PEMANFAATAN PROGRAM CAD (COMPUTER AIDED DESIGN) DALAM PERHITUNGAN VOLUME PEKERJAAN BANGUNAN
Bibliographic record
Abstract
Di dunia pendidikan saat ini pemakaian suatu program komputer sangat membantu dalam kegiatan belajar mengajar. Salah satu program komputer yang paling di kenal dan sering dipakai di dunia pendidikan arsitektur salah satunya adalah program CAD (Computer Aided Design). CAD telah berkembang dengan sangat cepatnya dimulai dari CAD Release 12 dan sampai kini telah berkembang sampai CAD v.2014. Didalam kegiatan belajar mengajar Pembuatan Rencana Anggaran Biaya (RAB) adalah salah satu materi yang cukup sulit untuk di terima secara maksimal. Untuk itulah diperlukan suatu cara yang cukup efektif untuk menjelaskan hal tersebut secara nyata (3 dimensional) dan bukan hanya sekadar gambar 2 dimensional (2D). CAD sangat membantu di dalam dunia arsitektur dimana pekerjaan pembuatan gambar baik dalam bentuk 2 dimensi maupun 3 dimensi. Di dalam bentuk 3 dimensi inilah dunia awam dapat melihat secara jelas bangunan yang sedang direncanakan tersebut. Namun di lain pihak bentuk 3 dimensi ini tidak saja dapat menampilkan gambaran bangunan secara utuh, namun juga dapat menghitung volume pekerjaan dari perencanaan bangunan tersebut.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.113 | 0.030 |
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".