POLA PEMBELAJARAN TEACHING FACTORY PADA PROGRAM KEAHLIAN TEKNIK FURNITUR DI SMK NEGERI 1 PURWOREJO
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it