Analisis Kerusakan Zona Inti Gumukpasir Di Parangtritis Menggunakan Pendekatan Geoindikator
Bibliographic record
Abstract
The area of sanddunes in Parangtritis is a unique natural phenomenon and needs to be preserved. The transfer of land functions on the dune affects the development and formation of sanddune. The restoration efforts of sanddunes are dividing the area into 3 zones and designation, one of them is the core zone that should be free of buildings and activities that inhibit the process of forming sanddunes. Information on the distribution of damage that has occurred in the Parangtritis sanddunes core zone is needed in order to monitor the development of the sanddunes as an effort to restore the dune ecosystem. The objectives of this research are (1) identify the spatial distribution of damage in the Parangtritis sanddunes core zone, and (2) analyze the factors causing the damage of the sanddunes in the Parangtritis sanddunes core zone. The method used in this research is descriptive survey research and analyze primary data obtained through field observation with the sand ripple geoindicator approach. The analysis used is field observation, descriptive statistical analysis and spatial analysis: descriptive. \nThe results of research in Parangtritis sanddunes core zone with an area of 141 ha, showed that the area of the sanddunes that is still active in the formation process is characterized by an undamaged sand ripple is 9,7 ha and an area where formation process is obstructed in view of the extent of damaged sand ripple is 131,39 ha. Ripple index value ranges from 12 - 50, the value of the ripple index parameter indicates that the sand formed is due to wind currents. The cause of the inhibition of the sand dunes formation is due to the presence of barrier objects that are vegetation in the wind tunnel from southeast to south.
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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 | 0.002 | 0.002 |
| 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) | 0.004 | 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".