SUMBERDAYA AIR BAGI PEMENUHAN MASYARAKAT DI KABUPATEN TASIKMALAYA JAWA BARAT
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
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.015 |
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