Sistema de puntuación basado en sensores para la categoría de combate en Pencak Silat (Sensor-based scoring system for the fighting category in Pencak Silat)

Autores/as

  • Nurul Ihsan Universitas Negeri Padang
  • Yulkifli Yulkifli Universitas Negeri Padang
  • Ahmaddul Hadi Universitas Negeri Padang
  • Yohandri Yohandri Universitas Negeri Padang
  • Deby Tri Mario Universitas Negeri Padang https://orcid.org/0000-0002-1945-7276
  • Novadri Ayubi Universitas Negeri Surabaya https://orcid.org/0000-0002-5196-6636
  • Aydin Karacam Bandırma Onyedi Eylül University https://orcid.org/0000-0001-6509-427X
  • Zsolt Németh University of Pécs
  • Bekir Erhan Orhan Istanbul Aydın University

DOI:

https://doi.org/10.47197/retos.v57.105906

Palabras clave:

Technology, Sensors, Body protector, Scoringsystems, Fighting, Pencak Silat

Resumen

El sistema de puntuación que todavía se centra en las observaciones del jurado es uno de los problemas por los que el Pencak Silat no compite en los Juegos Olímpicos, por lo que se necesita una solución asistida por tecnología. Esta investigación tiene como objetivo desarrollar un sistema de puntuación basado en tecnología de sensores instalados en protectores corporales para la categoría de combate en Pencak Silat. La investigación consiste en el diseño de herramientas, pruebas de viabilidad e implementación. Los componentes del equipo instalados en el protector corporal incluyen sensores flexibles, espuma, un lector de RFID, un Arduino y NRF24L. UnS total de 9 expertos fueron asignados para evaluar su viabilidad, a saber, expertos en información y tecnología (n1=3), expertos en instrumentos (n2=3) y expertos en Pencak Silat (n3=3). Luego, 120 atletas de Pencak Silat masculinos (n1 = 70; 18.67±3.28 años) y femeninos (n2 = 50; 18.69±3.52 años) participaron en pruebas de campo. Los datos se analizaron utilizando el índice V de Aiken, ICC, ANOVA y la prueba t de muestras independientes. Los resultados mostraron que el índice V promedio fue de 0.778; ANOVA e ICC también mostraron que no hubo diferencias en las evaluaciones entre expertos (p>0.05) con muy alta confiabilidad (p<0.05). Luego, los resultados del análisis de la prueba t de muestras independientes mostraron que no hubo diferencias significativas entre los dos sistemas de evaluación (p>0.05). En conclusión, esta herramienta puede usarse como sistema de puntuación alternativo para la categoría de combate en Pencak Silat, por lo que se espera que sea util para el jurado y los practicantes de Pencak Silat en facilitar su desempeño al proporcionar evaluaciones objetivas y transparentes.

Palabras Clave: artes marciales, protector corporal, tecnología

Abstract. The scoring system which still focuses on the jury's observations is one of the problems with Pencak Silat not being competed at the Olympics, so a technology-assisted solution is needed. This research aims to develop a scoring system based on sensor technology installed on body protectors for the fighting category in Pencak Silat. This research consists of tool design, feasibility testing, and implementation. The equipment components installed on the body protector include flex sensors, foam, an RFID reader, an Arduino, and NRF24L. A total of 9 experts were assigned to assess its feasibility, namely information and technology experts (n1=3), instruments experts (n2=3), and Pencak Silat experts (n3=3). Then, 120 male (n1=70; 18.67±3.28 years) and female (n2=50; 18.69±3.52 years) Pencak Silat athletes were involved in field trials. Data were analyzed using Aiken's V index, ICC, ANOVA, and independent samples t-test. The results showed that the average V index was 0.778; ANOVA and ICC also showed that there were no differences in assessments between experts (p>0.05) with very high reliability (p<0.05). Then, the independent sample t-test analysis results showed no significant differences between the two assessment systems (p>0.05). In conclusion, this tool can be used as an alternative scoring system for the fighting category in Pencak Silat, so it is hoped that it will be helpful to the jury and Pencak Silat practitioners in facilitating their performance in providing objective and transparent assessments.

Keywords: martial arts, body protector, technology

Citas

Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131–142.

