NAVAL JETTY STRUCTURE ANALYSIS (Case Study of The Jetty in Betano, Manufahi, Timor Leste)
Bibliographic record
Abstract
Rencana Pengembangan Infrastruktur Dermaga dan Fasilitas Angkatan Laut di Kotamadya Betano Manufahi oleh Kementerian Pertahanan dan Komite F-FDTL telah mengembangkan Otoritas Maritim dan Rencana Operasi Angkatan Laut untuk kebijakan strategis pertahanan masa depan di Laut Selatan. Rencana tersebut mengharuskan dibangunnya Fasilitas Angkatan Laut di Betano, Kotamadya Manufahi. Proyek ini bertujuan untuk menyediakan Fasilitas Pendukung Angkatan Laut untuk mengakomodasi operasi Angkatan Laut di Laut Selatan dalam hal dukungan logistik dan operasi keamanan angkatan laut. Survei batimteri dilakukan dengan jarak interval 25 m. Berdasarkan hasil batimetri wilayah survei perairan Betano, elevasi perairan tersebut berkisar antara 0 m sampai (-) 48 m LWS. Kondisi kedalaman cukup curam hingga kedalaman -20 m LWS dan lebih curam pada kedalaman perairan terbuka hingga kedalaman -48 m LWS di daerah survei. Rencana pembangunan jetty hingga kedalaman -5 meter LWS dengan jarak ± 100 m terbilang cukup dekat namun perlu memperhatikan kondisi ombak dan gelombang di perairan. Kapal terbesar yang berlabuh di dermaga Betano adalah OPV Class dengan panjang 75 m. Elevasi dermaga ideal berdasarkan kondisi gelombang adalah +6.52 mlws. Berdasarkan hasil perhitungan struktur jetty diperlukan dimensi struktur menggunakan tiang pancang baja dengan dimensi 508 mm tebal 12 mm dengan rasio kapasitas tiang sebesar 0,49 dan dimensi trestle 457,2 mm tebal 12 mm dengan rasio kapasitas tiang 0,545 dan dimensi trestle 508 mm tebal 12 mm dengan rasio 0,414.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".