UPAYA BERTAHAN HIDUP INDUSTRI RUMAH TANGGA KERUPUK DI DESA KEDURNGREJO KECAMATAN JABON KABUPATEN SIDOARJO
Bibliographic record
Abstract
Upaya kelangsungan hidup dilaksanakan erat kaitannya dengan perusahaan yang dimiliki oleh usaha kecil menengah karena usaha itu sendiri langsung di kelola oleh pemilik dan fleksibel dalam beradaptasi dengan perubahan lingkungan. kerupuk jabon Kedungrejo di Kabupaten Sidoarjo.Penelitian ini termasuk penelitian deskriptif dengan metode kualitatif. Fokus masalah adalah masalah kelangsungan usaha home industry kerupuk Jabon Kedungrejo di Kabupaten Sidoarjo. Pengumpulan data melalui wawancara mendalam dengan informan. Yaitu pemilik industri rumah tangga kerupuk di desa Kedungrejo jabon kabupaten Sidoarjo. Kepala desa dan masyarakat konsumen kerupuk desa Kedungrejo / desa Kedungrejo. Teknik analisis data dalam penelitian ini menggunakan kualitatif teknik analisis data. Dari hasil penelitian dapat disimpulkan bahwa upaya kelangsungan usaha industri rumah tangga kerupuk di Kedungrejo Jabon Kabupaten Sidoarjo meliputi, inovasi produk kerupuk dengan berbagai macam varian, melibatkan generasi muda dalam pemasaran dan perluasan kegiatan produksi dan pemasaran yang didistribusikan dalam dan luar kota, hingga keluar pulau . Kata kunci: usaha, bertahan, industri rumah tangga, industri kerupuk.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.025 |
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".