PENGEMBANGAN PRODUK OLAHAN TEPUNG SAYURAN DI DESA SINDON KECAMATAN NGEMPLAK KABUPATEN BOYOLALI
Bibliographic record
Abstract
In the Pemitra community service activities for Product Development Processed Vegetables in Desa Sindon, Ngemplak Boyolali, has been done by training, and assistance to the women of PKK, Aisyah and “Mawar” farmers group in Desa Sindon to improve the understanding, skills and marketing development products processed from starchy vegetables. In this Pemitra had conducted training activities to product of starchy vegetables, then trained the skill of making a wet noodle, instant noodles, crackers and biscuits from flour processed vegetables. The results that have been obtained from this Pemitra activities all women partners group have been able to get the skills to cultivate vegetable flour into wet noodles, instant noodles, crackers and biscuits. However, constraints and problems still faced was to start a business production and developing marketing of products processed starchy vegetables group of women who fostered still very low, so the follow-up to the next community services activities will be focused on to accompany the women group of PKK, Aisyah and farmers “Mawar” in terms of development, production, packaging, licensing P-IRT and marketing of products from starchy vegetables.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.008 |
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".