SUMBERDAYA AIR BAGI PEMENUHAN MASYARAKAT DI KABUPATEN TASIKMALAYA JAWA BARAT
Bibliographic record
Abstract
ABSTRAK Keterdapatan sumberdaya air di wilayah Kabupaten Tasikmalaya perlu diketahui dengan pasti sehingga informasi tersebut dapat menunjang pembangunan wilayah ini. Untuk mengetahui keterdapatan sumberdaya air, penelitian dilakukan dengan memanfaatkan data kondisi geologi, daerah aliran sungai (DAS), iklim dan kebutuhan air. Untuk mengetahui kebutuhan air, dilakukan pendekatan data kependudukan. Bulan kering berlangsung pada bulan Agustus dan bulan basah antara bulan September sampai Juli. Curah hujan rata-rata bulanan berkisar antara 92-320 mm, dengan curah hujan tahunan 2532 mm. Evapotranspirasi bulanan berkisar antara 96-116 mm, sedangkan jumlah setahun 1307 mm. Cadangan air yang ada di Kabupaten Tasikmalaya berkisar antara 23 mm sampai 207 mm, dengan luas wilayah 2680,5 km2, sehingga cadangan air bulanan berkisar antara 1.306.515 m3 hingga 11.758.655 m3. Kebutuhan air untuk domestik adalah 222.150 m3/hari. Kelebihan air 169.805 m3/hr dapat digunakan untuk pertanian sekitar 117.920 Ha atau sekitar 393.067 Ha lahan palawija.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 0.013 |
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".