Smart Sports Recruitment: Leveraging Software for Talent Precision
This research highlights the critical role of technology in sports, particularly in identifying and developing talent more effectively. Technology enables better athlete performance analysis; however, talent identification still relies on traditional methods. Coaches and sports teachers often select...
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| Format: | Article |
| Language: | English |
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FoundAE
2024-12-01
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| Series: | Journal of Coaching and Sports Science |
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| Online Access: | https://journal.foundae.com/index.php/jcss/article/view/529 |
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| author | Muhammad Ramli Buhari Jance Jacob Sapulete Muhammad Imran Hasanuddin Susilawati Susilawati |
| author_facet | Muhammad Ramli Buhari Jance Jacob Sapulete Muhammad Imran Hasanuddin Susilawati Susilawati |
| author_sort | Muhammad Ramli Buhari |
| collection | DOAJ |
| description | This research highlights the critical role of technology in sports, particularly in identifying and developing talent more effectively. Technology enables better athlete performance analysis; however, talent identification still relies on traditional methods. Coaches and sports teachers often select athletes based solely on competition results without leveraging technology-based analysis. As a result, important biomotor components are frequently overlooked, and the manual processing of talent data is time-consuming and less effective. To develop sports talent identification software based on biomotor and anthropometric databases to accelerate the search for talented athletes and sports recommendations efficiently and accurately. Biomotor and anthropometric test items are adopted from the talent scouting test scoring system of the Ministry of Youth and Sports of the Republic of Indonesia. The development method consists of the following stages: (1) performing needs analysis through surveys and interviews, (2) designing a talent identification model with a flow diagram, (3) developing a talent identification model using the Entity-Relationship Model, (4) testing the validity of the model by material and media experts using the Content Validity Index, and (5) conducting field trials with battery tests and anthropometric measurements. Producing talent identification software called Talent Identification Development (TIDev). Expert validation showed the I-CVI validity index of 0.93 (material) and 0.90 (media), indicating the high effectiveness of TIDev in identifying potential athletes and providing sports recommendations. A trial of 40 junior high school students showed that 34 students felt that the recommendations were based on their interests and talents, covering 12 recommended sports. TIDev can accelerate and simplify athlete recruitment, providing accurate and reliable sports analysis and recommendations. |
| format | Article |
| id | doaj-art-83e36ddb8ea446c097b5b1273fbd6d3b |
| institution | OA Journals |
| issn | 2963-1459 2963-1483 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | FoundAE |
| record_format | Article |
| series | Journal of Coaching and Sports Science |
| spelling | doaj-art-83e36ddb8ea446c097b5b1273fbd6d3b2025-08-20T02:35:39ZengFoundAEJournal of Coaching and Sports Science2963-14592963-14832024-12-013213515210.58524/jcss.v3i2.529235Smart Sports Recruitment: Leveraging Software for Talent PrecisionMuhammad Ramli Buhari0Jance Jacob Sapulete1Muhammad Imran Hasanuddin2Susilawati Susilawati3Universitas MulawarmanUniversitas MulawarmanUniversitas Negeri MakassarUniversitas MulawarmanThis research highlights the critical role of technology in sports, particularly in identifying and developing talent more effectively. Technology enables better athlete performance analysis; however, talent identification still relies on traditional methods. Coaches and sports teachers often select athletes based solely on competition results without leveraging technology-based analysis. As a result, important biomotor components are frequently overlooked, and the manual processing of talent data is time-consuming and less effective. To develop sports talent identification software based on biomotor and anthropometric databases to accelerate the search for talented athletes and sports recommendations efficiently and accurately. Biomotor and anthropometric test items are adopted from the talent scouting test scoring system of the Ministry of Youth and Sports of the Republic of Indonesia. The development method consists of the following stages: (1) performing needs analysis through surveys and interviews, (2) designing a talent identification model with a flow diagram, (3) developing a talent identification model using the Entity-Relationship Model, (4) testing the validity of the model by material and media experts using the Content Validity Index, and (5) conducting field trials with battery tests and anthropometric measurements. Producing talent identification software called Talent Identification Development (TIDev). Expert validation showed the I-CVI validity index of 0.93 (material) and 0.90 (media), indicating the high effectiveness of TIDev in identifying potential athletes and providing sports recommendations. A trial of 40 junior high school students showed that 34 students felt that the recommendations were based on their interests and talents, covering 12 recommended sports. TIDev can accelerate and simplify athlete recruitment, providing accurate and reliable sports analysis and recommendations.https://journal.foundae.com/index.php/jcss/article/view/529talent identificationsoftwareathlete recruitmentanthropometricsbiomotor. |
| spellingShingle | Muhammad Ramli Buhari Jance Jacob Sapulete Muhammad Imran Hasanuddin Susilawati Susilawati Smart Sports Recruitment: Leveraging Software for Talent Precision Journal of Coaching and Sports Science talent identification software athlete recruitment anthropometrics biomotor. |
| title | Smart Sports Recruitment: Leveraging Software for Talent Precision |
| title_full | Smart Sports Recruitment: Leveraging Software for Talent Precision |
| title_fullStr | Smart Sports Recruitment: Leveraging Software for Talent Precision |
| title_full_unstemmed | Smart Sports Recruitment: Leveraging Software for Talent Precision |
| title_short | Smart Sports Recruitment: Leveraging Software for Talent Precision |
| title_sort | smart sports recruitment leveraging software for talent precision |
| topic | talent identification software athlete recruitment anthropometrics biomotor. |
| url | https://journal.foundae.com/index.php/jcss/article/view/529 |
| work_keys_str_mv | AT muhammadramlibuhari smartsportsrecruitmentleveragingsoftwarefortalentprecision AT jancejacobsapulete smartsportsrecruitmentleveragingsoftwarefortalentprecision AT muhammadimranhasanuddin smartsportsrecruitmentleveragingsoftwarefortalentprecision AT susilawatisusilawati smartsportsrecruitmentleveragingsoftwarefortalentprecision |