.
E. Satria, N. Atina, M. E. Simbolon, and A. P. Windarto, “Spk: Algoritma Multi-Attribute Utility Theory (Maut) Pada Destinasi Tujuan Wisata Lokal Di Kota Sidamanik,†Comput. Eng. Sci. Syst. J., vol. 3, no. 2, p. 168, 2018.
A. G. Simorangkir, F. Saidah, and M. Mesran, “Penerapan Metode Maut, Copras Dan Edas Dalam Pemilihan Media Pembelajaran Online Di Masa Pandemic Covid-19,†J. Teknol. Inf. Mura, vol. 14, no. 1, pp. 46–56, 2022.
N. Hadinata, “Implementasi Metode Multi Attribute Utility Theory (MAUT) Pada Sistem Pendukung Keputusan dalam Menentukan Penerima Kredit,†J. Sisfokom (Sistem Inf. dan Komputer), vol. 7, no. 2, pp. 87–92, 2018.
T. Imandasari, A. P. Windarto, and D. Hartama, “Analisis Metode MAUT Pada Pemilihan Deodorant,†pp. 736–739, 2019.
J. H. Lubis, S. Esabella, Mesran, Desyanti, and D. M. Simanjuntak, “Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Karyawan yang di Non-Aktifkan di Masa Pandemi,†J. MEDIA Inform. BUDIDARMA, vol. 6, no. April, pp. 969–978, 2022.
D. N. Sholihaningtias, “Penerapan Kombinasi Metode MAUT dan ROC Dalam Seleksi Karyawan,†Techno. Com, vol. 22, no. 1, pp. 145–155, 2023.
M. Shanmuganathan, K. Kajendran, A. N. Sasikumar, and M. Mahendran, “Multi Attribute Utility Theory – An Over View,†Int. J. Sci. Eng. Res., vol. 9, no. 3, pp. 698–706, 2018.
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