KAJIAN POLA OPERASI WADUK TUGU DENGAN INFLOW DEBIT ANDALAN DAN INFLOW DEBIT BANGKITAN AWLR
Bibliographic record
Abstract
Untuk mendapatkan pola operasi waduk Tugu yang efektif maka perlu adanya suatu kajian perbandingan antara inflow dari debit andalan dan inflow dari debit bangkitan AWLR. Pembangkitan debit Hujan dengan metode FJ. Mock. Data Debit yang di analisis adalah debit andalan 80 % dan 50 %. Untuk perhitungan debit bangkitan adalah perpanjangan data debit AWLR sampai dengan tahun 2020 dengan metode Thomas Fiering. Alternatif tanam menggunakan tiga alternatif tanam yaitu alternatif tanam I (padi-padi-padi), alternatif tanam II (padi-padi-palawija), alternatif tanam III (padi-palawija-palawija). Simulasi layanan dilakukan untuk setiap pola tata tanam dengan mengacu pada dua pendekatan yaitu luasan tanam irigasi 1200 Ha dan keberhasilan layanan 95 %. Alternatif tanam yang paling menguntungkan adalah alternatif tanam III (padi-palawija-palawija) dengan keuntungan Rp. 290.745.750.000,- dengan inflow debit andalan 50%. Dari hasil keseluruhan simulasi layanan tersebut dapat disusun grafik pola muka air waduk, sehingga didapatkan suatu bentuk rule curve operasi waduk Tugu.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".