FAKTOR-FAKTOR PENENTU KINERJA KEUANGAN USAHA AYAM BROILER DI KOTA KENDARI
Bibliographic record
Abstract
Financial performance is one of measure to determine the condition of a business. The objectives of this research are: (1) to analyze the financial performance of broiler business in Kendari City; and (2) to analyze determinant factors of financial performance of broiler business in Kendari City. Research method uses financial ratio analysis and path analysis. The research was conducted in Kendari City with 72 respondents. The results of the research showed that: (1) number of chickens average 3.849 tails, were managed by partnership method and 8 times production in a year; (2) financial performance of broiler business are profitable; (3) number of production positive influenced by number of Day Old Chicken (DOC), number of labor, wide of cage, and experience on farming ; (4) the influence factor of current ratio, total assets turn over ratio, and profitability are number of production, equity ratio, and experience on farming. Based on the research results, then recomendate to: (1) farmers need to increase the production capacity of each production cycle or expanding businesses to use assets more efficiently and the income generated is also greater; (2) therefore the financial performance of broiler business was positively affected by the number of production, equity ratio, and experience on farming, to be able to increase operating profit and financial performance of the business it is suggested that these three things improved.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".