KORELASI FASILITAS BELAJAR BLENDED LEARNING DAN LINGKUNGAN KELUARGA TERHADAP HASIL BELAJAR BIOLOGI PADA MASA PANDEMI COVID-19
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui korelasi antara fasilitas belajar pada pembelajaran Blended learning dan lingkungan keluarga dengan hasil belajar biologi pada masa pandemi Covid-19 di SMA Negeri 1 Kecamatan Lareh Sago Halaban. Jenis penelitian ini adalah penelitian kuantitatif deskriptif korelasional.. Populasi pada penelitian ini adalah seluruh siswa X IPA 1 sampai X IPA 5 yang berjumlah 177 orang siswa. Teknik pengambilan kelas sampel menggunakan teknik purposive random sampling dan teknik pengambilan sampel pada masing-masing kelas menggunakan teknik Stratified Random Sampling. Data dianalisa dengan menggunakan rumus korelasi Product Moment. Hasil uji signifikansi fasilitas belajar (x1) dengan hasil belajar (Y) diperoleh thitung =1,603 dan ttabel = 2,052 (thitung< ttabel) berarti fasilitas belajar tidak berkorelasi secara signifikan terhadap hasil belajar siswa (Y). Hasil uji signifikansi lingkungan keluarga (x2) diperoleh thitung= 2,259 dan ttabel = 2,052 (thitung>ttabel ) berarti lingkungan keluarga memiliki korelasi yang signifikan terhadap hasil belajar biologi siswa. Selanjutnya korelasi ganda dengan uji-F diperoleh Fhitung=1,222 dan Ftabel=3,380 (Fhitung
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".