ANALISIS EFISIENSI BIAYA PRODUKSI MIE PADA UD MIE UJANG KABUPATEN JEMBER
Bibliographic record
Abstract
This study aims to measure the level of efficiency of raw noodle production costs at UD Mie Ujang, Jember Regency with standard costs as a reference in the use of production costs. This research belongs to the type of quantitative descriptive research. The type of data used is the main data in the form of production cost report documents of UD Mie Ujang, Jember Regency for the first quarter of 2022 and supporting data in the form of interview results related to the condition of production cost reports. The research informants are the owners and employees of UD Mie Ujang, Jember Regency. The results showed that the use of raw noodle production costs at UD Mie Ujang, Jember Regency in the first quarter of 2022 showed efficient results. The use of production costs is more efficient in producing super raw noodles compared to ordinary raw noodles. The results of cost efficiency can be used as a consideration and decision in determining the selling price of the next product.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".