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All Journal Physical Activity Journal (PAJU) ACTIVE: Journal of Physical Education, Sport, Health and Recreation
Ahmad Tegar Fauzan
Universitas Negeri Semarang
Public Health Social Sciences Other

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The Relationship Between Sleep Quality as A Determinant of Student Heart Rate Response in Physical Education Learning Ahmad Tegar Fauzan; Adi S
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 15 No. 1 (2026)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v15i1.40711

Abstract

Sleep quality is an important physiological factor that plays a role in the regulation of the autonomic nervous system and cardiovascular response, particularly heart rate. In students, poor sleep quality has the potential to affect heart rate response during physical activity in Physical Education, Sports, and Health (PE) learning. This study aims to analyze the relationship and influence of sleep quality on students' heart rate response in PE learning. The study uses a quantitative approach with a correlational (associative) design. It was carried out at  State Vocational School 10 Semarang with a research sample consisting of 120 students (N = 120) who were selected using random sampling techniques. Sleep quality was measured using a score scale of 1–4 (PSQI Questionnaire), while heart rate was measured in beats per minute (bpm), using the Coospo H808S device (chest strap ECG). Data analysis includes descriptive statistics, Kolmogorov-Smirnov normality test, linearity test, Pearson correlation test, and simple linear regression analysis. The results showed that there was a significant negative relationship between sleep quality and heart rate (r = -0.267; p = 0.003). Regression analysis showed that sleep quality had a significant effect on heart rate with a contribution of 7.1% (R² = 0.071). These findings indicate that better sleep quality is associated with lower heart rate and a more stable cardiovascular response during PE learning. Thus, sleep quality can be considered as one of the important factors in optimizing physical education learning and student health.
AI-Based Learning System In Analyzing Student Progress In Real-Time Ahmad Tegar Fauzan; Rivan Saghita Pratama; Sheva Tiara Kasih Elda
Physical Activity Journal (PAJU) Vol 7 No 1 (2025): Physical Activity Journal (PAJU)
Publisher : Department of Physical Education, Faculty of Health Sciences, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.paju.2025.7.1.16237

Abstract

This study aims to analyze the usage of AI in the learning system to analyze student progress in real-time. The method utilized is a narrative literature review, which is divided into two stages: collecting and analyzing data. Data was collected by examining 25 articles from various sources. Data analysis through topic-based categorization in AI-driven learning systems is employed to monitor and evaluate student progress in real time. The results of the narrative literature review reveal that AI has great potential in increasing the effectiveness and personalization of learning. However, it also poses challenges like the digital divide and ethical issues. In conclusion, implementing AI in education requires a holistic and sustainable approach to maximize its benefits and address its challenges.
Co-Authors Adi S Rivan Saghita Pratama Sheva Tiara Kasih Elda