Perencanaan Geometrik Simpang Susun Double Trumpet Pada Jalan Tol Jakarta – Serpong Berdasarkan Transportation Association Of Canada Geometric Design Guide 2007
Bibliographic record
Abstract
ABSTRAK PT. Bintaro Serpong Damai telah merencanakan Jalan Tol Jakarta-Serpong sejak Tahun 1993 dan belum direalisasikan pembangunannya. Perancangan ulang dilakukan menggunakan peraturan TAC (Transportation Association of Canada) Geometric Design Guide 2007. Perancangan alinyemen horisontal dan alinyemen vertikal dengan superelevasi maksimum 6% dan kecepatan rencana 40 km/jam. Perancangan lengkung horisontal dibuat dua buah lengkung compound curve menggunakan gabungan radius yaitu R1= 200 m dan R2= 75 m. Panjang lengkung On Ramp 01 berdasarkan TAC 2007 L= 395,6 m dan lengkung vertikal cembung L= 8 m menggunakan faktor k= 4 dan A= 2 %. Kata kunci : Alinyemen, Simpang Susun, Compound Curve. ABSTRACT T. Bintaro Serpong Damai had planned Jakarta-Serpong Toll Road since 1993 and the development has not been realized. This research redesign using TAC (Transportation Association of Canada) Geometric Design Guide 2007. The horizontal alignment and vertical alignment design using maximum superelevation 0.06 and speed plans 40 km / h. The horizontal curved design consist of two curved compound curve and using the combined radius is R1 = 200 m and R2 = 75 m. On Ramp 01 arch length by TAC Geometric Design Guide 2007 is L = 395,6 m and a vertical crest curved design using factor k = 4, and A = 2% is L = 8 m. Keywords : Alignment, Interchange, Compound Curve.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.151 | 0.053 |
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".