LATIHAN SKIPPING DENGAN MODEL TRAINING FROM HOME (TFH) TERHADAP VO2MAX PADA ATLET BOLAVOLI PUTRI BINA MUDA KABUPATEN TUBAN

Abstract

Abstract

Volleyball is a sport that is loved by many people. The rules of this game are played by two teams and each team consists of 6 people and is separated by a net. But now the world is being attacked by a virus outbreak that is very dangerous for humans, namely Covid-19, including Indonesia. In a situation like this it is difficult to develop an exercise. Why is that, the covid-19 pandemic has turned out to be very dominant by positioning an athlete, especially athletes in the regions. Therefore, the researcher put forward a study entitled "The Effectiveness of Training From Home (TFH) Training on VO₂Max in Bina Muda Women's Volleyball Athletes in Tuban Regency".The formulation of the problem of this study is how the effectiveness of training from home to VO₂Max female volleyball athletes Bina Muda Tuban Regency. While the expected goal of this study was to determine the effect of training from home in the form of skipping training on VO₂Max in female volleyball athletes, Bina Muda, Tuban Regency. This research method is put forward is a quasi-experimental method with a quantitative approach. The design being put forward is Nonequivalent Control Group Design. To measure VO₂Max using MFT (Multistage Fitness Test) then analyzed using paired sample t-test or t test with a level of 0.05 (5%). The results obtained in this study are differences in the pre test and posttest with the paired sample t-test, the significant value of the pre-test npost-test experimental group was obtained at 0.00 <0.05, the results of the pre-test experiment and post-test after experiencing changes / differences significant. while the significant value of the control group pre test - post test was obtained at 0.0285> 0.05. From the results of this study, it can be concluded that there is a significant difference in the effectiveness of TFH training on VO₂Max.

Keywords : Effectiveness, Training, TFH, VO₂Max.