Selection of the Best Swimming Athletes using MCDM-AHP and VIKOR Methods

Authors

  • Akmaludin Akmaludin STMIK Nusa Mandiri Jakarta
  • Sidik Sidik Universitas Nusa Mandiri, Jakarta, Indonesia
  • Nandang Iriadi Universitas Nusa Mandiri, Jakarta, Indonesia
  • Andi Arfian Universitas Bina Sarana Informatika, Jakarta, Indonesia
  • Adhi Dharma Surianto Universitas Bina Sarana Informatika, Jakarta, Indonesia

DOI:

10.33395/sinkron.v6i1.10998

Keywords:

Athlete, AHP, Plyometrics, Swimming style, VIKOR.

Abstract

The process of selecting the best swimming athletes is carried out in several test stages, the first is the ability in the four basic swimming styles which often contested in international competitions and the second test is the basic physical abilities possessed by a number of swimming athletes. The tests related to the swimming style consist of breaststroke swimming, butterfly swimming, backstroke swimming and crawlstroke swimming, while the plyometrics test consists of banded knee jump, squat jump, jump to side, and dept jump, Due to the large number of selections, a test is required for every athlete. The purpose of this selection is to find the best swimming athletes who will be competed in the international swimming class event. The nine athletes of millenium aquatic swimming club that were selected previously, they are the forerunners of the selected swimming athletes and will be evaluated on a representative basis, which is the best among the nine athletes. The method used in the evaluation and selection process uses two continuous methods, namely the AHP and VIKOR methods. From the results selection assessment, it was found that the best three of the nine nominations selected, the first position selected was AT2 with an index 0.00, the second position was AT8 with an index 0.25 and the third position was AT7 with an index 0.61. Thus it can be concluded that the AHP and VIKOR methods can be used as decision support to determine optimally in the optimal selection process for swimming athletes.

GS Cited Analysis

Downloads

Download data is not yet available.

References

Alonso, J. A., & Lamata, M. T. (2006). Consistency in the analytic hierarchy process: a new approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 14(4), 445–459. https://doi.org/10.1142/S0218488506004114

Annisa, S. (2020). Kegiatan olahraga aktivitas air. SMAN 3 Medan, 1(1), 1–17.

Brugha, C. M. (2004). Structure of multi-criteria decision-making. Journal of the Operational Research Society, 55(11), 1156–1168. https://doi.org/10.1057/palgrave.jors.2601777

Dincer, H., & Hacioglu, U. (2013). Performance evaluation with fuzzy VIKOR and AHP method based on customer satisfaction in Turkish banking sector. Kybernetes, 42(7), 1072–1085. https://doi.org/10.1108/K-02-2013-0021

Ghaleb, A. M., Kaid, H., Alsamhan, A., Mian, S. H., & Hidri, L. (2020). Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process. Advances in Materials Science and Engineering, 2020. https://doi.org/10.1155/2020/4039253

Haji, M., Kamankesh, M. R., Jamshidi, M., Daghineh, M., & Shaltooki, A. A. (2019). A multi-criteria ranking algorithm based on the VIKOR method for meta-search engines. International Journal on Informatics Visualization, 3(3), 248–254. https://doi.org/10.30630/joiv.3.3.269

Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Pre Print Vertion, 38(11), 14336–14345. https://doi.org/10.1016/j.eswa.2011.04.143

Mardani, A., Zavadskas, E. K., Govindan, K., Senin, A. A., & Jusoh, A. (2016). VIKOR technique: A systematic review of the state of the art literature on methodologies and applications. Sustainability (Switzerland), 8(1), 1–38. https://doi.org/10.3390/su8010037

Pendidikan, F., & Dan, O. (2016). Pengaruh Latihan Plyometrics Terhadap. 01(01), 6–11.

Priana, A. (2019). Pengaruh Alat Bantu Latihan Pull Buoy Terhadap Prestasi Renang Gaya Dada. Journal of SPORT (Sport, Physical Education, Organization, Recreation, and Training), 3(1), 9–14. https://doi.org/10.37058/sport.v3i1.745

Ramezaniyan, M. R., Kazemi, M., Jafari, H., & Elahi, S. M. (2012). Application of integrated fuzzy VIKOR & AHP methodology to contractor ranking. Management Science Letters, 2(5), 1511–1526. https://doi.org/10.5267/j.msl.2012.05.017

Rasyid, H. Al, Setyakarnawijaya, Y., & Marani, I. N. (2017). Hubungan Kekuatan Otot Tungkai Dan Kekuatan Otot Lengan Dengan Hasil Renang Gaya Bebas 50 Meter Pada Atlet Millennium Aquatic Swimming Club. Jurnal Ilmiah Sport Coaching and Education, 1(1), 71–85. https://doi.org/10.21009/jsce.01106

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/IJSSCI.2008.017590

Sasanka, C. T., & Ravindra, K. (2015). Implementation of VIKOR Method for Selection of Magnesium Alloy to Suit Automotive Applications. International Journal of Advanced Science and Technology, 83, 49–58.

Shava, I., Kusuma, D. W. Y., & Rustiadi, T. (2017). Latihan Plyometrics dan Panjang Tungkai terhadap Kecepatan Renang Gaya Dada Atlet Renang Sumatera Selatan. Physical Education and Sports, 6(3), 266–271.

The, F. O. R., Person, L. A. Y., & Lipovetsky, S. (1936). An Interpretation Of The AHP Eigenvector Solution GfK Custom Research North America 8401 Golden Valley Rd ., Minneapolis , MN 55427 , USA 2 . The AHP solution and its interpretation for the maximum eigenvalue λ yields the principal eigenvector α which ser. 2(2), 158–162.

Thipparat, T., & Thaseepetch, T. (2013). An integrated VIKOR and fuzzy AHP method for assessing a sustainable research project. World Applied Sciences Journal, 22(12), 1729–1738. https://doi.org/10.5829/idosi.wasj.2013.22.12.2787

Umar, I. K., & Samir, B. (2019). Cumhuriyet Science Journal CSJ. Cumhuriyet Sci. J., 40(1), 197–203. https://doi.org/http://dx.doi.org/10.17776/csj.356185

Velasquez, M., & Hester, P. (2013). An analysis of multi-criteria decision making methods. International Journal of Operations Research, 10(2), 56–66.

Wibawa, A. P., Fauzi, J. A., Isbiyantoro, S., Irsyada, R., Dhaniyar, & Hernández, L. (2019). VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation. International Journal of Advances in Intelligent Informatics, 5(2), 160–168. https://doi.org/10.26555/ijain.v5i2.172

Yang, M. H., Su, C. H., & Wang, W. C. (2017). The use of a DANP with VIKOR approach for establishing the model of e-learning service quality. Eurasia Journal of Mathematics, Science and Technology Education, 13(8), 5927–5937. https://doi.org/10.12973/eurasia.2017.01041a

Downloads


Crossmark Updates

How to Cite

Akmaludin, A., Sidik , S. ., Iriadi, N. ., Arfian, A. ., & Surianto, A. D. . (2021). Selection of the Best Swimming Athletes using MCDM-AHP and VIKOR Methods. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 5(2B), 44-52. https://doi.org/10.33395/sinkron.v6i1.10998

Issue

Vol. 5 No. 2B (2021): Article Research October 2021

Section

Articles

License

Copyright (c) 2021 Akmaludin Akmaludin, Sidik Sidik , Nandang Iriadi, Andi Arfian, Adhi Dharma Surianto

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC

Most read articles by the same author(s)

<< < 1 2