Analysis of the physical performance of national team athletic athletes in preparation for international competitions: A multidimensional approach

This study examines the impact of anthropometry, premeter tests, and general physical condition on the performance of athletic athletes at the national training center in Jakarta. Using a quantitative survey approach, Structural Equation Modeling (SEM) with the PLS method was employed to analyze relationships between variables. The study involved 15 athletes, consisting of 7 track athletes and 8 field athletes. Data were processed using SPSS 25 and Smart PLS-SEM.The results indicate that anthropometry has a small positive effect on athletic performance, with an original sample value of 0.15, a t-statistic of 1.96, and a P-value of 0.66 (>0.05). The premeter test significantly influences performance, with a positive original sample value of 0.44, a t-statistic of 3.40 (>1.96), and a P-value of 0.000 (<0.05). General physical condition quality significantly affects achievement, with an original sample value of 0.49, a t-statistic of 2.15 (>1.96), and a P-value of 0.007 (<0.05). These findings highlight the importance of general physical condition and premeter testing in enhancing athlete performance, while anthropometry has a limited impact. This study provides valuable insights into the factors influencing performance in athletics.