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Record W4410571940 · doi:10.25139/jprs.v6i1.5193

Analisis Consumable Dan Biaya “Manual Cutting Oxy-Lpg†Pelat Kapal Dengan Variasi Posisi Pemotongan

2023· article· en· W4410571940 on OpenAlex
Bagus Kusuma Aditya, Tri Agung Kristiyono, Intan Baroroh

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGe-STRAM Jurnal Perencanaan dan Rekayasa Sipil · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

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%.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.026
GPT teacher head0.247
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it