Valuation Economy Restoration Program of Mangrove Forest Pasarbanggi Village District of Rembang
Bibliographic record
Abstract
This study aims to identify the problems and find the economic value of mangrove forest restoration program utilization of village Pasarbanggi Rembang. The research of using the DPSIR analysis and cost-benefit analysis methods which include Net Present Value (NPV), Interest Rate of Return (IRR), Net B/C Ratio, and Payback Period. DPSIR analysis results known that human activity is divided into two types, namely constructive and destructive. constructive activity derives from the awareness of local people who have had a positive outlook towards the sustainability of mangrove resources and desire to contribute to conservation. More destructive activity resulting from external factor. The results of the cost-benefit analysis method shows that the NPV is obtained by using the discount factor of 9% amounting to IDR 4.990.339.459- with an IRR of 16.73%, Net B/C Ratio of 1.77 with the returns can be achieved after 8 years 9 the moon. The value of mangrove forest to reviewed by value to the option with the highest biodiversity of mangrove forests is IDR 12.328.200- per year.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".