PEMBUATAN MODUL PEMBELAJARAN AUTOCAD PADA MATA PELAJARAN APLIKASI PERANGKAT LUNAK DAN PERANCANGAN INTERIOR GEDUNG DI SMK NEGERI 3 YOGYAKARTA
Bibliographic record
Abstract
Tujuan dari kajian ini adalah untuk mengetahui: (1) tahapan pembuatan modul pembelajaran AutoCAD di SMK Negeri 3 Yogyakarta dan (2) kelayakan modul pembelajaran AutoCAD berdasarkan pendapat ahli materi, ahli media, dan guru. Kajian ini merupakan jenis penelitian pengembangan dengan model 4-D yang terdiri dari empat langkah penelitian. Pengumpulan data dilakukan dengan angket yang didukung kegiatan observasi dan wawancara. Hasil kajian menunjukkan bahwa (1) produk modul pembelajaran dapat disusun dengan proses yang menghasilkan materi mencakup: a) definisi perangkat lunak AutoCAD; b) tampilan dan tahapan pengelolaan file AutoCAD; c) prinsip gambar dua dimensi; d) persiapan menggambar dengan AutoCAD; e) pembuatan gambar detail; f) pembuatan gambar rancangan; g) pembuatan etiket gambar dan pencetakan gambar. Sementara itu, (2) hasil validasi modul berdasarkan ahli materi mendapatkan skor 3,55 dengan kategori sangat layak. Validasi berdasarkan ahli media mendapatkan skor 3 dengan kategori layak. Sedangkan validasi guru mendapatkan skor2,95 dengan kategori layak.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".