Almanasreh, E., Moles, R., & Chen, T. F. (2019). Evaluation of methods used for estimating content validity. Research in Social and Administrative Pharmacy, 15(2), 214–221. https://doi.org/10.1016/j.sapharm.2018.03.066

Alnedral, Ihsan, N., Mario, D. T., Aldani, N., & Sari, D. P. (2023). Digital-based e-modules in Tarung Derajat martial arts learning at basic level. International Journal of Human Movement and Sports Sciences, 11(2), 306–315. https://doi.org/10.13189/saj.2023.110207

Batool, M., Jalal, A., & Kim, K. (2019). Sensors technologies for human activity analysis based on SVM optimized by PSO algorithm. 2019 International Conference on Applied and Engineering Mathematics, ICAEM 2019 - Proceedings, 145–150. https://doi.org/10.1109/ICAEM.2019.8853770

Beranek, V., Stastny, P., Novacek, V., Votapek, P., & Formanek, J. (2020). Upper limb strikes reactive forces in mix martial art athletes during ground and pound tactics. International Journal of Environmental Research and Public Health, 17(21), 1–15. https://doi.org/10.3390/ijerph17217782

Boulos, M. N. K., & Berry, G. (2012). Real-time locating systems (RTLS) in healthcare: A condensed primer. International Journal of Health Geographics, 11(25), 1–8. https://doi.org/10.1186/1476-072X-11-25

Brown, K., Toombs, M., Nasir, B., Kisely, S., Ranmuthugala, G., Brennan-Olsen, S. L., … Hides, L. (2020). How can mobile applications support suicide prevention gatekeepers in Australian Indigenous communities? Social Science and Medicine, 258(May), 113015. https://doi.org/10.1016/j.socscimed.2020.113015

Camomilla, V., Bergamini, E., Fantozzi, S., & Vannozzi, G. (2018). Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review. Sensors, 18(3), 1–50. https://doi.org/10.3390/s18030873

Castillo, A. B., Carmona, C. D. G., Sánchez, E. D. la cruz, & Ortega, J. P. (2018). Accuracy, intra- and inter-unit reliability, and comparison between GPS and UWB-based position-tracking systems used for time–motion analyses in soccer. European Journal of Sport Science, 18(4), 450–457. https://doi.org/10.1080/17461391.2018.1427796

Chi, E. H. (2005). Introducing wearable force sensors in martial arts. IEEE Pervasive Computing, 4(3), 47–53. https://doi.org/10.1109/MPRV.2005.67

Cho, D. W. (1981). Inter-rater reliability: Intraclass correlation coefficients. Educational and Psychological Measurement, 41(1), 223–226.

Damrah, D., Ihsan, N., Muharel, A., Komaini, A., Rifki, M. S., Sepriadi, S., & Ilham, I. (2023). A measuring tool for kick speed with dynamic targets: A digital-based instrument designed for Pencak Silat learning. Annals of Applied Sport Science, 11(4). http://aassjournal.com/article-1-1216-en.html

Dimyati, Irianto, D. P., & Lumintuarso, R. (2020). Exploring the psychological skills of Indonesian Pencak Silat Athletes at the 18th Asian games. Ido Movement for Culture, 20(2), 10–16. https://doi.org/10.14589/ido.20.2.2

Espinosa, H. G., Lee, J., & James, D. A. (2015). The inertial sensor: A base platform for wider adoption in sports science applications. Journal of Fitness Research, 4(1), 13–20.

Firdaus, K., Hartoto, S., Hariyanto, A., Subagya, I., Nikmatullaili, Mario, D. T., & Zulbahri. (2023). Evaluation of several factors that affect the learning outcomes of Physical Education. International Journal of Human Movement and Sports Sciences, 11(1), 27–36. https://doi.org/10.13189/saj.2023.110104

Firdaus, K., & Mario, D. T. (2022). Development of service sensor tools on table tennis net. Journal of Physical Education and Sport, 22(6), 1449–1456. https://doi.org/10.7752/jpes.2022.06182

Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., … Javey, A. (2016). Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature, 529(7587), 509–514. https://doi.org/10.1038/nature16521

Handayani, S. G., Myori, D. E., Yulifri, Komaini, A., & Mario, D. T. (2023). Android-based gymnastics learning media to improve handstand skills in junior high school students. Journal of Human Sport and Exercise, 18(3), 690–700. https://doi.org/10.14198/jhse.2023.183.15

