ANALISIS PERMINTAAN PRODUK PETERNAKAN DI DESA TAWAANG KECAMATAN TENGA KABUPATEN MINAHASA SELATAN
Bibliographic record
Abstract
ABSTRACT ANALYSIS OF LIVESTOCK PRODUCT DEMAND AT TAWAANG VILLAGE, TENGA DISTRICT SOUTH MINAHASA REGENCY. The purpose of this study was to determine the number of *Alumni Fakultas Peternakan Unsrat **Jurusan Sosial Ekonomi Peternakan livestock product demand in Tenga district. The problem this study was how far demand factors such as prices of chicken meat, pork, beef meat, fish, tofu and fermented soybean (tempe) affected the level of demand for livestock products in Tenga district.The total number of samples used in this study were 45 respondents of households. Data collection was conducted during 3 months using the survey method. The analysis used was the model of SUR (Seemingly Unrelated Regression) using the equation of the demand function. The results showed that the numbers of livestock product demand in the Tenga district were chicken meat of 3.04 kg/quarter, pork of 3.24 kg/quarter, beef of 1.29kg/quarter, and egg product of 64.56 eggs/quarter. Therefore; factor of the prices of chicken meat, pork, beef, fish, tofu and fermented soybean (tempe) influenced the demand of livestock products. Keywords: Demand, prices, animal product.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".