Analisis Consumable Dan Biaya “Manual Cutting Oxy-Lpg†Pelat Kapal Dengan Variasi Posisi Pemotongan
Bibliographic record
Abstract
Manual Cutting is part of the process in ship building and ship repair. Oxy-LPG gas is widely used in the process of cutting plates with manually or automatically method. In the process cutting of plates in ship repair, the cutting position are Down Hand, Vertical and Overhead in cause the gas consumable and cutting duration proces are still not widely known numerically. In improving the data, a survey and initial study are needed as a support, so to obtain standard data for manual plate cutting numerically, plate cutting experiments are carried out in several variations in position and plate thickness variations. The results of the equation in manual plate cutting Downhand obtained Y=43,667x-43 (Duration), Y=0.0875x-0.2833 (O2) and Y=0.051x-0.0922 (Lpg). Vertical Y=34,667x-9,333 (Duration), Y=0,1042x-0.3778 (O2) and Y=0,0608x+0,1033 (Lpg) while Overhead Y=33.667x+28,111 (Duration), 0, 0792x+0.0922 (O2) and Y=0.1008x-0.2433 (Lpg). For the cost analysis, it was found that the cost increase was 8.49% based on the function of the increase in plate thickness. If it is based on the position function, the average cost increase is 10.55%.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".