Hubungan Aktivitas Olahraga dengan Prestasi Akademik pada Atlet Akademi Arema U-14
Bibliographic record
Abstract
Abstract: The purpose of this study was to determine whether there is a relationship between sports activities and the academic achievement of Arema Football Academy U-14 athletes. This study uses the correlational method. The population and sample in this study were Arema Football Academy athletes aged 13-14 years consisting of 20 athletes. The research instrument used the physical activity questionnaire for older children (PAQ-C) and adolescents (PAQ-A) manual (Peter R. E. Crocker University of British Columbia - Vancouver) and school report cards. The data analysis technique used the product moment correlation test. The results showed (1) There was a significant relationship between sports activities and academic achievement (penjas) with a strength of relationship of rcount 0.533 greater than rtable equal 0.227, (2) There was a significant relationship between sports activities and academic achievement (IPA) with a strength relationship of rcount 0.483 greater than rtable equal 0.227, (3) There is a significant relationship between sports activities and academic achievement (IPS,) with the strength of the relationship of rcount 0.652 greater than rtable equal 0.227, (4) There is a significant relationship between sports activities and academic achievement with the strength of the relationship of rcount 0.729 greater than rtable equal 0.227 The conclusion of this study is that there is a significant relationship between sports activities and academic achievement. Abstrak: Tujuan dari penelitian ini adalah untuk mengetahui apakah ada hubungan antara aktivitas olahraga dengan prestasi akademik atlet Arema Football Academy U-14. Penelitian ini menggunakan metode korelasional. Populasi dan sampel dalam penelitian ini adalah atlet Arema Football Academy usia 13-14 tahun yang terdiri dari 20 atlet. Instrumen penelitian ini menggunakan The physical activity questionnaire for older children (PAQ-C) and adolescents (PAQ-A) manual (Peter R. E. Crocker University of British Columbia – Vancouver) dan Nilai rapor sekolah. Teknik analisis data menggunakan uji korelasi product moment. Hasil penelitian menunjukkan (1) Ada hubungan yang signifikan antara Aktivitas olahraga dengan prestasi akademik (pjok) dengan kekuatan hubungan sebesar rhitung 0.533lebih dari rtabel sama dengan 0.227, (2) Ada hubungan yang signifikan antara Aktivitas olahraga dengan prestasi akademik (ipa) dengan kekuatan hubungan sebesar rhitung 0.483 lebih dari rtabel sama dengan 0.227, (3) Ada hubungan yang signifikan antara Aktivitas olahraga dengan prestasi akademik (ips,) dengan kekuatan hubungan sebesar rhitung 0.652 lebih dari rtabel sama dengan 0.227, (4) Ada hubungan yang signifikan antara Aktivitas olahraga dengan prestasi akademik dengan kekuatan hubungan sangat kuat dan koefisien korelasi sebesar r hitung 0.729 lebih dari rtabel sama dengan 0.227. Kesimpulan penelitian ini ada hubungan yang signifikan antara aktivitas olahraga dengan prestasi akademik.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".