Determination of The Best Wrestling Athletes to Participate in The Prapon National Championship Using The Moosra Method

Authors

  • Julia Purnama Sari Information Systems Study Program, Faculty of Engineering, University of Bengkulu
  • Fepy Supriani Civil Engineering Study Program, Faculty of Engineering, University of Bengkulu
  • Dwi Rina Utami Architecture Study Program, Faculty of Engineering, University of Bengkulu

DOI:

https://doi.org/10.70656/ijcse.v3i02.937

Keywords:

Wrestling, Decision Support System, MOOSRA, PraPON

Abstract

In the national-level competition, each province needs to prepare its best athletes to compete in the PraPON national championships. At the Bengkulu Province Student Training and Education Center (PPLP), the selection process for the best wrestling athletes to participate in the PraPON national championships still relies on manual observation and evaluation by wrestling coaches. This results in the selection of the best wrestler being less structured and objective. The athlete selection process also involves multiple criteria, making a decision support system necessary to ensure that the selection results are more objective, quick, and efficient for all athletes who will compete in the PraPON national championships. The aim of this research is to determine the best wrestling athlete to participate in the PraPON national championships in an objective and accurate manner. The method used in this research is the MOOSRA method (Multiobjective Optimization on the Basis of Simple Ratio Analysis). MOOSRA is a decision support system method that is easy to understand and follows a systematic process, making it simple to implement. The results of this research can assist in making decisions to select the best wrestler for the PraPON national championships using the MOOSRA method. From the calculations using the MOOSRA method, the decision was made that the first ranking goes to Debi Ardianto with the highest preference score of 25.1. Meanwhile, the last ranking goes to Septo Dwi Cahyo, who received the lowest preference score among all alternatives, which is 13.52.

Downloads

Download data is not yet available.

References

[1] Gustiawan, “Indonesion Journal of Sport Science and Coaching Survei Program Latihan Atlet Gulat Kabupaten Kerinci Kerinci District Wrestling Athlete Training Program Survey olahraga yang berhadapan dengan menggunakan anggota tubuh , berusaha untuk,” vol. 03, no. 02, pp. 22–28, 2021.

[2] R. Kembara, F. P. Hidasari, M. Fachrurrozi Bafadal, and A. Triansyah, “Hubungan power tungkai dan kelentukan terhadap bantingan lengan pada pegulat putra,” Sport. J. Phys. Educ. Sport Recreat., vol. 6, no. 2, p. 132, 2022, doi: 10.26858/sportive.v6i2.37100.

[3] F. Meilida, “Sistem Pendukung Keputusan Seleksi Atlet Pon Cabang Pencak Silat Menerapkan MOOSRA,” Bull. Comput. Sci. Res., vol. 1, no. 3, pp. 93–100, 2021.

[4] P. M. Sitanggang, Mesran, and K. Siregar, “Analisis Metode MOORA dan MOOSRA Dalam Pemilihan Peserta Olimpiade Matematika,” RESOLUSI Rekayasa Tek. Inform. dan Inf., vol. 3, no. 1, pp. 6–16, 2022, doi: 10.47065/bits.v3i4.1238.

[5] J. P. Sari and M. Yusa, “Penentuan Karyawan Terbaik Pada Collection PT. PANIN Bank Menggunakan Metode SMART,” Pseudocode, vol. 7, no. 2, pp. 157–164, 2020, doi: 10.33369/pseudocode.7.2.157-164.

[6] I. Gede Iwan Sudipa et al., Sistem Pendukung Keputusan. 2022.

[7] Sawitri, A. Nabila, and Mesran, “Penerapan Metode Multi-Objective Optimization on the Basis of Ratio Analysis dalam Pemilihan Teknisi Mesin Kompressor Terbaik,” J. Mach. Learn. Data Anal., vol. 1, no. 2, pp. 76–82, 2022.

[8] D. Hardiyanti, “Sistem Pendukung Keputusan Pemilihan Atlet Renang Sumatera Utara Untuk Kejuaraan Tingkat Nasional dengan Metode ARAS Dan ROC,” J. Informatics, Electr. Electron. Eng., vol. 1, no. 4, pp. 135–143, 2022.

[9] Nazrul Azizi, Bella Putri Cahyani, Hetty Rohayani, Jasmir, Yuwan Jumaryadi, and Jeperson Hutahaean, “Penerapan Metode MOOSRA dan ROC dalam Penentuan Guru Terbaik,” J. Informatics Manag. Inf. Technol., vol. 3, no. 2, pp. 46–54, 2023, doi: 10.47065/jimat.v3i2.255.

[10] A. Karim, S. Esabella, T. Andriani, and M. Hidayatullah, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dalam Penentuan Lulusan Mahasiswa Terbaik,” Build. Informatics, Technol. Sci., vol. 4, no. 1, pp. 162–168, 2022, doi: 10.47065/bits.v4i1.1630.

[11] M. A. Abdullah and R. T. Aldisa, “Sistem Pendukung Keputusan Perbandingan Metode MOORA Dengan MOOSRA Dalam Pemilihan Hair Stylish,” J. Sist. Komput. dan Inform. Hal 131−, vol. 140, no. 1, pp. 131–140, 2023, doi: 10.30865/json.v5i1.6824.

[12] F. Saidah, E. Pratiwi, and N. Hasibuan, “Sistem Pendukung Keputusan Penerapan Metode MOOSRA Rekrutmen PPNPN Pada Kantor Pertanahan Kota Medan,” Pros. SNASTIKOM Semin. Nas. Teknol. Inf. Komun. Pap., vol. 09, pp. 89–97, 2022.

[13] Lulu Dia Marito Sitompul, Keti Gabryriel 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, doi: 10.47065/jimat.v3i2.253.

Downloads

Published

2026-11-05

How to Cite

Sari, J. P., Supriani, F., & Utami, D. R. (2026). Determination of The Best Wrestling Athletes to Participate in The Prapon National Championship Using The Moosra Method. Indonesian Journal of Computer Science and Engineering, 3(02), 47–51. https://doi.org/10.70656/ijcse.v3i02.937