A Machine Learning-Based Framework for Optimizing Sports Talent Identification and Development

Authors

  • Cahyo Yuwono Department of Physical Education, Faculty of Sports Science, Universitas Negeri Semarang, Semarang, Indonesia Author
  • Bhayu Billiandri Department of Physical Education, Faculty of Sports Science, Universitas Negeri Semarang, Semarang, Indonesia Author
  • Dwi Tiga Putri Department of Physical Education, Faculty of Sports Science, Universitas Negeri Semarang, Semarang, Indonesia Author
  • Adi S Department of Physical Education, Faculty of Sports Science, Universitas Negeri Semarang, Semarang, Indonesia Author
  • Made Bang Redy Utama Department of Sport Coaching, Faculty of Sports Science, Universitas Negeri Jakarta, Jakarta, Indonesia Author
  • Hilmy Aliriad Department of Physical Education, Faculty of Teacher Training and Education, Physical Education, Sport, Health and Recreation, Bojonegoro / Indonesia Author

DOI:

https://doi.org/10.48047/8sxdfm81

Keywords:

Talent Scouting, Sport Talent, Validity, Reliability

Abstract

This research aims to set a new standard in sports talent discovery, effectively addressing existing gaps and enhancing
talent scouting in Indonesia. The validity and reliability of the instrument were assessed using a single-visit, crosssectional descriptive design in the study. The statistical analysis makes use of the Measuring of Sampling Adequacy
(MSA) and the Kaiser-Meyer-Olkin (KMO) test. SPSS Version 23 was used to create the validity test, which evaluates the
assessment tool's reliability. The reliability test used in this study was the Cronbach's alpha coefficient. The required
dependability score is 0.70 or higher. Reliability is therefore regarded as popular. The research's conclusions offer fresh
perspectives on trustworthy and legitimate tools. An Indonesian sports instrument with two components—biomotor 91.4
& 92 and anthropometric 93.4 & 93—is the end product of this research.

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Published

2025-01-10

Issue

Vol. 54 No. 2 (2025): Year 2025, Volume 54, Issue 2

Section

Articles

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How to Cite

A Machine Learning-Based Framework for Optimizing Sports Talent Identification and Development (C. . Yuwono, B. . Billiandri, D. . Tiga Putri, A. . S, M. B. Redy Utama, & H. . Aliriad , Trans.). (2025). Cuestiones De Fisioterapia, 54(2), 3934-3952. https://doi.org/10.48047/8sxdfm81