Comparative Analysis of OCRA and MAUT Method in Decision Support System for Determining Outstanding Students
DOI:
https://doi.org/10.64366/ijids.v2i1.67Keywords:
Decision Support System; Outstanding Students; OCRA Method; MAUT MethodAbstract
Achieving students are students who have achieved high achievements, both curricular and co-curricular in accordance with the required criteria. At this time the data processing process for determining outstanding student candidates has used a manual system, allowing errors to occur in the process of processing outstanding student selection data. The value processing process takes a long time, especially in the determination process and ranking process. The decision support system is the right system to implement, because the decision support system can help determine which alternative to choose. The method used in this research uses the OCRA (Operational Competitiveness Rating Analysis) method and the MAUT (Multi Attribute Utility Theory) method. In this study, the criteria of GPA, written work, superior achievements/abilities, and English language skills are used. Every student has the same right to participate in the outstanding student selection program. Therefore, the selection of outstanding students should be carried out openly and transparently at the university level. However, this implementation can lead to a large number of applicants which can cause difficulties in managing data and values in determining outstanding students. The concept of a decision support system can be applied as a tool in determining outstanding students.
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N. N. K. Sari and V. H. Pranatawijaya, “Sistem informasi mahasiswa berprestasi universitas palangka raya berbasis website,” J. Teknol. Inf. J. Keilmuan dan Apl. Bid. Tek. Inform., vol. 15, no. 2, pp. 141–151, 2021.
N. Tou, P. M. Endraswari, and Y. S. R. Nur, “Pemilihan Mahasiswa Berprestasi Menggunakan Algoritma AHP (Studi Kasus: Fakultas Teknik UBB),” JIKA (Jurnal Inform., vol. 7, no. 1, pp. 46–53, 2023.
N. Tou, P. M. Endraswari, and Y. S. R. Nur, “Pemilihan Mahasiswa Berprestasi Menggunakan Metode AHP pada Fakultas Teknik Ubb,” JIKA (Jurnal Inform., vol. 7, no. 1, pp. 46–53, 2023.
C. I. Safitri, D. Darmansah, O. V TU, and ..., “Sistem Pendukung Keputusan Penentuan Mahasiswa Berprestasi di Institut Teknologi Telkom Purwokerto Menggunakan Metode Naïve Bayes Classifier,” Conf. …, 2019.
N. Oktari, M. Mesran, D. P. Utomo, S. Aripin, and A. Karim, “Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) Dalam Penerimaan Karyawan Perjanjian Kerja Waktu Tertentu (PKWT),” J. Inf. Syst. Res., vol. 3, no. 3, pp. 218–226, 2022.
M. A. Abdullah and R. T. Aldisa, “Implementasi Metode MAUT dalam Sistem Pendukung Keputusan Seleksi Penerimaan Stock Keeper Restoran dengan Pembobotan Rank Order Centroid,” Build. Informatics, Technol. Sci., vol. 4, no. 3, pp. 1422–1430, 2022, doi: 10.47065/bits.v4i3.2656.
D. Aldo, N. Putra, and Z. Munir, “Sistem Pendukung Keputusan Penilaian Kinerja Dosen Dengan Menggunakan Metode Multi Attribute Utility Theory (Maut),” JURSIMA (Jurnal Sist. Inf. dan Manajemen), vol. 7, no. 2, pp. 76–82, 2019.
A. H. Nasyuha, Z. Zulkifli, I. Purnama, A. Sidabutar, A. Karim, and M. Mesran, “Sistem Pendukung Keputusan Penentuan Kerani Timbang Lapangan Terbaik Menerapkan Metode Operational Competitiveness Rating Analysis (OCRA),” J. Media Inform. Budidarma, vol. 6, no. 1, p. 355, 2022, doi: 10.30865/mib.v6i1.3475.
A. Karim, S. Esabella, K. Kusmanto, M. Mesran, and U. Hasanah, “Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC),” J. Media Inform. Budidarma, vol. 5, no. 4, pp. 1674–1687, 2021.
