Evaluation of Several Factors that Affect the Learning Outcomes of Physical Education

This research aims to design a sensor-based hand-eye coordination measuring tool and test its validity and reliability. A total of 9 experts were involved in assessing its feasibility, each of them 3 sports measurement experts, 3 motor experts, and 3 technology experts. Meanwhile, 50 students at one of the Faculty of Sports Sciences, Indonesia participated in field trials. Participants were students taking physical condition courses (aged 18-20 years), consisting of male (n1=30) and female (n2=20). A validation questionnaire was prepared and discussed with experts as a guide in providing an assessment of the relevance of the instrument (suitability, accuracy, ease, and practicality of the tool), and test-retest reliability for field trials carried out twice with the difference between the first and second tests being one week. Data were analyzed using Aiken's V Index, Intraclass Correlation Coefficient (ICC), and Pearson correlation. The research results showed that the assessment of all aspects of the measuring instrument was in the high category, and the ICC value also showed no differences between assessments (P>0.05). Then, the test-retest reliability testing results obtained a significant regression analysis with a high correlation coefficient (r=0.801; P<0.05). In conclusion, this measuring tool can collect data to improve performance in sports involving hand-eye coordination (such as volleyball, badminton, tennis, basketball, hockey, martial arts and other sports that predominantly use the hands), both for coaches, athletes and sports practitioners. Keywords: validity, reliability, coordination, sensors

Section: Discussionmentioning

confidence: 99%

Design of a sensor technology-based hand-eye coordination measuring tool: Validity and reliability

Irawan,

Yenes,

Mario

et al. 2024

“…Protein supplementation will only produce muscle strength with carefully planned, structured, and prolonged weight training. According to previous research, effective sports training must be planned and programmed (Antara et al, 2023;Firdaus et al, 2023;Umar et al, 2023;Welis et al, 2023). In weight training, it is important to know the following: intensity and volume of training, sequence of exercises, number of repetitions, sets, tempo of movement, rest time between sets, and type of exercise (Ralston et al, 2018), Weight training with short (60 seconds or less) and long (more than 60 seconds) rest intervals can help in training muscle strength (Grgic et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Consuming soy flour after weight training: An alternative to increase leg muscle strength

Welis,

Effendi,

Mario

et al. 2024

The aim of this study was to find out whether soybean flour and lunge training can have a significant effect on muscle strength. This research method is a pre-test-post-test design (quasi-experiment). Using a total sampling technique, 14 Indonesian PPLP West Sumatra Pencak Silat athletes were used as research samples. The research procedure included measuring muscle strength (leg dynamometer) before administering 29g protein after lunges training (pre-test). Then the treatment was given in 16 meetings, with a frequency of 2 sessions per week for 8 weeks. The intensity of the training/intervention given was submaximal (80% to 90% of maximum capacity). Giving soy flour to athletes 30 minutes after training is in accordance with the protein requirements given to athletes in each session, namely 29 grams of protein equivalent to 73 grams of soy flour with the addition of 1 tablespoon of granulated sugar and 200 ml of water. The results of statistical tests using the t test showed that testing the data resulted in (p<0.05) a percentage increase of 6.91%. In conclusion, adding protein supplementation to support weight training can increase muscle strength. Planned, structured and consistent exercise is necessary for any protein supplement to work. The use of this protein supplement must be adjusted to the needs of each participant to get the best preparation results. The findings of this research can be used by athletes who want to or are currently implementing a training program, as well as coaches as evaluation material, and nutritionists as material experts. Keywords: Muscle Strength, Soybean Flour, Lunges, Pencak Silat

“…Learning motivation is recognized as one of the key factors that influence student success and achievement in the learning process. Learning motivation is the dominant factor that influences PE learning outcomes (Firdaus et al, 2023). Teaching strategies through structured tasks are the strongest predictor of motivation (Weeldenburg et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Achievement of Physical Education Learning Results Based on Gender Review and Learning Motivation on High School Students in the Yogyakarta Region, Indonesia

Martono,

Suherman,

Nugroho

et al. 2024

This research aims to examine differences in Physical Education (PE) learning outcomes for high school students based on gender and learning motivation. The sample in this research was 84 high school students in Yogyakarta and was taken using a simple random sampling system. Data analysis used descriptive statistics and inferential factorial two-way anova. The mean score for male students in the low learning motivation category was 86.29 and female students in the low learning motivation category was 83.71. The mean score for male students in the moderate learning motivation category was 83.21 and female students in the moderate learning motivation category was 84.14. The mean score for male students in the high learning motivation category is 85.64 and female students in the high learning motivation category is 82.64. The results of the Anova test on the learning motivation factor variable value Sig. 0.42 < 0.05 means that there is a significant difference or influence between students' learning motivation (low, medium and high) on PE learning outcomes. In the gender factor variable, the Sig. value 0.001 < 0.05 means that there is a significant difference or influence between gender (male and female) on PE learning achievement. Next, on the variables of learning motivation and gender, the Sig. value 0.000 < 0.05 means that there is an influence or interaction between learning motivation factors and gender on students' PE learning outcomes. The conclusion is that PE design needs to take into account the specifics of gender and type of sport. This is so that male and female students have the right to exercise according to their portion in order to benefit from the PE program at school. Apart from that, it is also to provide maximum enjoyment and achievement for students in various games and sports activities in PE without any pressure. The conclusion is that motivational factors and gender significantly interact and influence students' PE learning outcomes. Therefore, it is important for teachers to consider these two factors in designing and implementing effective PE learning, paying special attention to the specific needs and conditions of each student based on their respective learning motivation and gender. Keywords: Achievement, Learning Results, Physical Education, Students, Gender, Learning Motivation