Identifikasi Formaldehida Dalam Tahu Dan Mie Basah Pada Produk Pedagang Jajanan Di Sekitar Kampus Universitas YARSI Jakarta
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.
Bibliographic record
Abstract
Formalin (larutan Formaldehida 37% dalam air) sering disalahgunakan fungsinya untuk mengawetkan makanan / bahan makanan seperti tahu dan mie basah. Di sekitar kampus Universitas YARSI Jakarta, banyak pedagang jajanan yang menggunakan bahan baku tahu dan mie basah, seperti gorengan tahu, tahu krispi, tahu goreng untuk ketoprak, baso tahu dan mie ayam. Tujuan penelitian ini adalah untuk menganalisis kandungan formaldehida pada tahu dan mie basah pada produk pedagang jajanan di sekitar kampus Universitas YARSI Jakarta. Analisis kualitatif adanya formaldehida dalam sampel, dilakukan dengan metode asam kromotropat yang dimodifikasi, dan analisis kuantitatif dengan metode spetrofotometri dengan pereaksi Nash pada 413 nm. Hasil penelitian menunjukkan bahwa semua produk berbahan baku tahu dan mie basah pada pedagang jajanan di sekitar kampus Universitas YARSI Jakarta menggunakan bahan baku tahu dan mie basah yang ditambah bahan pengawet formalin dengan kadar formaldehida dalam tahu berkisar antara (13,9-183,3) ppm dan dalam mie basah berkisar antara (13,9-408,3) ppm.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it