Analisis Perbandingan Metode MOORA dan MOOSRA dalam Seleksi Siswa Unggulan
Abstract
Educational strategies in the current era really need to be developed so that the advantages that each student has can be made into superior achievements. The selection of superior student selection is very important in the education strategy with the aim of getting superior seeds that will be fostered so that they achieve even more and increase the motivation of each student. At present, most schools carry out the selection of superior students manually by taking the value of each student's report card. Selection with a large number of students sometimes makes it difficult for teachers or the school to choose who has the right to be a superior student. The results of the assessment or consideration of each teacher tend to be subjective. So that there are often misunderstandings in making the final decision in determining who is entitled to be a superior student. Therefore, a decision support system is needed that aims to make it easier to select superior students whose results will be effective. In solving the problem of selecting superior students, the author uses the MOORA method and the MOOSRA method. The results of the study prove that the comparison between the MOORA and MOOSRA methods has the same results, where the MOORA method has the highest yield in alternative 3 with a result of 0.2997 and in alternative 3 MOOSRA method with a result of 13.1548.
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References
N. P. V. D. Pertiwi, N. Landra, and N. M. D. Puspitawati, “PENGARUH KONFLIK KERJA, MOTIVASI KERJA DAN STRES KERJA TERHADAP PRESTASI KERJA KARYAWAN PADA PT. BPR NUSAMBA MANGGIS,” EMAS, vol. 3, no. 6, pp. 218–231, 2022.
M. R. Ramadhan, M. K. Nizam, and M. Mesran, “Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Siswa-Siswi Berprestasi Pada Sekolah SMK Swasta Mustafa,” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 459–471, 2021.
A. Setiadi, Y. Yunita, and A. R. Ningsih, “Penerapan metode simple additive weighting (SAW) untuk pemilihan siswa terbaik,” J. Sisfokom (Sistem Inf. dan Komputer), vol. 7, no. 2, pp. 104–109, 2018.
B. Satria et al., “Penerapan Metode Electre Sebagai Sistem Pendukung Keputusan Dalam Penerimaan Beasiswa,” Bul. Utama Tek., vol. 14, no. 3, pp. 177–182, 2019.
S. Suwarno and M. R. Muhtarom, “Sistem Pendukung Keputusan Penentuan Penilaian Siswa Dengan Metode Saw (Simple Additive Weighting),” Comput. Based Inf. Syst. J., vol. 9, no. 1, pp. 23–36, 2021.
R. Watrianthos, K. Kusmanto, E. F. S. Simanjorang, M. Syaifullah, and I. R. Munthe, “Penerapan Metode Promethee Sebagai Sistem Pendukung Keputusan Pemeringkatan Siswa,” J. Media Inform. Budidarma, vol. 3, no. 4, pp. 381–386, 2019.
S. Fadli and M. Rizqi, “Sistem Pendukung Keputusan Dalam Menentukan Siswa Baru Kelas Unggulan dengan Metode MOORA (Studi Kasus: MTs N 1 LOMBOK TENGAH),” J. Penelit. Tek. Inf., vol. 2, pp. 23–30, 2019.
A. H. Sihite, H. Maha, D. R. Sari, and R. Rahmawati, “Sistem Pendukung Keputusan Untuk Menentukan Siswa Unggulan Pada Sekolah Menengah Pertama Menerapkan Metode MOORA,” in Seminar Nasional Sains dan Teknologi Informasi (SENSASI), 2018, vol. 1, no. 1.
M. Mellyzar, S. Syafrizal, and F. W. Ginting, “Penguatan konsep kompetisi sains nasional bagi guru dan siswa unggulan di sman 7 kota lhokseumawe dan sman 2 dewantara aceh utara: bidang kimia, fisika dan kebumian,” SELAPARANG J. Pengabdi. Masy. Berkemajuan, vol. 5, no. 1, pp. 228–235, 2021.
F. Mahdi, Faisal, D. P. 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.
D. P. Indini, K. Khairunnisa, N. D. Puspa, T. A. Siregar, M. Mesran, and 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, pp. 60–66, 2021.
B. Anwar, W. Simatupang, M. Muskhir, D. Irfan, and A. H. Nasyuha, “Kombinasi Penerapan Metode WASPAS dan Rank Order Centroid (ROC) dalam Keputusan Pemilihan Teknologi Kamera Ponsel Terbaik,” Build. Informatics, Technol. Sci., vol. 4, no. 3, pp. 1431–1437, 2022, doi: 10.47065/bits.v4i3.2655.
R. Y. Simanullang, M. Melisa, and M. Mesran, “Sistem Pendukung Keputusan Penerima Bantuan Covid-19 Menggunakan Metode Simple Additive Weighting (SAW),” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 451–458, 2021.
