Islahuzzaman Nuryadin
ABSTRACT
Games tend to stimulate the brain and involve the human senses as a whole. Dribbling is in the form of complete control of the ball when the ball is not safe from the opponent or dribbling while running as fast as possible. The research objective was determined the effect of playing approach learning models on the football dribbling skills. The study carried with a single group pre- and post-test study. The research samples are 24 players taken by purposive sampling technique. Data collection was done by testing and measuring dribbling skills. Data analysis through paired sample t tests conducted using SPSS 23 to determine the effect of the learning model applied in improving dribbling skills. The results showed a Sig. value of 0.000 < 0.05. The conclusion of research is a significant effect on increasing dribbling skills using the playing approach learning model.
- M. Khodaee and S. A. Mathern, "Soccer. Sport-related Fractures, Dislocations and Trauma" pp. 951--953, 2020.Google Scholar
- A. S. Vaidya, "Different Techniques and Benefits of Football" Aayushi International Interdiciplinary Research Journal., vol. 7, no. 1, pp. 37--39, 2020.Google Scholar
- A. Cejudo et al., "Age-related differences in flexibility in soccer players 8-19 years old" PeerJ, vol. 2019, no. 1, 2019.Google Scholar
- E. A. Schmutz et al., "Motor Competence and Physical Activity in Early Childhood: Stability and Relationship" Front. Public Heal., vol. 8, no. February, pp. 1--8, 2020.Google Scholar
- F. Umar and R. Doewes, "The effectiveness of football learning model based on assure design in JPOK FKIP UNS students" J. Educ. Heal. Sport, vol. 9, no. 4, pp. 23--41, 2019.Google Scholar
- A. Price, D. Collins, J. Stoszkowski, and S. Pill, "Strategic Understandings: An Investigation of Professional Academy Youth Soccer Coaches' Interpretation, Knowledge, and Application of Game Strategies" International Sport Coaching Journal, vol. 7, no. 2. pp. 151--162, 2020.Google ScholarCross Ref
- S. Riyadi, R. Iqbal Doewes, and F. Umar, "The Development of Football Basic Skill Learning Model" vol. 278, no. YISHPESS, pp. 541--544, 2019.Google Scholar
- M. Ponticorvo, L. S. Sica, A. Rega, and O. Miglino, "On the Edge Between Digital and Physical: Materials to Enhance Creativity in Children. An Application to Atypical Development" Front. Psychol., vol. 11, no. May, pp. 1--10, 2020.Google ScholarCross Ref
- H. Adachi, Y. Sekiya, K. Imamura, K. Watanabe, and N. Kawakami, "The effects of training managers on management competencies to improve their management practices and work engagement of their subordinates: A single group pre- and post-test study" J. Occup. Health, vol. 62, no. 1, pp. 1--10, 2020.Google ScholarCross Ref
- D. A. Obara and C. M. Were, "Teachers level of support in the use of teaching and learning resources of learners who are physically challenged in regular primary Schools in Kisumu West Sub County, Kenya." Adv. Soc. Sci. Res. J., vol. 7, no. 3, pp. 92--112, 2020.Google Scholar
- S. Hendarto and R. Iqbal Doewes, "Development of football dribbling learning model through play appoach" Journal of Critical Reviews, vol. 7, no. 19, pp. 429--441, 2020.Google Scholar
- L. Branquinho, R. Ferraz, P. D. Mendes, J. Petricia, J. Serrano, and M. C. Marques, "The effect of an in-season 8-week plyometric training programme followed by a detraining period on explosive skills in competitive junior soccer players" Montenegrin Journal of Sports Science and Medicine, vol. 9, no. 1. pp. 33--40, 2020.Google ScholarCross Ref
- D. Coutinho, B. Gonçalves, S. Santos, B. Travassos, D. P. Wong, and J. Sampaio, "Effects of the pitch configuration design on players' physical performance and movement behaviour during soccer small-sided games" Res. Sport. Med., vol. 27, no. 3, pp. 298--313, 2019.Google ScholarCross Ref
- R. I. Doewes, S. Purnama, R. Syaifullah, and I. Nuryadin, "The effect of small sided games training method on football basic skills of dribbling and passing in indonesian players aged 10-12 years" Int. J. Adv. Sci. Technol., vol. 29, no. 3 Special Issue, pp. 429--441, 2020.Google Scholar
- U. Fadilah, "The Development of Exercise Model to Increase Motor Ability of Indonesian Cerebral Palsy Football Team Players" vol. 8, no. 2, pp. 113--122, 2019.Google Scholar
- B. Turna, "The Effects of 6-Week Core Training on Selected Biomotor Abilities in Soccer Players" J. Educ. Learn., vol. 9, no. 1, p. 99, 2020.Google ScholarCross Ref
- F. Abate Daga, L. Baseggio, M. Gollin, and L. Beratto, "Game-based vs mulitaleral approach: effects of a 12-week program on motor skill acquisition and physical fitness development in soccer school children." The Journal of sports medicine and physical fitness. 2020.Google ScholarCross Ref
- E. Berber, S. McLean, V. Beanland, G. J. M. Read, and P. M. Salmon, "Defining the attributes for specific playing positions in football match-play: A complex systems approach" Journal of Sports Sciences. pp. 1--11, 2020.Google ScholarCross Ref
- C. Fernández-Espínola, M. T. A. Robles, and F. J. G. Fuentes-Guerra, "Small-sided games as a methodological resource for team sports teaching: A systematic review" Int. J. Environ. Res. Public Health, vol. 17, no. 6, 2020.Google ScholarCross Ref
- A. Gaspar, S. Santos, D. Coutinho, B. Goncalves, J. Sampaio, and N. Leite, "Acute effects of differential learning on football kicking performance and in countermovement jump" PLoS One, vol. 14, no. 10, pp. 1--17, 2019.Google ScholarCross Ref
- S. Bozkurt, "The Effects of Differential Learning and Traditional Learning Trainings on Technical Development of Football Players" J. Educ. Train. Stud., vol. 6, no. 4a, p. 25, 2018.Google ScholarCross Ref
Index Terms
- The Effect of Playing Approach Learning Models on Football Dribbling Skills
Recommendations
Player Performance Profiling for Penalty Shootouts in Football Using Video Analysis
ICCA 2020: Proceedings of the International Conference on Computing AdvancementsThe purpose of this research is to detect and track football, kick taker and goalkeeper in a penalty shoot and use their tracking data to check whether the shot ends up as goal or not with the innate intention of creating a player profile. YOLOv2, a ...
Deep Sparse Autoencoders for Football Match and Bet Prediction
SETN '18: Proceedings of the 10th Hellenic Conference on Artificial IntelligenceIn recent years, betting in Association Football has become increasingly popular. A lot of research has been done on the subject using statistical and other approaches to create predictive models. Correctly forecasting a match outcome is a difficult and ...
Optimising Game Tactics for Football
AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent SystemsIn this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer). We model the game of football as a multi-stage game which is made up from a Bayesian game to model the pre-match decisions and a ...
Comments