Ho, H. J., Zhang, Z. X., Huang, Z., Aung, A. H., Lim, W.-Y., & Chow, A. (2020). Use of a real-time locating system for contact tracing of health care workers during the COVID-19 pandemic at an infectious disease center in Singapore: Validation study. Journal of Medical Internet Research, 22(5), e19437. https://doi.org/10.2196/19437

Huỳnh, T., Blanke, U., & Schiele, B. (2007). Scalable recognition of daily activities with wearable sensors. Int. Symp. Locat. Context, 50–67. https://doi.org/10.1007/978-3-540-75160-1_4

Ihsan, N., Hanafi, R., Sepriadi, Okilanda, A., Suwirman, & Mario, D. T. (2022). The effect of limb muscle explosive power, flexibility, and achievement motivation on sickle kick performance in Pencak Silat learning. Physical Education Theory and Methodology, 22(3), 393–400. https://doi.org/10.17309/tmfv.2022.3.14

Ihsan, N., Yulkifli, & Yohandri. (2016). Development of speed measurement system for Pencak Silat kick based on sensor technology. Journal of Physics: Conference Series, 755(1), 1–8. https://doi.org/10.1088/1742-6596/755/1/011001

Irawan, F. A., Nomi, M. T., & Peng, H.-T. (2021). Pencak Silat side kick in persinas ASAD: Biomechanics analysis. International Journal of Human Movement and Sports Sciences, 9(6), 1230–1235. https://doi.org/10.13189/saj.2021.090617

Irawan, R., Yenes, R., Mario, D. T., Komaini, A., Orhan, B. E., & Ayubi, N. (2024). Design of a sensor technology-based hand-eye coordination measuring tool: Validity and reliability. Ret, 2041, 966–973. https://doi.org/10.47197/retos.v56.103610

Ishac, K., & Eager, D. (2021). Evaluating martial arts punching kinematics using a vision and inertial sensing system. Sensors, 21(6), 1–25. https://doi.org/10.3390/s21061948

Javaid, M., Haleem, A., Rab, S., Singh, R. P., & Suman, R. (2021). Sensors for daily life: A review. Sensors International, 2(7), 100121. https://doi.org/10.1016/j.sintl.2021.100121

Kim, J., Campbell, A. S., de Ávila, B. E. F., & Wang, J. (2019). Wearable biosensors for healthcare monitoring. Nature Biotechnology, 37(4), 389–406. https://doi.org/10.1038/s41587-019-0045-y

Komaini, A., Kiram, Y., Gusril, G., Mario, D. T., Handayani, S. G., & Erianjoni, E. (2023). Fundamental movement skills in children in Mentawai Islands: Indigenous tribes in Indonesia. Physical Education Theory and Methodology, 23(4), 520–530. https://doi.org/10.17309/tmfv.2023.4.05Koo, T. K., & Li, M. Y. (2016). A Guideline of selecting and reporting Intraclass Correlation Coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012

Leser, R., Baca, A., & Ogris, G. (2011). Local positioning systems in (game) sports. Sensors, 11(10), 9778–9797. https://doi.org/10.3390/s111009778

Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. (2015). Wearable performance devices in sports medicine. Sports Health, 8(1), 74–78. https://doi.org/10.1177/1941738115616917

Liskustyawati, H., Mukholid, A., & Waluyo, W. (2019). The average needs of Pencak Silat basic technique from sparring category. International Journal of Multicultural and Multireligious Understanding, 6(4), 308–313. https://doi.org/10.18415/ijmmu.v6i4.972

Matsuwaka, S. T., & Latzka, E. W. (2019). Summer adaptive sports technology, equipment, and injuries. Sports Medicine and Arthroscopy Review, 27(2), 48–55. https://doi.org/10.1097/JSA.0000000000000231

Mendes, J. J. A., Vieira, M. E. M., Pires, M. B., & Stevan, S. L. (2016). Sensor fusion and smart sensor in sports and biomedical applications. Sensors, 16(10), 1–31. https://doi.org/10.3390/s16101569

Oh, H., Johnson, W., & Syrop, I. P. (2019). Winter adaptive sports participation, injuries, and equipment. Sports Medicine and Arthroscopy Review, 27(2), 56–59. https://doi.org/10.1097/JSA.0000000000000236

Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Focus on research methods: Is the CVI an acceptable indicator of content validity ? Appraisal and recommendations. ResearchinNursing&Health, 30(4), 459–467. https://doi.org/10.1002/nur.20199

Rifki, M. S., Hanifah, R., Sepdanius, E., Komaini, A., Ilham, Fajri, H. P., & Mario, D. T. (2022). Development of a volleyball test instrument model. International Journal of Human Movement and Sports Sciences, 10(4), 807–814. https://doi.org/10.13189/saj.2022.100421

Robertson, S. J., Burnett, A. F., & Cochrane, J. (2013). Tests examining skill outcomes in sport: A systematic review of measurement properties and feasibility. Sports Medicine, 44(4), 501–518. https://doi.org/10.1007/s40279-013-0131-0

Sireci, S. G., & Faulkner-Bond, M. (2014). Validity evidence based on test content. Psicothema.

