THE DEVELOPMENTS OF MOTOR ABILITY EXERCISE MODELS FOR CEREBRAL PALSY FOOTBALL PLAYERS WITH CIRCUIT METHOD

Abstract

This research and development aims to: (1) Produce a product of motor ability exercise models for cerebral palsy football players with circuit method; and (2) Testing the effectiveness of the motor ability exercise models for cerebral palsy football players with circuit method. The design of this study refers to the RD (2) the second stage is the model development plan; (3) the third stage is the validation, evaluation and revision of the model; and (4) fourth stage is model implementation. The effectiveness of model was figured out by using motor ability test with t-test formula at significance level α = 0,05. The results of this research and development is a motor ability exercise model of cerebral palsy football players with circuit method in the form of motion exercises such as: (a) 32 forms of flexibility training, (b) 8 shapes of strength training, (c) (D) 8 forms of coordination exercises, (e) 8-speeds of exercise form, (f) 8 shapes of power exercises, (g) 8-forms of agility, and (h) 8 shapes of endurance training. Flexibility exercises are designed as forms of exercise during warming ups as well as cooling down, while other forms of component training are designed as forms of practice in every circuit model. Each designed circuit model consists of 7 consecutive exercises consisting of strength, balance, coordination, speed, power, agility, and endurance. The product of circuit training model is named Umar Motor Ability Circuit-Cerebral Palsy Football abbreviated UMAC-CPF. The UMAC-CPF model consists of 8 circuit models: (1) UMAC-CPF1, (2) UMAC-CPF2, (3) UMAC-CPF3, (4) UMAC-CPF4, (5) UMAC-CPF5, (6) UMAC- CPF6, (7) UMAC-CPF7, and (8) UMAC-CPF8. Based on the effectiveness test results, it is empirically proven that the results of the products in the form of motor ability exercise models for cerebral palsy football players with circuit method (Model UMAC-CPF) have a very good effectiveness. Article visualizations: