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Record W7027492936

DETERMINAN PENDAPATAN USAHA PADA INDUSTRI GENTENG DI WILAYAH KABUPATEN SITUBONDO

2019· other· id· W7027492936 on OpenAlex

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

VenueUniversity of Jember Repository (Universitas Jember) · 2019
Typeother
Languageid
FieldAgricultural and Biological Sciences
TopicFungal Plant Pathogen Control
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTraditional economy
DOInot available

Abstract

fetched live from OpenAlex

Proses industrialisasi dan pembangunan industri sebenarnya merupakan satu jalur
\nkegiatan untuk meningkatkan kesejahteraan rakyat dalam arti tingkat hidup yang
\nlebih maju maupun taraf hidup yang lebih bermutu. Industri kecil mempunyai
\nperanan yang cukup besar dalam menyokong perekonomian masyarakat bahkan
\npada masa krisis yang melanda Indonesia. Penelitian ini membahas tentang
\n“Determinan Pendapatan Usaha Pada Industri Genteng di Wilayah Kabupaten
\nSitubondo”. Tujuan dilakukan penelitian ini adalah untuk mengetahui signifikasi
\npengaruh signifikan atau tidak variabel modal, jumlah tenaga kerja, lama usaha,
\nteknologi dan pangsa pasar terhadap pendapatan usaha industri genteng.
\nPenelitian ini menggunakan metode Ordinary Least Square (OLS). Hasil
\npenelitian menunjukkan bahwa variabel modal, jumlah tenaga kerja, teknologi
\ndan pangsa pasar mempunyai pengaruh signifikan terhadap pendapatan usaha
\nindustri genteng. Sedangkan variabel lama usaha tidak berpengaruh signifikan
\nterhadap pendapatan usaha industri genteng.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.010
GPT teacher head0.160
Teacher spread0.150 · 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