Peran Teknologi Wearable dalam Meningkatkan Performa Atlet
Abstract
ABSTRAK
Perkembangan teknologi digital telah membawa perubahan signifikan dalam dunia olahraga, khususnya melalui pemanfaatan teknologi wearable sebagai alat pemantauan performa atlet. Penelitian ini bertujuan untuk menganalisis pengaruh intensitas latihan, kualitas pemulihan, dan beban latihan terhadap kinerja atletik dengan menggunakan data yang diperoleh dari wearable technology. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan analisis regresi linear berganda terhadap 65 atlet Program Semarang Emas (PSE) dari berbagai cabang olahraga. Variabel independen dalam penelitian ini meliputi intensitas latihan, kualitas pemulihan, dan beban latihan, sedangkan variabel dependen adalah kinerja atletik. Hasil analisis menunjukkan bahwa secara parsial maupun simultan, ketiga variabel independen tidak memiliki pengaruh yang signifikan terhadap kinerja atletik. Nilai koefisien determinasi yang sangat rendah mengindikasikan bahwa kinerja atletik lebih banyak dipengaruhi oleh faktor lain di luar variabel yang diteliti, seperti kondisi mental, teknik bermain, nutrisi, dan strategi pelatihan. Meskipun demikian, teknologi wearable tetap memiliki peran penting sebagai sistem pendukung keputusan berbasis data dalam pengelolaan latihan atlet, khususnya untuk pemantauan kondisi fisiologis dan pencegahan risiko kelelahan serta cedera.
ABSTRACT
The development of digital technology has brought significant changes to the world of sports, particularly through the use of wearable technology as a tool for monitoring athlete performance. This study aims to analyze the effect of training intensity, recovery quality, and training load on athletic performance using data obtained from wearable technology. The research method used is a quantitative approach with multiple linear regression analysis of 65 athletes from the Semarang Emas Program (PSE) from various sports. The independent variables in this study include training intensity, recovery quality, and training load, while the dependent variable is athletic performance. The results of the analysis show that, both partially and simultaneously, the three independent variables do not have a significant effect on athletic performance. The very low coefficient of determination indicates that athletic performance is more influenced by factors other than the variables studied, such as mental condition, playing technique, nutrition, and training strategy. Nevertheless, wearable technology still plays an important role as a data-based decision support system in managing athlete training, particularly for monitoring physiological conditions and preventing fatigue and injury risks.
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