ANALISIS PROFIL MANAJEMEN LABORATORIUM DALAM PEMBELAJARAN KIMIA DI SMA WILAYAH SUMEDANG
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mendeskripsikan profil manajemen dan penggunaan laboratorium pada pembelajaran kimia, meliputi kelengkapan dan penataan alat bahan praktikum, manajemen administrasi dan efektivitas penggunaan laboratorium kimia. Mengingat laboratorium sebagai penunjang pembelajaran kimia juga berperan penting dalam membangkitkan motivasi belajar dan pengembangan keterampilan dalam praktikum. Penelitian ini menggunakan metode deskriptif menggunakan pendekatan kualitatif. Subjek penelitian terdiri dari 2 SMA Negeri dan 1 SMA Swasta di wilayah Sumedang. Pengumpulan data menggunakan metode observasi, angket, dan wawancara. Analisis data menggunakan teknik persentase dengan analisis deskriptif kualitatif. Berdasarkan hasil penelitian, ketersediaan alat praktikum kimia di SMA wilayah Sumedang tergolong kategori lengkap (69,67%) dengan kondisi sangat baik (96,6%), namun ketersediaan bahan praktikum kimia tergolong kategori kurang lengkap (45,3%) meskipun dalam kondisi sangat baik (95%). Penataan alat praktikum kimia tergolong kategori sangat baik (81%), sedangkan penataan bahan praktikum tergolong kategori baik (71%). Administrasi alat bahan praktikum tergolong kategori kurang lengkap (48,6%), namun penggunaanya sangat efektif (100%). Administrasi ketenagakerjaan tergolong kategori sangat lengkap (76%). Efektivitas penggunaan laboratorium di SMA wilayah Sumedang tergolong kategori kurang efektif (42,4%). Faktor penyebabnya terkait dengan kelengkapan, penataan serta administrasi alat bahan laboratorium dan penjadwalan, selain itu dari sudut pandang guru kimia terkait penting atau tidaknya praktikum dilaksanakan pada beberapa materi.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".