PERANCANGAN STRUKTUR ATAS JEMBATAN SUNGAI MESIM MENGGUNAKAN RANGKA BAJA BERDASARKAN SNI 1725:2016
Bibliographic record
Abstract
Salah satu sungai yang terdapat di Pulau Rupat adalah Sungai Mesim. Jembatan yang melintasi sungai tersebut merupakan jembatan beton bertulang.. Sesuai dengan peraturan Bina Marga untuk rintangan sepanjang 40 - 200 m maka jenis jembatan rangka baja merupakan jenis yang ekonomis. Oleh karena itu didalam penelitian ini penulis melakukan peranaan ulang struktur atas Jembatan Sungai Mesim menggunakan rangka baja. Perencanaan ini bertujuan untuk mendapatkan dimensi struktur atas yang efektif, tahap pelaksanaan dan Rencana Anggaran Biaya. Perencanaan ini mengacu kepada SNI 1725:2016 tentang pembebanan jembatan, RSNI T-03-2005 tentang perencanaan struktur baja untuk jembatan, dan SNI T-12-2004 tentang perencanaan struktur beton. Jembatan ini direncanakan dengan panjang 52 m. Berdasarkan hasil perencanaan diperoleh tebal slab jembatan 200 mm, gelagar memanjang menggunakan IWF 350.175.7.11, gelagar melintang menggunakan IWF 700.300.13.24, rangka utama menggunakan IWF 400.400.13.21 dan ikatan angin menggunakan IWF 150.150.7.10.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".