Effect Of Plyometric Model On Increasing Volleyball Jumping Power Based On Anthropometric Ratio

Abstract

The purpose of this study was to determine: (1) Differences in the effect of Donald A. Chu's circuit plyometrics model and circuit plyometrics based on vertical jump motion analysis on increasing jumping power. (2) The difference in the increase in jumping power between high and low anthropometric ratios. (3) Effect of interaction between circuit plyometrics model and anthropometric ratio on increasing jumping power. This study was an experimental method consisting of three variables, namely the manipulative independent variable (exercise model), the attributive independent variable (anthropometric ratio) and the dependent variable (jumping power). The research design was 2x2 factorial. The research sample was 36 athletes taken by random sampling. Anthropometric ratio data was obtained by measuring body height and leg length, while jumping power was measured by vertical jump test. The data analysis technique used two-way ANOVA. The result showed that: (1) There was a significant difference between Donald A. Chu's circuit plyometrics model and circuit plyometrics model based on vertical jump motion analysis on increasing jumping power, F_count = 9.79 > F _table = 4.15. The effect of circuit plyometrics model based on vertical jump motion analysis is better than Donald A. Chu's circuit plyometrics model. (2) There was no significant difference between students who have high and low anthropometric ratios about increase in jumping power with F_count =0.88< F _table = 4.15. (3) There was no significant interaction effect between circuit plyometrics model and anthropometric ratio on increasing jumping power, F_count = 0.06 < F _table = 4.15.