Application of Big data in football in Indonesia: Systematic Review
Abstract
The purpose of this study is to review articles that are carried out systematically and qualitatively synthesized on the application of football sports technology. The research method carried out by conducting a limited search is on research published in the article search period 2017 to 2022 by following prism guidelines, the search is carried out by systematically identifying 155 publications that undergo a review of the title, abstract, or full text. Studies are issued if the article is not in English or does not include the original data. The results of a systematic review found 10 articles that met the eligibility criteria, based on self-reported data that in Indonesia the use of sports technology in football has not been thoroughly used in every aspect of the football organization and there is a need to secure goals related to the use of technology as a whole to advance Indonesian football. The conclusion of this study is that there are still many factors that cause technology and bigdata to be used thoroughly in football.
Keywords:
Technology, Big data, Football
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References
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Zhao, P., & Dong, G. (2022). Analysis of the optimal shooting angle in football matches based on network data mining. Optik, 270, 169925. https://doi.org/10.1016/j.ijleo.2022.169925
Zhou, J. (2021). Virtual reality sports auxiliary training system based on embedded system and computer technology. Microprocessors and Microsystems, 82, 103944. https://doi.org/10.1016/j.micpro.2021.103944
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Dias de Lacerda, A. P., Rodrigues de Andrade, P., Kamonseki, D. H., Parizotto, N. A., Alves da Silva, A. S., Bernardo de Medeiros, L., & de Almeida Ferreira, J. J. (2022). Accuracy of infrared thermography in detecting tendinopathy: A systematic review with meta-analysis. Physical Therapy in Sport, 58, 117–125. https://doi.org/10.1016/j.ptsp.2022.10.005
Fältström, A., Skillgate, E., Tranaeus, U., Weiss, N., Källberg, H., Lyberg, V., Nomme, M., Thome, N., Omsland, T., Pedersen, E., Hägglund, M., Waldén, M., & Asker, M. (2022). Normative values and changes in range of motion, strength, and functional performance over 1 year in adolescent female football players: Data from 418 players in the Karolinska football Injury Cohort study. Physical Therapy in Sport, 58, 106–116. https://doi.org/10.1016/j.ptsp.2022.10.003
Frevel, N., Beiderbeck, D., & Schmidt, S. L. (2022). The impact of technology on sports – A prospective study. Technological Forecasting and Social Change, 182, 121838. https://doi.org/10.1016/j.techfore.2022.121838
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of Clinical Epidemiology, 62(10), e1–e34. https://doi.org/10.1016/j.jclinepi.2009.06.006
Liu, A., Xie, H., & Ahmed, K. (2021). Fault detection technology of national traditional sports equipment based on optical microscope imaging technology. Alexandria Engineering Journal, 60(2), 2697–2705. https://doi.org/10.1016/j.aej.2021.01.005
Malone, J. J., Lovell, R., Varley, M. C., & Coutts, A. J. (2017). Unpacking the Black Box: Applications and Considerations for Using GPS Devices in Sport. International Journal of Sports Physiology and Performance, 12(s2), S2-18-S2-26. https://doi.org/10.1123/ijspp.2016-0236
Meng, X., Li, Z., Wang, S., Karambakhsh, A., Sheng, B., Yang, P., Li, P., & Mao, L. (2020). A video information driven football recommendation system. Computers & Electrical Engineering, 85, 106699. https://doi.org/10.1016/j.compeleceng.2020.106699
Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), 1. https://doi.org/10.1186/2046-4053-4-1
Nicholls, S. B., James, N., Bryant, E., & Wells, J. (2019). The implementation of performance analysis and feedback within Olympic sport: The performance analyst’s perspective. International Journal of Sports Science & Coaching, 14(1), 63–71. https://doi.org/10.1177/1747954118808081
Noll, L., Mitham, K., Moran, J., & Mallows, A. (2022). Identifying current uses of return to work screening tests and their effectiveness of reducing the risk of reinjury in athletic occupations – A systematic review. Physical Therapy in Sport, 58, 141–150. https://doi.org/10.1016/j.ptsp.2022.10.010
Putranto, J. S., Heriyanto, J., Kenny, Achmad, S., & Kurniawan, A. (2023). Implementation of virtual reality technology for sports education and training: Systematic literature review. Procedia Computer Science, 216, 293–300. https://doi.org/10.1016/j.procs.2022.12.139
Ramadan, Gilang & Juniarti, Y. (2020). Metode penelitian : pendekatan kuantitatif, kualitatif dan R & D. CV Sadari Press.
Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. SpringerPlus, 5(1), 1410. https://doi.org/10.1186/s40064-016-3108-2
Samuel R., D. J., E, F., Manogaran, G., G.N, V., T, T., S, J., & A, A. (2019). Real time violence detection framework for football stadium comprising of big data analysis and deep learning through bidirectional LSTM. Computer Networks, 151, 191–200. https://doi.org/10.1016/j.comnet.2019.01.028
Wright, C., Carling, C., Lawlor, C., & Collins, D. (2016). Elite football player engagement with performance analysis. International Journal of Performance Analysis in Sport, 16(3), 1007–1032. https://doi.org/10.1080/24748668.2016.11868945
Wu, Y., Xia, Z., Wu, T., Yi, Q., Yu, R., & Wang, J. (2020). Characteristics and optimization of core local network: Big data analysis of football matches. Chaos, Solitons & Fractals, 138, 110136. https://doi.org/10.1016/j.chaos.2020.110136
Zhao, P., & Dong, G. (2022). Analysis of the optimal shooting angle in football matches based on network data mining. Optik, 270, 169925. https://doi.org/10.1016/j.ijleo.2022.169925
Zhou, J. (2021). Virtual reality sports auxiliary training system based on embedded system and computer technology. Microprocessors and Microsystems, 82, 103944. https://doi.org/10.1016/j.micpro.2021.103944
Zulkifli, A. F., & Danis, A. (2022). Technology in physical education: Using movement analysis application to improve feedback on sports skills among undergraduate physical education students. Social Sciences & Humanities Open, 6(1), 100350. https://doi.org/10.1016/j.ssaho.2022.100350
Published
2022-11-30
How to Cite
Ramadan, G., & Samin, G. (2022). Application of Big data in football in Indonesia: Systematic Review. JUARA : Jurnal Olahraga, 7(3), 964-972. https://doi.org/10.33222/juara.v7i3.2697
Section
Articles
Copyright (c) 2022 Gilang Ramadan, Giofandi Samin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
