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Record W7117295192 · doi:10.11594/untad.jan.6.1.20183

ANALISIS EFISIENSI BIAYA PRODUKSI MIE PADA UD MIE UJANG KABUPATEN JEMBER

2025· article· W7117295192 on OpenAlex
Nadia Isnaini, S Kantun, Dwi Herlindawati

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal Akun Nabelo Jurnal Akuntansi Netral Akuntabel Objektif · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicAgricultural Research and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsRaw materialProduction (economics)Production costQuarter (Canadian coin)Cost analysis

Abstract

fetched live from OpenAlex

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.010
Science and technology studies0.0040.001
Scholarly communication0.0040.005
Open science0.0040.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.022
GPT teacher head0.283
Teacher spread0.260 · 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