Penilaian Kerentanan Pesisir Berdasarkan Parameter Fisik di Pantai Utara Kabupaten Bekasi
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Northern part of Bekasi Regency (Pantura Bekasi) has diverse land: a port area, fisheries, marine tourism, agriculture, residential, industrial and government. Various types of development are occured to support the community welfare. Developments occur without considering sustainability will result in a decline of environmental conditions, and each region will have its own ability to anticipate the impacts of changes that occurs. This research studied coastal vulnerability in the Pantura Bekasi and the relationship between their coastal physical parameters and the vulnerability. Field observations were also conducted as field validation and perceive current conditions. The results show that vulnerability is very high in Fishery port (PPI) Muara Jaya port zone (Mekar Coast), and low vulnerability occurred in Taruma Jaya port zone (Taruma Jaya Coast). Two paramaters are different in these two locations, they are coastline change and geomorphological. The coastline change at Mekar Coast is abrasion, and Taruma Jaya Coast is accretion. The geomorphological at Mekar Coast are a muddy beach and delta, while Taruma Jaya Coast is a swampy beach. Field conditions show that Mekar Coast has low mangrove density, while Taruma Jaya Coast has high mangrove density. These results hopefully can be used as policy consideration for the local government in optimizing coastal management planning, where the spatial plan for Pantai Mekar Beach is designated as a conservation area and demersal fisheries, while on Pantai Taruma Jaya as a public use area such as for Gas and Steam Power Plant (PLTGU) Muara Tawar, PPI Paljaya and port zone.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it