Bibliometric Analysis: Inovasi Pemanfaatan Teknologi dalam Program Latihan Atlet Bulu Tangkis

  • Mas Asep Sudrajat Universitas Pendidikan Indonesia, Jawa Barat, Indonesia
  • Agus Rusdiana Universitas Pendidikan Indonesia, Jawa Barat, Indonesia
  • Lili Setiawan Universitas Pendidikan Indonesia, Jawa Barat, Indonesia
Keywords: Bibliometric Analysis, Inovasi, Teknologi, Program Latihan, Atlet, Bulu Tangkis

Abstract

Konvergensi berbagai ide, yang menghasilkan jutaan pikiran para pemimpin, ilmuwan, prediktor, dan peneliti disebut dengan Industri 6.0. Perkembangan teknologi selangkah dari industri 5.0 dan dua langkah 4.0, di mana robot secara otomatis melakukan semua tugas dan otak manusia yang mengendalikan seluruh aktivitas manusia di dunia termasuk dalam aktivitas olahraga. Bulu tangkis sebagai salah cabang olahraga yang melibatkan pemanfaatan teknologi mulai dalam latihan sampai dengan pertandingannya. Namun, sampai saat ini belum ada telaah yang fokus terkait pemanfaatan teknologi dalam program latihan atlet bulu tangkis. Kajian ini menelaah secara bibliometrik penelitian tentang pemanfaatan teknologi dalam latihan atlet bulu tangkis dari tahun 2015-2024, dengan maksud untuk menemukan pola perkembangan dari sejumlah besar riset, penulis terkemuka (seperti yang ditunjukkan oleh banyaknya tulisan dan sitasi), institusi dan negeri. Visualisasi dilakukan menggunakan VOSviewer. Temuan ini memberikan pemahaman kepada peneliti dan pembaca untuk mengembangkan perkembangan topik inovasi pemanfaatan teknologi dalam pelatihan atlet bulu tangkis, serta mengidentifikasi area penelitian potensial yang sedang berlangsung. Saat ini, Tiongkok menjadi negara dengan produktivitas tertinggi, dengan kontribusi 13 publikasi terkait teknologi performa atlet bulu tangkis, sementara Fazly Salleh Abas merupakan penulis paling produktif berdasarkan rentang waktu 2015-2024, dengan 288 sitasi dan 38 publikasi.

Downloads

Download data is not yet available.

References

Adesida, Y., Papi, E., & McGregor, A. H. (2019). Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review. Sensors (Switzerland), 19(7). https://doi.org/10.3390/s19071597

Anandh, G., PrasannaVenkatesan, S., Goh, M., & Mathiyazhagan, K. (2021). Reuse assessment of WEEE: Systematic review of emerging themes and research directions. Journal of Environmental Management, 287(November 2020), 112335. https://doi.org/10.1016/j.jenvman.2021.112335

Belling, P. K., & Ward, P. (2015). Time to Start Training: A Review of Cognitive Research in Sport and Bridging the Gap from Academia to the Field. Procedia Manufacturing, 3, 1219–1224. https://doi.org/10.1016/j.promfg.2015.07.202

Chandra, A., Nida, & Shukla, R. (2021). A Bibliometric Analysis of COVID-19 Across Economics and Business Research Landscape. Transnational Marketing Journal, 9(3), 667–680. https://doi.org/10.33182/tmj.v9i3.1316

Chen, W., Liao, T., Li, Z., Lin, H., Xue, H., Zhang, L., Guo, J., & Cao, Z. (2019). Using FTOC to track shuttlecock for the bulu tangkis robot. Neurocomputing, 334, 182–196. https://doi.org/10.1016/j.neucom.2019.01.023

Chourasia, S., Tyagi, A., Pandey, S. M., Walia, R. S., & Murtaza, Q. (2022). Sustainability of Industry 6.0 in Global Perspective: Benefits and Challenges. Mapan - Journal of Metrology Society of India, 37(2), 443–452. https://doi.org/10.1007/s12647-022-00541-w

de Beukelaar, T. T., & Mantini, D. (2023). Monitoring Resistance Training in Real Time with Wearable Technology: Current Applications and Future Directions. Bioengineering, 10(9). https://doi.org/10.3390/bioengineering10091085

Deng, Y., & Liu, P. (2023). Effect of Different Doses of Vitamin C Supplementation on Health and Performance of Bulu tangkis Players Based on Machine Learning. Journal of Testing and Evaluation, 51(1). https://doi.org/10.1520/JTE20210466

Espino Palma, C., Luis del Campo, V., & Muñoz Marín, D. (2023). Visual Behaviours of Expert Padel Athletes When Playing on Court: An In Situ Approach with a Portable Eye Tracker. Sensors, 23(3). https://doi.org/10.3390/s23031438

González-Peño, A., Simón-Chico, L., Prieto, L., & Franco, E. (2023). A technology-based experience to improve bulu tangkis skills: A challenge-based learning application. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 3–5. https://doi.org/10.1177/17543371231185913

Jacob, A., Wan Zakaria, W. N., & Md Tomari, M. R. B. (2015). Implementation of Bluetooth communication in developing a mobile measuring device to measure human finger movement. ARPN Journal of Engineering and Applied Sciences, 10(19), 8520–8524. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946433712&partnerID=40&md5=c63b66d3c727dda779d7bf2c106b2d37

Jeong, Y., Woo, E. J., & Lee, S. (2020). Bibliometric analysis on the trend of the computed tomography (Ct)-related studies in the field of forensic science. Applied Sciences (Switzerland), 10(22), 1–13. https://doi.org/10.3390/app10228133

