Analisis Hidrolika pada Uji Model Pelimpah Bendungan Warsamson Papua Barat dengan Pendekatan Perangkat Lunak Autodesk Computational Fluid Dynamics (CFD)
Bibliographic record
Abstract
Indonesia memiliki kekayaan sumber daya air yang melimpah dan dimanfaatkan untuk kesejahteraan rakyat. Beberapa permasalahan pun terjadi seperti banjir dan kekeringan yang melanda Kabupaten Sorong, Papua Barat. Upaya pemerintah dilakukan melalui Badan Wilayah Sungai (BWS) Papua Barat berupa pembanguanan Bendungan Warsamson. Tahap awal pembangunan diawali dengan perencanaan konstruksi oleh konsultan kemudian dilanjutkan pembuatan model fisik. Pemodelan fisik dilaksanakan di Laboratorium Pengelolaan Sumber Daya Air (PSDA) Terpadu Universitas Brawijaya. Selain model fisik dilakukan juga penyesuaian desain dalam bentuk model tiga dimensi dengan pendekatan perangkat lunak Autodesk Computational Fluid Dynamics (CFD) untuk mengetahui sifat hidrolis pada bendungan secara mendetil pada bangunan pelimpah Bendungan Warsamson. Penelitian ini menggunakan bantuan perangkat lunak lain berupa Autodesk AutoCAD dan Inventor. Luaran penelitian berupa hasil simulasi yang memuat data nilai profil muka air, kecepatan aliran, dan tekanan hidrostatis sebagai parameter utama dalam perencanaan Bendungan Warsamson. Hasil simulasi pengaliran debit banjir pada model tiga dimensi pelimpah Bendungan Warsamson memenuhi standar desain.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".