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VOLUME 06 ISSUE 07 JULY 2023

Android-Based Athlete Talent Identification: Preliminary Study
1Hervanda Mahardika,2Siswantoyo,3Betrix Teofa Perkasa Wibafiet Billy Yachsie
1,2,3Department of Sport Science, Yogyakarta State University, Yogyakarta Indonesia
DOI : https://doi.org/10.47191/ijmra/v6-i7-58

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ABSTRACT:

This study aims to find out how much the coach's knowledge is related to talent identification in the community environment. This research is descriptive research with a survey method. The data collection technique used a closed questionnaire which totaled 12 valid statements with a reliability value of 0.897. The sample in this study was 40 sports trainers in Yogyakarta, who were taken using a purposive sampling technique, with the criteria of coaches being elite coaches and having coached athletes. The results of the research on how high the trainer's knowledge is to identify android-based talent are: "very low" at 5.00%, "low" at 22.50%, "enough" at 32.50%, "high" at 32.50%, and "very high" of 7.50%.

KEYWORDS:

Talent identification, athlete, android

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VOLUME 06 ISSUE 07 JULY 2023

There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.


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