POTENSI PENGEMBANGAN KAWASAN BERBASIS TOD PADA KAWASAN STASIUN PASAR SENEN
Bibliographic record
Abstract
TOD merupakan perencanan kawasan berkelanjutan yang mengintegrasikan antara kebutuhan transportasi dengan efisiensi lahan perkotaan. Kawasan Senen merupakan salah satu kawasan strategis di Jakarta karena merupakan pusat kegiatan sekunder dan juga Pusat Pelayanan Kota. Melalui RDTR DKI Jakarta 2022 dan Perpres No 60 tahun 2020 tentang Rencana Tata Ruang Kawasan Perkotaan Jabodetabekpunjur, Stasiun Pasar Senen ditetapkan sebagai TOD Kota. Penelitian ini bertujuan untuk mengukur potensi eksisting Kawasan Stasiun Pasar Senen sebagai kawasan TOD kota. Pengukuran dilakukan dengan menghitung TOD Indeks yang berasal dari indikator–indikator utama dalam perancangan kawasan TOD. Hasil dari penelitian ini menunjukkan bahwa Kawasan Stasiun Pasar Senen belum optimal sebagai TOD Kota. Nilai TOD indeks Kawasan Stasiun Pasar Senen adalah 0.63 yang tergolong cukup tinggi melebihi 0.5 namun masih jauh dari nilai optimal TOD. Kondisi saat ini masih jauh dari prinsip-prinsip TOD, khususnya pada kepadatan kawasan serta infrastruktur pejalan kaki. Pengembangan TOD Kawasan Stasiun Pasar Senen perlu memaksimalkan fungsi lahan campuran dan penyediaan infrastruktur pejalan kaki.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.009 |
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".