Bibliographic record
Abstract
The coastal area of Eretan-Ilir, Indramayu Regency, faces serious problems in the form of tidal flooding which results in economic losses and environmental vulnerability. This study aims to analyze the suitability of implementing Nature-based Solutions (NbS) in efforts to reduce the risk of tidal flooding based on the classification of built-up and non-built-up areas. The method used is quantitative analysis through a spatial approach with overlay and intersect techniques using land cover data, spatial patterns, and inundation potential. The results show that non-built-up areas dominate with an area of 705.01 Ha (79%), while built-up areas cover 182.80 Ha (21%). The suitability of NbS in non-built-up areas includes mangrove restoration, biopores, bioswales, coastal nourishment, and silvofishery, while in built-up areas include coastal green corridors, green open space development, environmental education programs, green dikes, and vertical mangrove structures. Analysis of the suitability of NbS to spatial patterns shows that there are still incompatibilities, especially in Ilir Village with an area of 173.30 Ha. This study confirms that the implementation of NbS has the potential to increase the resilience of coastal areas to tidal flooding, but requires adjustments to spatial planning and community participation for optimal implementation.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".