Sistem Pendukung Keputusan Pemilihan Peserta Olimpiade Karya Ilmiah Tingkat Nasional Menggunakan Metode SAW
DOI:
https://doi.org/10.30865/json.v3i2.3677Keywords:
Olympic Participants, Scientific work, DSS, SAWAbstract
Participants of the national level scientific work olympic are participants who will take part in competitions between one campus and another on a national basis in showing scientific works or research results with certain themes in a competition. The importance of choosing is because an olympic participant is a pride and also brings the good name of the college where they study, if you bring the wrong participant it will create new problems in assessing the quality of a university, in this study, the selection of participants for the olympic scientific work at the national level using concept of the algorithm of a decision support system using the MOORA method. The MOORA method or the abbreviation of Multi-Objective Optimization on The Basis Of Ratio Analysis is a decision support system method that has simple stages and processes in solving problems. The results of this study found the highest score with the candidate with a value of 10.93991.References
T. H. B. Aviani and A. T. Hidayat, “Sistem Pendukung Keputusan Seleksi Pemberian Uang Kuliah Tunggal Menerapkan Metode WASPAS,†J. Sist. Komput. dan Inform., vol. 2, no. 1, pp. 102–109, 2020, doi: 10.30865/json.v2i1.2482.
H. Situmorang, “Olimpiade Sains Tingkat Kabupaten Langkat Pada Madrasah Aliyah Negeri ( Man ) 2 Tanjung Pura Denganmenggunakan Metode Simple Additive Weighting ( Saw ),†vol. IV, no. 2, pp. 24–30, 2015.
D. Assrani, M. Mesran, R. D. Sianturi, Y. Yuhandri, and A. Iskandar, “Sistem Pendukung Keputusan Pemilihan Guru Produktif Peserta Pelatihan Asesor Kompetensi Lsp P1 Smk Swasta Dwiwarna Medan Menggunakan Metode the Extended Promethee Ii (Exprom Ii),†KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, 2018, doi: 10.30865/komik.v2i1.922.
S. Robo, T. Trisno, S. Sunardi, and S. Santosa, “Perencanaan strategis sistem informasi menggunakan Enterprise Architecture Planning pada PT. Karya Cipta Buana Sentosa Maumere,†Regist. J. Ilm. Teknol. Sist. Inf., vol. 4, no. 1, p. 41, 2018, doi: 10.26594/register.v4i1.1163.
M. Kurniawati, “Kajian Motivasi Belajar Mandiri Siswa Melalui Pembinaan dan Pendampingan Olimpiade Sains Nasional (OSN) Bidang Kimia pada Siswa SMA,†J. Inspirasi Pendidik., vol. 4, no. 1, pp. 446–455, 2014, [Online]. Available: eprints.uny.ac.id/12104/%0Aejournal.unikama.ac.id/index.php/jrnspirasi/article/view/388.
Assrani dkk., “Penentuan Penerima Bantuan Siswa Miskin Menerapkan Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA),†JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 2407–389X (Media Cetak), pp. 1–5, 2018.
Z. Lv and L. Qiao, “Analysis of healthcare big data,†Futur. Gener. Comput. Syst., vol. 109, pp. 103–110, 2020, doi: 10.1016/j.future.2020.03.039.
R. K. Hondro, “MABAC: Pemilihan Penerima Bantuan Rastra Menggunakan Metode Multi-Attributive Border Approximation Area Comparison,†J. Mahajana Inf., vol. 3, no. 1, pp. 41–52, 2018, [Online]. Available: http://e-journal.sari-mutiara.ac.id/index.php/7/article/view/339.
V. C. Hardita, E. Utami, and E. T. Luthfi, “Sistem Pendukung Keputusan Pemilihan Sales Terbaik,†Creat. Inf. Technol. J., vol. 5, no. 2, p. 138, 2019, doi: 10.24076/citec.2018v5i2.177.
Albi Anggito and Johan Setiawan, Metodologi Penelitian Kuantitatif. Jawa Barat: CV Jejak, 2018.
W. Penulisan and A. Ilmiah, “Setawar abdimas,†vol. 1, no. 1, pp. 1–4, 2022.
G. S. Mahendra, “Metode Ahp-Topsis Pada Sistem Pendukung Keputusan Penentuan Penempatan Atm,†JST (Jurnal Sains dan Teknol., vol. 9, no. 2, 2020, doi: 10.23887/jst-undiksha.v9i2.24592.
M. Mariko and A. Yaqin, “Sistem Pendukung Keputusan Penentuan Calon Penerima Beasiswa Prestasi di Universitas Amikom Yogyakarta,†J. Media Inform. Budidarma, vol. 3, no. 3, p. 172, 2019, doi: 10.30865/mib.v3i3.1180.
K. N. A. Nur, S. R. Andani, and P. Poningsih, “Sistem Pendukung Keputusan Pemilihan Operator Seluler Menggunakan Metode Multi-Objective Optimization on the Basis of Ratio Analysis (Moora),†KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 2, no. 1, pp. 61–65, 2018, doi: 10.30865/komik.v2i1.942.
R. D. Arista, S. Defit, and Y. Yunus, “MOORA sebagai SistemPendukung Keputusan Dalam Mengukur Tingkat Kinerja Dosen (Universitas Pembangunan Panca Budi Medan),†J. Inform. Ekon. Bisnis, vol. 2, no. 2019, pp. 104–110, 2020, doi: 10.37034/infeb.v2i4.52.
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.
Downloads
Published
How to Cite
Issue
Section
License
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).
