Peningkatan Kreativitas Belajar IPA Melalui Metode Problem Solving Pada Siswa Kelas IV SD Negeri 01 Lempong Kabupaten Karanganyar Tahun Pelajaran 2012/2013
Bibliographic record
Abstract
Tujuan khusus penelitian ini adalah untuk meningkatkan kreativitas belajar IPA materi Gerak Benda melalui penerapan metode pemecahan masalah (Problem Solving) pada siswa kelas IV SD Negeri 01 Lempong kabupaten Karanganyar Tahun Pelajaran 2012/2013. Penelitian dilakukan dengan menggunakan metode Penelitian Tindakan Kelas. Subjek dari penelitian ini adalah guru dan siswa kelas IV SD Negeri 01 Lempong tahun pelajaran 2012/2013. Objek penelitian ini adalah pembelajaran IPA siswa kelas IV SD Negeri 01 Lempong. Data dikumpulkan melalui metode observasi, dokumentasi, dan angket. Rancangan penelitian tindakan yang dipilih yaitu model siklus terdiri dari dua siklus. Setiap siklus meliputi unsur perencanaan, pelaksanaan, observasi dan refleksi. \nAnalisis data yang digunakan adalah model analisis interaktif mempunyai empat buah komponen pokok yaitu pengumpulan data, reduksi data, sajian data dan penarikan kesimpulan. Dari hasil analisis data menunjukkan adanya peningkatan kreativitas belajar IPA siswa melalui penerapan metode Problem Solving pada siswa kelas IV SD Negeri 01 Lempong siklus I mencapai 69,4% dan meningkat serta mencapai hasil optimal pada siklus II 88,6%.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.069 | 0.014 |
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".