Meng, L., Wen, K. H., Brewin, R., & Wu, Q. (2020). Knowledge atlas on the relationship between urban street space and residents’ health-a bibliometric analysis based on vos viewer and cite space. Sustainability (Switzerland), 12(6). https://doi.org/10.3390/su12062384

Neptune, R. R., McGowan, C. P., & Fiandt, J. M. (2009). The influence of muscle physiology and advanced technology on sports performance. Annual Review of Biomedical Engineering, 11, 81–107. https://doi.org/10.1146/annurev-bioeng-061008-124941

Ooi, J. H., & Gouwanda, D. (2023). Bulu tangkis stroke identification using wireless inertial sensor and neural network. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 237(4), 291–300. https://doi.org/10.1177/17543371211048328

Pan, T. (2020). Tracking and extracting action trajectory of athlete based on hierarchical features. Ingenierie Des Systemes d’Information, 25(5), 677–682. https://doi.org/10.18280/ISI.250515

Park, S. H., Ryu, D., Uiga, L., Masters, R., Abernethy, B., & Mann, D. L. (2019). Falling for a Fake: The Role of Kinematic and Non-kinematic Information in Deception Detection. Perception, 48(4), 330–337. https://doi.org/10.1177/0301006619837874

Phomsoupha, M., & Laffaye, G. (2015). The Science of Bulu tangkis: Game Characteristics, Anthropometry, Physiology, Visual Fitness and Biomechanics. Sports Medicine, 45(4), 473–495. https://doi.org/10.1007/s40279-014-0287-2

Pu, Y., Gao, X., & Lv, W. (2024). Design of optical tracking sensor based on image feature extraction for bulu tangkis athlete motion recognition. Optical and Quantum Electronics, 56(4). https://doi.org/10.1007/s11082-024-06322-w

Qi, Y. (2020). Research on bulu tangkis action feature recognition based on improved HMM model. Journal of Intelligent and Fuzzy Systems, 39(4), 5571–5582. https://doi.org/10.3233/JIFS-189038

Rahmad, N. A., Sufri, N. A. J., As’Ari, M. A., & Azaman, A. (2019). Recognition of bulu tangkis action using convolutional neural network. Indonesian Journal of Electrical Engineering and Informatics, 7(4), 750–756. https://doi.org/10.11591/ijeei.v7i4.968

Rebelo, A., Martinho, D. V., Valente-dos-Santos, J., Coelho-e-Silva, M. J., & Teixeira, D. S. (2023). From data to action: a scoping review of wearable technologies and biomechanical assessments informing injury prevention strategies in sport. BMC Sports Science, Medicine and Rehabilitation, 15(1), 1–14. https://doi.org/10.1186/s13102-023-00783-4

Sarwar, M. A., Lin, Y.-C., Daraghmi, Y.-A., Ik, T.-U., & Li, Y.-L. (2023). Skeleton Based Keyframe Detection Framework for Sports Action Analysis: Bulu tangkis Smash Case. IEEE Access, 11, 90891–90900. https://doi.org/10.1109/ACCESS.2023.3307620

Seçkin, A. Ç., Ateş, B., & Seçkin, M. (2023). Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities. Applied Sciences (Switzerland), 13(18). https://doi.org/10.3390/app131810399

Shah, S. H. H., Lei, S., Ali, M., Doronin, D., & Hussain, S. T. (2020). Prosumption: bibliometric analysis using HistCite and VOSviewer. Kybernetes, 49(3), 1020–1045. https://doi.org/10.1108/K-12-2018-0696

Ting, H. Y., Sim, K. S., & Abas, F. S. (2015). Kinect-based bulu tangkis movement recognition and analysis system. International Journal of Computer Science in Sport, 14(2), 25–41. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957638067&partnerID=40&md5=c0f272f0200cf57f7ca1a85c50b27e49

Wang, A., & Yi, X. (2021). Attitude Perception of Bulu tangkis Players Based on Mobile Edge Computing. Scientific Programming, 2021. https://doi.org/10.1155/2021/2436635

Wang, Z., & Hu, Y. (2022). Analysis of Bulu tangkis Movement Cognition Algorithm Based on Track Linear Capture. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/7137659

Wei, X. (2017). An analysis of the training mode of bulu tangkis players using data mining technology. Agro Food Industry Hi-Tech, 28(1), 3486–3489. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020544541&partnerID=40&md5=efdc1330ecb47fcfc7e4c2958a7cccc2

Xie, J., Chen, G., & Liu, S. (2021). Intelligent Bulu tangkis Training Robot in Athlete Injury Prevention Under Machine Learning. Frontiers in Neurorobotics, 15. https://doi.org/10.3389/fnbot.2021.621196

Xiong, S., & Li, X. (2022). Intelligent Strategy of Internet of Things Computing in Bulu tangkis Sports Activities. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/9409151

Yu, L., Jiang, H., Mei, Q., Mohamad, N. I., Fernandez, J., & Gu, Y. (2023). Intelligent prediction of lower extremity loadings during bulu tangkis lunge footwork in a lab-simulated court. Frontiers in Bioengineering and Biotechnology, 11. https://doi.org/10.3389/fbioe.2023.1229574

Zhang, L., & Dai, H. (2023). Motion trajectory tracking of athletes with improved depth information-based KCF tracking method. Multimedia Tools and Applications, 82(17), 26481–26493. https://doi.org/10.1007/s11042-023-14929-6

Published
2024-12-31
How to Cite
Mas Asep Sudrajat, Agus Rusdiana, & Lili Setiawan. (2024). Bibliometric Analysis: Inovasi Pemanfaatan Teknologi dalam Program Latihan Atlet Bulu Tangkis. Jurnal Olahraga Dan Kesehatan Indonesia, 5(1), 40-52. https://doi.org/10.55081/joki.v5i1.2971