D. P. Indini, K. Khairunnisa, N. D. Puspa, T. A. Siregar, and M. Mesran, M.Kom, “Penerapan Metode OCRA dalam Menentukan Media Pembelajaran Online Terbaik di Masa Pandemi Covid-19 dengan Pembobotan ROC,” J. Sist. Komput. dan Inform., vol. 3, no. 2, p. 60, 2021, doi: 10.30865/json.v3i2.3576.
A. Rifqi and R. T. Aldisa, “Analisa Perbandingan Metode MAUT dan Metode TOPSIS Dengan Menggunakan Pembobotan ROC Dalam Sistem Pendukung Keputusan Pemilihan Calon Kepala Desa,” J. Inf. Syst. Res., vol. 4, no. 4, pp. 1413–1422, 2023, doi: 10.47065/josh.v4i4.3829.
M. H. Lubis, S. Kom, M. Kom, and S. P. Akhir Abadi Tanjung, Sistem Pendukung Keputusan. Deepublish, 2022.
D. Pribadi, R. A. Saputra, and J. M. Hudin, “Sistem Pendukung Keputusan,” 2020.
N. Umar, “Sistem Pendukung Keputusan,” 2023.
A. T. Hidayat, N. K. Daulay, and Mesran, “Penerapan Metode Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) dalam Pemilihan Wiraniaga Terbaik,” J. Comput. Syst. Informatics, vol. 1, no. 4, pp. 367–372, 2020.
S. A. Panjaitan, “Sistem Pendukung Keputusan Perekrutan Internal Audit Officer (Audit) Menerapkan Kombinasi Metode AHP dan MABAC,” TIN Terap. Inform. Nusant., vol. 2, no. 12, pp. 710–720, 2022.
D. M. Pagan and M. Syahrizal, “Penerapan WASPAS Dalam Mendukung Keputusan Penerima Beasiswa Mahasiswa Berprestasi,” TIN Terap. Inform. Nusant., vol. 1, no. 1, pp. 8–13, 2020.
E. K. Nurhasanah, S. Abadi, and P. Sukamto, “Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Simple Additive Weighting,” TEKNOSAINS J. Sains, Teknol. Dan Inform., vol. 7, no. 2, pp. 107–118, 2020.
R. R. Dilla and D. P. Utomo, “Sistem Pendukung Keputusan Pemilihan Mekanik Terbaik Menggunakan Metode Operational Competitiveness Rating Analysis (OCRA) Studi Kasus: Auto2000,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 5, no. 1, 2021.
S. S. Hasibuan, “Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) Dalam Keputusan Rekomendasi Mutasi Jabatan Karyawan,” Bull. Data Sci., vol. 1, no. 1, pp. 1–8, 2021.
N. KUNDAKCI, “A comparative analyze based on EATWOS and OCRA methods for supplier evaluation,” Alphanumeric J., vol. 7, no. 1, pp. 103–112, 2019.
D. M. S. Tanjung, R. Al-Adawiyah, and I. Saputra, “Implementasi Metode OCRA Penentuan Dosen Terbaik Dimasa Pandemi Covid-19,” J. Informatics, Electr. Electron. Eng., vol. 3, no. 1, pp. 146–152, 2023.
A. I. Abdurrahman, “Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemetaan Tingkat Dampak Bencana Banjir Di Kabupaten Bantul,” TELEMATIKA, vol. 17, no. 1, 2020.
W. Apriani, “Sistem Pendukung Keputusan Pemilihan Pimpinan Dengan Metode Multi Attribute Utility Theory (Maut) Di Pt.Sagami Indonesia,” Mantik, vol. 3, no. 2, pp. 10–20, 2019, [Online]. Available: https://iocscience.org/ejournal/index.php/mantik/article/view/117/126
S. F. Pantatu and I. C. R. Drajana, “Sistem Pendukung Keputusan Penerima Bantuan UMKM Menggunakan Metode MAUT,” J. Nas. Komputasi dan Teknol. Inf., vol. 5, no. 2, pp. 317–325, 2022.
N. T. L. Toruan, “Sistem Pendukung Keputusan Pemilihan Pembawa Acara Berita Terbaik Menerapkan Metode OCRA,” Bull. Comput. Sci. Res., vol. 1, no. 3, pp. 71–78, 2021.
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Copyright (c) 2024 Irvan Siahaan, Mesran Mesran, Ridha Maya Faza Lubis, Hetty Rohayani
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