Umar, U., Alnedral, A., Ihsan, N., Mario, D. T., & Mardesia, P. (2023). The effect of learning methods and motor skills on the learning outcomes of basic techniques in volleyball. Journal of Physical Education and Sport, 23(9), 2453–2460. https://doi.org/10.7752/jpes.2023.09282

Usra, M., Lesmana, I. B., Octara, K., Bayu, W. I., Badau, A., Ishak, A., & Setiawan, E. (2024). Augmented reality training on combat sport: Improving the quality of physical fitness and technical performance of young athletes. Retos, 54, 835–843. https://doi.org/10.47197/retos.v54.103743

Wang, X., Zhi, C., & Wang, Q. (2017). Research on Wushu actions and techniques based on a biomechanical sensor system. International Journal Bioautomation, 21(2), 199–206.

Wang, Z. L., Chen, J., & Lin, L. (2015). Progress in triboelectric nanogenertors as new energy technology and self-powered sensors. Energy and Environmental Science, 8(8), 2250–2282. https://doi.org/10.1039/c5ee01532d

Welis, W., Effendi, R., Ilham, I., Mario, D. T., Bafirman, B., & Ihsan, N. (2024). Protein-based soy flour supplementation to support the effects of weight training on muscle hypertrophy. Retos, 51(1), 923–929. https://doi.org/10.47197/retos.v51.99162

Welis, W., Yendrizal, Darni, & Mario, D. T. (2023). Physical fitness of students in Indonesian during the COVID-19 period: Physical activity, body mass index, and socioeconomic status. Physical Activity Review, 11(1), 77–87. https://doi.org/10.16926/par.2023.11.10

Worsey, M. T. O., Espinosa, H. G., Shepherd, J. B., & Thiel, D. V. (2019). Inertial sensors for performance analysis in combat sports: A systematic review. Sports, 7(28), 1–19. https://doi.org/10.3390/sports7010028

Worsey, M. T. O., Pahl, R., Thiel, D. V., & Milburn, P. D. (2018). A comparison of computational methods to determine intrastroke velocity in swimming using IMUs. IEEE Sensors Letters, 2(1), 1–4. https://doi.org/10.1109/LSENS.2018.2804893

Wu, H., Dyson, M., & Nazarpour, K. (2021). Arduino-based myoelectric control: Towards longitudinal study of prosthesis use. Sensors, 21(3), 1–13. https://doi.org/10.3390/s21030763

Wynd, C. A., Schmidt, B., & Schaefer, M. A. (2003). Two quantitative approaches for estimating content validity. Western Journal of Nursing Research, 25(5), 508–518. https://doi.org/10.1177/0193945903252998

Yaakop, N., Koh, D., & Yasin, M. (2023). A content validation of focus group discussions based on need analysis in a physical education training module for primary school teachers. Retos, 50, 1115–1122. https://doi.org/10.47197/retos.v50.100191

Zhang, S., Ang, M. H., Xiao, W., & Tham, C. K. (2009). Detection of activities by wireless sensors for daily life surveillance: Eating and drinking. Sensors, 9(3), 1499–1517. https://doi.org/10.3390/s90301499

Descargas

Publicado

2024-06-26

Cómo citar

Ihsan, N., Yulkifli, Y., Hadi, A., Yohandri, Y., Mario, D. T., Ayubi, N., Karacam, A., Németh, Z., & Orhan, B. E. (2024). Sistema de puntuación basado en sensores para la categoría de combate en Pencak Silat (Sensor-based scoring system for the fighting category in Pencak Silat). Retos, 57, 684–691. https://doi.org/10.47197/retos.v57.105906

Número

Sección

Artículos de carácter científico: trabajos de investigaciones básicas y/o aplicadas

Artículos más leídos del mismo autor/a

1 2 3 4 > >>