Coastal Village Model Based on Fishery Agribusiness in Donggala Regency, Indonesia
Bibliographic record
Abstract
The high level of economic development activities in this coastal area should have a positive impact on the level of community welfare, but this development has not been felt evenly by all communities, especially those in coastal villages.This study aims to examine and develop the concept of developing a coastal village model based on sustainable fisheries agribusiness in Donggala Regency.The current phenomenon of rural development that is occurring in Donggala Regency is the large potential that is not followed by the development of its regional development, caused by not properly managing its development efforts by optimizing the existing potentialThis research is developmental research with a survey approach.The variables measured in this study are variables needed for the development of coastal villages which include technical feasibility and future development feasibility.To find out the two feasibilities, data are needed, including: 1) data on areas that have potential indications for development; 2) regional economic data; 3) social and population data; and 4) data on ecology, infrastructure, and institutions.The data obtained from research on the development of a coastal village model based on fisheries agribusiness in Donggala Regency were analyzed using a dynamic system analysis approach.Donggala Regency is an agricultural area so that agriculture has a dominant role in the economic structure.The contribution of the agricultural sector to Gross Regional Domestic Product (GRDP) was above 35.11percent or 4,114,846.1 million rupiah in 2020.Overall, Donggala Regency's GRDP continues to increase from year to year.The fishery business carried out by fishermen is an individual business.Various capture fisheries businesses, from modern to small scale, operate along the waters of Donggala Regency.The conceptual model in developing coastal villages in Donggala Regency which is applied with an ethical management approach that is integrated into the fisheries agribusiness system will have implications for community protection, increase in income, and sustainable fisheries management.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".