Meningkatkan Hasil Belajar Menendang (Shooting) Sepak Bola Melalui Modifikasi Latihan Target
Bibliographic record
Abstract
Tujuan Penelitian. Dalam meningkatkan hasil belajar Menendang (Shooting) Pada Permainan Sepak Bola Melalui Modifikasi Latihan Target pada siswa kelas IV SDS KARTIKA VIII-2 semester genap pada tahun ajaran 2019/2020 Metode Penelitian. penelitian tindakan kelas yang mengikuti model Kemmis dan Taggart. Penelitian ini mencakup 2 siklus dimana masing-masing siklus mencakup 4 tahap yaitu planning (perencanaan), acting (pelaksanaan), observasing (pengamatan), reflecting (refleksi). subjek penelitian sebanyak 25 siswa, sedangkan data dikumpulkan melalui test dan obsevasi Hasil. Hasil penelitian menunjukkan bahwa terjadi peningkatan hasil belajar yang signifikan pada siswa kelas IV. Hal ini dibuktikan dengan persentase siswa kelas IV yang mencapai nilai KKM tes Menendang (Shooting) dalam permainan sepakbola pada setiap siklusnya. Pada siklus I = 64%; siklus II = 88%, dengan hasil persentase tersebut terbukti pada siklus I ke siklus II mengalami peningkatan sebesar 24%. Kesimpulan. Menendang (Shooting) Pada Permainan Sepak Bola Melalui Modifikasi Latihan Target dapat meningkatkan keterampilan Menendang (Shooting) siswa.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.015 |
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".