Upaya Meningkatkan Hasil Belajar Siswa Menggunakan Metode Field Trip Dalam Pembelajaran IPS Di SD Negeri 56 Aek Batu Kecamatan Torgamba
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui penggunaan metode field trip materi Sisitem Perekonomian Indonesia dapat meningkatkan hasil belajar siswa kelas IV SD Negeri 56 Aek Batu Kecamatan Torgamba. Penelitian ini adalah penelitian tindakan kelas dengan 2 siklus, setiap siklus terdiri 4 kegiatan yaitu perencanaan, tindakan, observasi dan refleksi yang diikuti oleh perencanaan pada siklus berikutnya dengan memanfaatkan hasil refleksi sebelumnya Subjek penelitian adalah siswa kelas IV SD Negeri 56 Aek Batu Kecamatan Torgamba Tahun Ajaran 2021/2022 sebanyak 40 orang. Temuan penelitian menunjukkan pembelajaran IPS dengan penerapan metode pembelajaran field trip dapat meningkatkan hasil belajar siswa dibuktikan dengan meningkatnya hasil belajar setiap siklus yaitu dari rata-rata 67,67 menjadi rata-rata 83,19.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 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".