POLA PEMBELAJARAN TEACHING FACTORY PADA PROGRAM KEAHLIAN TEKNIK FURNITUR DI SMK NEGERI 1 PURWOREJO
Bibliographic record
Abstract
Teaching factory merupakan suatu langkah dalam menyiapkan SDM yang unggul.. Tujuan Penelitian ini untuk 1) mengetahui proses pembelajaran teaching factory; 2) mengetahui sumber daya teaching factory yang dimiliki; 3) mengetahui produk yang dihasilkan dari kegiatan teaching factory; 4) mengetahui kerja sama teaching factory. Pengumpulan data dilakukan dengan wawancara dan observasi. Teknik analisis data menggunakan metode analisis deskiptif. Hasil penelitian menunjukan bahwa; 1) proses pembelajaran teaching factory telah terintegrasi cukup baik dengan Program Keahlian Teknik Furnitur; 2) sumber daya pendidik masih belum memenuhi jumlah yang seharusnya, serta kelengkapan sarana dan prasana di SMK Negeri 1 Purworejo masih kurang lengkap dari segi jumlah alat dan mesin, sehingga berpengaruh terhadap pelaksanaan praktik; 3) produk yang dihasilkan siswa kelas XI pada Program Keahlian Teknik Furnitur seperti almari, dipan, meja, kursi, rak cermin, pintu, dan jendela berdasarkan kebutuhan konsumen; 4) kerjasama antara pihak SMK Negeri 1 Purworejo dengan pihak industri furnitur belum terjalin, namun untuk kedepannya pihak sekolah terus berusaha untuk dapat berkerjasama dengan industri.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.104 | 0.021 |
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".