PENENTUAN POTENSI LOKASI SIMPUL-SIMPUL TRANSPORTASI DI KOTA BARU PATIMBAN
Bibliographic record
Abstract
Abstract The Rebana Metropolitan Area is planned as a connectivity and logistics center, with one of the agendas is the development of the Patimban New City, as a Port and Industrial City. The purpose of this study was to determine the potential locations for the construction and development of transportation nodes, namely stations, terminals, and Bus Rapid Transit Stops in Kota Baru Patimban. This study used a spatial analysis method, namely Space Syntax analysis, to obtain the values of connectivity and integrity of road sections, which are then elaborated with Analytical Hierarchy Process analysis. In the final stage, the results of the two analyzes are processed in the Fishnet Grid analysis. This study shows that, in general, the potential locations for transportation nodes are beside arterial or main roads, around activity centers and Patimban Port, and between two or more different land-uses. Keywords: connectivity; new city; transportation node; spatial analysis; land use Abstrak Kawasan Metropolitan Rebana direncanakan sebagai pusat konektivitas dan logistik, dengan salah satu agendanya adalah mengembangkan Kota Baru Patimban, sebagai Kota Pelabuhan dan Industri. Tujuan penelitian ini adalah untuk menentukan lokasi potensial pembangunan dan pengembangan simpul-simpul transportasi, yaitu stasiun, terminal, dan Halte Bus Rapid Transit di Kota Baru Patimban. Penelitian ini menggunakan metode analisis spasial, yaitu analisis Space Syntax, untuk memperoleh nilai-nilai konektivitas dan integritas ruas-ruas jalan, yang kemudian dielaborasi dengan analisis Analytical Hierarchy Process. Pada tahap akhir, hasil kedua analisis tersebut diolah dalam analisis Fishnet Grid. Studi ini menunjukkan bahwa secara umum potensi lokasi simpul transportasi berada di samping jalan arteri atau jalan utama, di sekitar pusat kegiatan dan Pelabuhan Patimban, dan di antara dua atau lebih penggunaan lahan yang berbeda. Kata-kata kunci: konektivitas; kota baru; simpul transportasi; analisis spasial; penggunaan lahan
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".