L. Sunardi and H. O. LW, “PENERAPAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) PADA SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT BAGI UMKM DI KOTA LUBUKLINGGAU (STUDI KASUS: BANK BRI CABANG LUBUKLINGGAU),” J. Digit. Teknol. Inf., vol. 5, no. 1, pp. 1–6, 2022.
D. Sitompul, S. Sumarno, and B. E. Damanik, “Penentuan Dosen Terbaik pada Proses Belajar Mengajar di STIKOM Tunas Bangsa Pematangsiantar dengan Metode Moora,” vol. 1, no. 1, pp. 93–104, 2019.
S. Hutagalung, D. S. Gea, D. P. Indini, and Mesran, “Penerapan Metode MOORA Dalam Pemilihan Bimbingan Belajar Terbaik,” J. Informatics Manag. Inf. Technol., vol. 3, no. 1, pp. 1–7, 2023.
A. Iskandar, “Penerapan Multi-Objective Optimization by Ratio Analysis (MOORA) Dalam Penyeleksian Kelayakan Nasabah Penerima Kredit,” J. Comput. Syst. Informatics …, vol. 4, no. 1, 2022, doi: 10.47065/josyc.v4i1.2499.
J. H. Lubis, M. Mesran, S. Edrin, and A. Nasution, “Sistem Pendukung Keputusan Rekomendasi Pembelian Perumahan Menerapkan Metode MOORA,” J. Comput. Syst. Informatics, vol. 4, no. 3, 2023.
L. D. M. Sitompul, K. G. Purba, and S. Aripin, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis Dalam Seleksi Pengangkatan Karyawan Tetap,” J. Informatics Manag. Inf. Technol., vol. 3, no. 2, pp. 55–62, 2023.
H. Ekawati and Y. Yunita, “Penerapan Metode MOOSRA dalam Rekomendasi Platform Investasi Emas Online Terbaik dengan Pembobotan ROC,” J. MEDIA Inform. BUDIDARMA, vol. 7, no. 2, pp. 778–786, 2023.
B. Nanggar, P. S. Baru, S. P. Keputusan, and A. Arisman, “Sistem Pendukung Keputusan Penerimaan Siswa Baru Menggunakan Metode Moora ( Multi-Objective Optimization On The Basis Of Ratio Analysis ),” vol. 3, no. 3, pp. 73–83, 2021.
T. E. Teddy, M. L. Akbar, N. D. Puspa, and Mesran, “Penerapan Metode MOORA dan Pembobotan ROC Dalam Pemilihan Alat KB,” J. Comput. Informatics Res., vol. 2, no. 2, pp. 37–43, 2023.
A. Yusupa, J. Manullang, N. Marbun, and S. B. F. Ginting, “Decision Support System for Determining the Best PAUD Teacher Using the MOORA Method,” SAGA J. Technol. Inf. Syst., vol. 1, no. 2, pp. 50–55, 2023.
S. Chakraborty, H. N. Datta, K. Kalita, and S. Chakraborty, “A narrative review of multi-objective optimization on the basis of ratio analysis (MOORA) method in decision making,” OPSEARCH, pp. 1–44, 2023.
M. Handayani and A. Amalia, “IMPLEMENTASI METODE MOORA SEBAGAI PENDUKUNG KEPUTUSAN DALAM PEMILIHAN TENDIK TERBAIK,” J. Sci. Soc. Res., vol. 6, no. 2, pp. 388–393, 2023.
R. D. Arista, “Multi Objective Optimization in The Basic of Ratio (Moora) In Supporting Decision Making in Measuring Employee Performance Level Case Study PT. Padi Saga Utama,” Int. J. Sci. Technol. Manag., vol. 4, no. 1, pp. 204–211, 2023.
A. Safitra and R. Syahputra, “Sistem Pendukung Keputusan Penyeleksian Mekanik Menjadi Seorang SA ( Service Advisor ) Menggunakan Metode Moosra,” vol. 1, no. 2, pp. 47–53, 2021.
Y. Dorfeshan, S. M. Mousavi, V. Mohagheghi, and B. Vahdani, “Selecting project-critical path by a new interval type-2 fuzzy decision methodology based on MULTIMOORA, MOOSRA and TPOP methods,” Comput. Ind. Eng., vol. 120, pp. 160–178, 2018.
M. Mesran and F. T. Waruwu, “Comparative Analysis of MOORA and MOOSRA Methods in Determining Prospective Students Recipient of the Indonesian Smart Card (KIP),” J. Inf. Syst. Res., vol. 3, no. 4, pp. 499–506, 2022.
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