DETERMINAN PENDAPATAN USAHA PADA INDUSTRI GENTENG DI WILAYAH KABUPATEN SITUBONDO
Bibliographic record
Abstract
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.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".