PENGARUH TATAGUNA LAHAN TERHADAP BESARAN BANJIR DAN SEDIMEN DAS KRUENG KEUREUTO ACEH UTARA
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
Penelitian banjir dan sedimen Sungai Krueng (Kr) Keureuto dilakukan untuk mengetahui pengaruh perubahan data guna lahan dan perilaku sedimen. Lingkup penulisan meliputi pengumpulan data sedimen, peta daerah aliran sungai (DAS), data curah hujan, penentuan curah hujan dan debit banjir rencana, analisa sedimen DAS dan perhitungan produksi sedimen akibat banjir. Metode yang digunakan dalam analisa hidrologi adalah metode momen. Hasil analisa menunjukkan bahwa data hujan cenderung mengikuti distribusi harga ekstrim (extreme value), sedangkan hubungan cerah hujan dan debit banjir rencana menunjukkan hubungan logaritmik. Hubungan linear diperoleh untuk korelasi antara besarnya debit banjir dan debit sedimen. Hasil penelitian ini sangat bermanfaat untuk program penanggulangan banjir Sungai Krueng Keureuto.Kata kunci: banjir, sedimen, momen statistik
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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