MENINGKATKAN KEMAMPUAN KOGNITIF MELALUI MODIFIKASI PEMBELAJARAN SENTRA DI RA NURUL IDA KECAMATAN GEBANG KABUPATEN LANGKAT
Bibliographic record
Abstract
AbstrakKemampuan dasar yang dapat dikembangkan pada anak salah satunya adalah kemampuan kognitif, karena kemampuan kognitif anak di RA Nurul Ida Langkat masih sangat rendah. Tujuan peneliatian adalah untuk meningkatkan kemampuan kognitif melalui modifikasi pembelajaran sentra di RA Nurul Ida Langkat. Prosedur penelitian ini adalah penelitian tindakan kelas, yang melalui beberapa tahapan yaitu perencanaan, pelaksanaan, pengamatan, serta refleksi. Penelitian yang dilakukan di RA Nurul Ida ini menggunakan PTK dengan melihat sampel dari kelompok B di RA Nurul Ida, Tekhnik penggumpulan data dilakukan dengan cara observasi, Tanya jawab, diskusi serta dokumentasi dengan menggunakan tekhnik analisis deskritif . Teknik Analisis data dengan meneliti setiap aspek kegiataan penelitian pada waktu dilaksanakan penelitian serta dianalisa secara baik, Hasil penelitian bahwa ada peningkatan kemampuan kognitif anak melalui metode pembelajaran sentra di RA Nurul Ida dari kondisi awal yang hanya 3 anak (21%) meningkat di siklus pertama menjadi 6 orang anak (42 %) dan di siklus yang kedua mencapai 12 anak (85 %).Maka dapat disimpulkan kemampuan kognitif anak dapat meningkat melalui medifikasi pembalajaran sentra di RA Nurul Ida langkat.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".