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Digital-based gymnastics learning media for rolling front round material: Direct and indirect assistance approaches Zulbahri; Sepriadi; Mario, Deby Tri; Astuti, Yuni; Amra, Frizki
Journal Sport Area Vol 7 No 3 (2022): December
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/sportarea.2022.vol7(3).10736

Abstract

Digital-based gymnastics learning media is one of the efforts to achieve effective and efficient learning goals, especially in the rolling front round material. Therefore, this study aims to develop digital-based gymnastics learning media on rolling front round material which contains a direct assistance approach and indirect assistance approach. This research is a research and development that aims to produce and test the effectiveness of the product. This research consists of several stages, namely product design, product testing, and product implementation. A total of 45 gymnastics students at the department of sports education, faculty of sports science, Padang State University were used as research samples. 15 of them were used for small group trials, and 30 for large group trials. This research also involves material experts and media experts to validate the products developed. Expert validation results obtained an average of 83.33 or very good (material experts 80.00 and media experts 86.67). Meanwhile, the results of field trials obtained an average of 88.06 or showed a very high level of reliability (small group 88.90 and large group 87.23). In conclusion, this developed media can be used as a tool in learning gymnastics, whether it is used for physical education teachers, students, and athletes to improve round front rolling skills. Future research is needed to involve other materials in gymnastics learning with an attractive design and appearance, as well as a wider sample size.
Digital biomarkers for volleyball injury prediction: a systematic literature review Rudyanto Rudyanto; Frizki Amra; Ozha Wahyu Pra Adha; Abdur Rohim Fadlan
Lentera Negeri Vol. 6 No. 1 (2025): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992620

Abstract

The increased physical requirements of top-level volleyball players, such as the numerous high-intensity jumps and the quick eccentric landings, have contributed to the rise of overuse injuries and made athlete-monitoring technologies more important. Digital biomarkers extracted from wearable biosensors combined with artificial intelligence (AI) provide a scalable method to measure internal and external load, describe fatigue, and predict injury even before the appearance of symptoms. This systematic literature review provides an overview of the use of wearable biosensing, machine learning, and injury prediction in volleyball, including the common grounds between sports-technology and sports-medicine research fields. Following PRISMA 2020 guidelines, a search of the Scopus database returned 386 records, which were further reduced to 10 after a series of eligibility assessments and exclusions. The results were grouped into three main categories: performance and load monitoring, injury prediction, and biosensing and digital biomarkers. Research shows that inertial measurement units (IMUs) are the most widely used instruments in volleyball. They allow for automated jump detection and jump-load quantification using deep learning techniques such as temporal convolutional networks. Besides, personalized machine-learning models give better results than group-level models for monitoring overuse injuries. Newly developed textile and biochemical biosensors can also detect physiological biomarkers like lactate, extending monitoring beyond mere kinematics. The methods used are highly varied and mainly consisting of supervised learning on small, sport-specific cohort. There is very little external validation and football-specific injury endpoints are scarce. A brief theoretical detour in the review interprets digital biomarkers as a unified concept that combines both biomechanical and physiological monitoring. In a more practical sense, the review provides coaches and clinicians with a well-structured description of sensor placement, modeling strategies, and levels of validation maturity. Future studies should encourage synergistic sensor use, prospective volleyball-specific injury cohorts, model interpretability and standardization of reporting in order to make predictive analytics the basis of trustworthy injury-prevention decisions.
KONTRIBUSI DAYA LEDAK OTOT TUNGKAI DAN KOORDINASI MATA TANGAN MEDIUM SHOOT SISWA EKSTRAKULIKULER SMAN 3 KOTA PADANG Pratama, Faisal; Frizki Amra; Sri Gusti Handayani; Indri wulandari
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomer 03, September 2026 Publication
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.61054

Abstract

The issue addressed in this study is the lack of accuracy in the medium-range shots of students participating in the basketball extracurricular program at SMAN 3 Padang. This inaccuracy is influenced by several dominant factors, such as leg muscle explosive power and hand-eye coordination. The study aims to determine the extent to which leg muscle explosive power and hand-eye coordination contribute to the medium-range shooting performance of these students. This is a correlational study. The population consisted of 40 students from the SMAN 3 Padang basketball extracurricular program, with a sample of 20 male students selected using purposive sampling. Instruments used included the vertical jump test for leg muscle explosive power, a basketball catch-and-throw test for coordination, and a specific medium-range shooting test. Hypothesis testing results indicate that: (1) leg muscle explosive power contributes 30.83% to the medium-range shooting performance; (2) hand-eye coordination contributes 49.97%; and (3) the combined contribution of leg muscle explosive power and hand-eye coordination is 53.32%.