Penerapan GMP pada UKM Keripik SEMAT (Sehat dan Nikmat)
Bibliographic record
Abstract
Keripik Semat Desa Tenjo merupakan Usaha Kecil Menengah (UKM) yang telah memiliki PIRT dengan nomor 2153201010561-22. Meski demikian UKM ini masih memerlukan prosedur-prosedur untuk memenuhi persyaratan-persyaratan kualitas pangan yang baik. Penelitian ini bertujuan untuk menganalisis masalah keterbatasan UKM dalam memenuhi persyaratan-persyaratan kualitas pangan yang baik. Dalam penelitian ini permasalahan dianalisis dengan metode observasi, FGD, dan wawancara secara mendalam. Acuan GMP yang dirujuk merupakan standar yang dipakai oleh Food Safety Center of Manitoba (2018). Penerapan Good Manufacturing Practice (GMP) di UKM Keripik Tenjo telah memenuhi syarat-syarat CPPB-IRT pada level 4 (PIRT). Namun diperlukan kontrol yang lebih baik pada peralatan, peningkatan nilai praktek personal, penerapan prosedur penjagaan kebersihan bahan, kontrol lingkungan, pengontrolan penggorengan, pengemasan, dan storage.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.011 |
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".