Analisis Kadar Histamin pada Produk Olahan Ikan Pindang di Kabupaten Sidoarjo, Jawa Timur Menggunakan ELISA
Bibliographic record
Abstract
Histamin merupakan salah satu indikator keamanan mutu pangan untuk produk olahan ikan. Histamin dimungkinkan terkandung pada ikan pindang karena beberapa faktor. Penelitian ini bertujuan untuk mengetahui kadar histamin pada ikan pindang yang dijual dan dikonsumsi oleh masyarakat serta faktor-faktor yang mempengaruhi terbentuknya dan kenaikan kadar histamin pada ikan pindang. Sampel ikan pindang diperoleh dari beberapa pasar tradisional di Sidoarjo dan diuji menggunakan metode ELISA. Hasil uji terhadap beberapa parameter menujukkan bahwa nilai pH berkisar antara 6,05 – 6,95; kadar air 13,11 – 27,79%; kadar garam 6,71 – 12,31%; dan kadar histamin 4,143 – 11,450 ppm. Kadar histamin tertinggi diperoleh dari sampel ikan pindang dengan kadar air yang tinggi dan kadar garam yang rendah.
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.
How this classification was reachedexpand
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 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.000 |
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 teacher head, 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".