The Optimum Phase Ratio of Indonesian Triple Jump Athletes as an Index Detector for Triple Jump Performance

Yadi Sunaryadi, Suherman Slamet

Abstract


Distribution of triple jump phases was deemed as a technical factor because the phase ratio significantly affects the actual distance in the triple jump. The objective of this study was to identify the phase ratio that is a measure of effort distribution in the triple jump. Hop-dominant, balanced, and jump-dominant techniques were three triple jump techniques defined based on phase ratio which are compared with its of world triple jumpers. The descriptive method was used in this research and subjects were male Indonesian triple jump athletes whose films were taken to be analyzed using Dartfish motion analysis. The percentage analysis obtained from each phase was calculated by comparing it with the total distance of the jump. The largest percentage value of the three phases was the type of jump performed. The performance of the world's triple jumpers was used as a comparative model for analysis to assess the quality of the movement and each athlete's movement sequence form was compared with movement of world triple jumper. The data revealed that the ratio of hop, step, and jump phases was 32% :30% :38%. The phase ratio of Indonesian triple jumper that produced the greatest jump distance was achieved in the jump phase. Despite phase ratio of each subject was wildly different but it was a good index detector of perfect distribution phase that demonstrates the good practice model especially for Indonesia triple jumper athletes.


Keywords


Phase ratio, Triple Jump Performance

References


Abdelkader, G., Madani, R., & Bouabdellah, S. (2018). Impact of the collision and push angles on the phases hop, step and jump in the triple jump and their relationship to the stage of take-off. European Journal of Physical Education and Sport Science.

Allen, S. J., King, M. A., & Yeadon, M. R. (2013). Trade-offs between horizontal and vertical velocities during triple jumping and the effect on phase distances. Journal of Biomechanics, 46(5), 979-983.

Allen, S. J., King, M. A., & Yeadon, M. F. (2016). Optimisation of phase ratio in the triple jump using computer simulation. Human movement science, 46, 167-176.

Bayraktar, I. (2017). Relationships between Horizontal Velocity Variables and Jump Performance In The Triple Jump. Ovidius University Annals, Series Physical Education & Sport/Science, Movement & Health, 17(2).

Čoh, M., Matjačić, Z., Peharec, S., Bačić, P., Rausavljević, N., & Maćkala, K. (2015). Kinematic, dynamic and EMG analysis of drop jumps in female elite triple jump athletes. Collegium antropologicum, 39(Supplement 1), 159-166.

Dziewiecki, K., Mazur, Z., & Blajer, W. (2013). Assessment of external and internal loads in the triple jump via inverse dynamics simulation. Biology of sport, 30(2), 103-109.

Eissa, A. (2014). Biomechanical evaluation of the phases of the triple jump take-off in a top female athlete. Journal of human kinetics, 40, 29.

Graham-Smith, P., & Brice, P. (2023). What would it take to break the world record in the men’s Triple jump. ISBS Proceedings Archive, 41(1), 43.

Ibrahim Haridy, A. M., Abdel-Raouf Diab, M., Ismail El-Shaer, O., & Mohamed Abdel-Gawad, M. (2015). Changes in vertical and leg stiffness during triple jump performance. Journal of Applied Sports Science, 5(1), 55-60.

King, M. A., & Yeadon, M. R. (2015). Advances in the development of whole body computer simulation modelling of sports technique. Movement & Sport Sciences-Science & Motricité, (90), 55-67.

Krzysztof, M., & Mero, A. (2013). A kinematics analysis of three best 100 m performances ever. Journal of human kinetics, 36(1), 149-160.

Lenuţa, D., & Corina, Ţ. (2021). The Evolution of The World and National Record In Men's Triple Jump. Ovidius University Annals, Series Physical Education & Sport/Science, Movement & Health, 21.

Liu, H., Mao, D., & Yu, B. (2015). Effect of approach run velocity on the optimal performance of the triple jump. Journal of Sport and Health Science, 4(4), 347-352.

Makaruk, H., STARzAK, M. A. R. C. I. N., & SADOwSKI, J. (2015). Does step length adjustment determine take-off accuracy and approach run velocity in long and triple jumps?. Human Movement, 16(3), 124-129.

McErlain-Naylor, S. A., King, M. A., & Felton, P. J. (2021). A review of forward-dynamics simulation models for predicting optimal technique in maximal effort sporting movements. Applied Sciences, 11(4), 1450.

Mohammed, Z. (2015). The Impact of the Three Pushes Takeoffs Angel’s Phases and Their Distributions Strides Lengths on the Performance in Triple Jump. International Journal of Modern Trends in Engineering and Research (IJMTER), 2(07), 317-323.

Mohammed, Z., Idriss, M. M., Ali, B., Nasreddin, B. M., & Abd-el-Kader, G. (2015). The Impact of the Techniques and Tactics Appropriate by the Athletes in Phase Triple Jump and Their Relationships with the Finale Results. Journal of Sports Science, 3(4).

Mohammed, Z. (2015). The impact of push phases takeoffs angles on performance in the dominant hop technique. Open Access Library Journal, 2(11), 1-7.

Ramadani, L., Rashiti, N., Shkodra, M., & Heta, G. (2021). Influence of some anthropometric and motor parameters on triple jump. Journal of Education, Health and Sport, 11(12), 38-46.

Romer, B., & Weimar, W. (2019). Phase ratios of American collegiate triple jumpers. Journal of Physical Education and Sport, 19(1), 645-651.

Ryu, J. K., & Chang, J. K. (2015). The Velocity Conversion Coefficient and Consistency for the Optimal Phase Ratio on the Performance of the Women's Triple Jump. Korean Journal of Sport Biomechanics, 25(1), 39-47.

Santhosh, R., & Shabu, S. J. (2019). Kinematic analysis on selected biomechanical parameters of hop phase in tipple jump. Int J Physiol Nutr Phys Educ, 4, 149-151.

Teferi, G., & Endalew, D. (2020). Methods of Biomechanical Performance Analyses in Sport: Systematic Review. Am. J. Sports Sci. Med, 8, 47-52.

Thotawaththa, P., & Chandana, A. (2021). A Triple Jump Performance Optimization Model Based on Flight Phase Biomechanical Factors. IOSR Journal of Sports and Physical Education (IOSR-JSPE), 8(4), 10-17.




DOI: https://doi.org/10.17509/jpjo.v9i1.67933

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Yadi Sunaryadi

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

Creative Commons License

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

web
statistics

View My Stats