MODIFIKASI PEMBELAJARAN AKTIVITAS PERMAINAN KASTI UNTUK MENINGKATKAN WAKTU AKTIF BELAJAR SISWA \n: Studi Penelitian Tindakan Kelas di SDN Sirnasari Kabupaten Tasikmalaya
Bibliographic record
Abstract
Penelitian ini dilatar belakangi oleh permasalahan rendahnya waktu aktif belajar siswa dalam permainan bola kasti di kelas IV di SDN Sirnasari Tasikmalaya. Cara pemecahan masalah dalam penelitian ini yaitu menerapkan modifikasi alat pemukul plastik dan bola karet. Tujuannya untuk mengetahui sejauh mana penggunaan modifikasi alat bantu alat tersebut terhadap waktu aktif belajar siswa di kelas IV SDN Sirnasari Tasikmalaya. Metode penelitian yang digunakan dalam penelitian ini yaitu metode Penelitian Tindakan Kelas atau classroom action research. Dalam penggunaan metode ini peneliti menggunakan dua siklus. Dalam setiap siklusnya terdiri dari dua tindakan. Instrument yang digunakan adalah waktu aktif belajar siswa. Variabel bebas dalam penelitian ini adalah pemukul plastik dan bola karet. Sementara variable terikatnya adalah waktu aktif belajar siswa. Untuk populasi dalam penelitian ini adalah siswa-siswi Kelas IV SDN Sirnasari Tasikmalaya. Dari analisis data didapat data awal ketindakan satu sebanyak 9,78%. Tindakan dua meningkat menjadi 27,83%. Tindakan tiga meningkat hingga 54,31%. Dari Tindakan empat meningkat 77,92%. \nDari hasil penelitian ini dapat disimpulkan bahwa dengan adanya modifikasi alat bantu berupa pemukul plastik dan bola karet, dapat meningkatkan waktu aktivitas belajar siswa dalam permainan bola kasti di SDN Sirnasari Tasikmalaya. \n ---------- This research is motivated by low active student learning time in a kasti game Class IV SDN in Sirnasari Tasikmalaya. the way to solve this problem in this research is applied by modificate the plastic bat and rubber. The Methode that used Namely Classroom Action Research. In use this method Researcher use two cycle method. In every cycle consists of two action. The instrument used is Time Active learning students. The free Variables Research is a plastic bat and a rubber ball. While the dependent variable is time to learn Active Students. The Research Methods Used Research Methods Classroom Action Research. The population in this research is the students of Class IV SDN Sirnasari Tasikmalaya. From the first data obtained One action data analys as much as 9.78%. The act of two action increased up Being 27.83%. in the Three action increased Up 54.31%. and the fourth actions is Increased 77.92%. From the results of this research findings concluded, that the modification tools Form plastic bat and a rubber ball, can increase the time crimpers Students learn a kasti game at SDN Sirnasari Tasikmalaya.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".