ANALISIS KOMPETENSI PEDAGOGIK GURU GEOGRAFI DI SMA SE-KECAMATAN HAMPARAN PERAK TAHUN AJARAN 2017/2018
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui Kompetensi Pedagogik Guru Geografi di SMA Se-Kecamatan Hamparan Perak Kabupaten Deli Serdang. Penelitian ini dilaksanakan di Kecamatan Hamparan Perak Kabupaten Deli Serdang Tahun 2017. Adapun populasi dalam penelitian ini adalah seluruh guru geografi yang mengajar di SMA Se-Kecamatan Hamparan Perak dan sekaligus menjadi sampel (total sampel) yang berjumlah 7 orang guru. Adapaun Teknik Pengumpulan Data yang digunakan untuk mengukur kompetensi pedagogik guru geografi adalah dengan menggunakan teknik observasi dan dokumentasi dengan menggunakan Instrumen Penilaian Kinerja Guru (IPKG). Teknik analisis data yang digunakan yaitu Deskritif Kualitatif. Hasil penelitian ini menunjukkan bahwa kompetensi pedagogik guru geografi dalam aspek perencanaan pembelajaran dengan menggunakan RPP termasuk dalam kategori Cukup (79,62) dan dilihat dari aspek pelaksanaan pembelajaran guru geografi masih termasuk dalam kategori Kurang (64,03). Dengan demikian, hasil penelitian yang diperoleh adalah bahwa Analisis Kompetensi Pedagogik Guru Geografi di SMA Se-Kecamatan Hamparan Perak Tahun Ajaran 2017/2018 dapat dikategorikan dalam kemampuan Cukup (71,82). Kata kunci: guru, kompetensi, pedagogik
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 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".