The purpose of this study is to find out the impact of 12-week circuit body weight training on athletes’ physical fitness. This study used an experimental design with a control group. This experimental model consists of three stages. Firstly, pre-testing the dependent variable before implementing the treatment. Secondly, experimental participants are given experimental treatment, specifically the circuit body weight approach. Thirdly, provide a post-test to measure the dependent variable after treatment. The experimental sample included 25 athletes from various sports who were separated into two treatment groups. The circuit body weight group consisted of 13 samples, while the remaining 12 were trained using conventional direct teaching methods. The data analysis technique begins with calculating the data’s normality. The homogeneity test determines if two data sets contain homogeneous versions. Finally, the Mann-Whitney test compares two similar population means. Calculations using SPSS IBM 26 on data before treatment in the experimental class resulted in a valid sample size of 25 and a score of 48.40 ± 2,931. The experimental group had a valid sample size of 25, with a score of 49.57 ± 2,979. Pre-test data for the control class showed 25 valid samples with a score of 38.7 ± 6,607. Meanwhile, the control class post-test data obtained a valid sample size of 25 with a score 39.43 ± 6.796. The table shows a sig (2-tailed) value of 0.000 < 0.05, indicating a significant difference in physical fitness scores between the experimental and control groups. Additionally, there is a difference in average Physical Fitness results between the Circuit bodyweight training model and the conventional learning model.
Read full abstract