MENGULAS PENYEBAB BANJIR DI WILAYAH DKI JAKARTA DARI SUDUT PANDANG GEOLOGI, GEOMORFOLOGI DAN MORFOMETRI SUNGAI
Bibliographic record
Abstract
IntisariBanjir sudah tidak dapat dipisahkan dari kehidupan masyarakat yang tinggal di wilayah DKI Jakarta dan sekitarnya. Setiap kali musim hujan tiba, Kota Jakarta seolah tidak pernah terlepas dari pemberitaan seputar kejadian banjir yang melanda wilayahnya. Tulisan ini mengulas faktor-faktor penyebab banjir di wilayah DKI Jakarta, terutama dari sudut pandang geologi, geomorfologi dan morfometri sungai yang mengalir dan melintasi wilayah DKI Jakarta. Penulis mengumpulkan bahan pustaka dari berbagai sumber untuk memberikan ulasan dan sebuah kesimpulan bahwa secara kodrat, Jakarta memang merupakan daerah banjir sehingga bagaimana pun, kejadian banjir akan sangat sulit untuk dihilangkan dari wilayah DKI Jakarta. AbstractFlood cannot be separated from the life of the people around DKI Jakarta. Everytime rainy season comes, Jakarta was never be apart from the news about flood incidence hit this region. This paper reviews some factors causing the floods especially from geological, geomorphological, and morphometrical point of view of the rivers flow across DKI Jakarta. The author gathered materials from various sources to give an analysis and conclusion that Jakarta, by nature, is flooded area so flood event will be very difficult to be removed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".