PENERAPAN KONSEP LIVABLE STREET DALAM PENATAAN KORIDOR JALAN MULAWARMAN KOTA BALIKPAPAN
Bibliographic record
Abstract
Konsep livable street adalah pendekatan urban design yang bertujuan menciptakan jalan yang mengutamakan kebutuhan manusia daripada kendaraan, dengan merancang jalan yang aman, nyaman, dan menyenangkan bagi semua orang tanpa memandang usia, kemampuan, atau moda transportasi. Berdasarkan Rencana Detail Tata Ruang (RDTR) dan Peraturan Zonasi (PZ) Kota Balikpapan 2021-2041, Jalan Mulawarman diusulkan menjadi jalan nasional dengan fungsi arteri primer. Di Koridor Jalan Mulawarman, kawasan industri terletak di antara kawasan perdagangan, jasa, dan permukiman, mencampur kegiatan industri dan aktivitas lainnya. Dengan berbagai aktivitas ini, diperlukan konsep jalan yang memaksimalkan fungsi, khususnya jalur pedestrian. Metode analisis yang digunakan adalah walkthrough analysis dan triangulasi. Perumusan konsep penataan koridor Jalan Mulawarman dengan pendekatan livable street dilakukan dengan menggabungkan hasil dari sasaran pertama dengan hasil wawancara dan konsep teori indikator keberhasilan teori livable street, sehingga dapat diperoleh rumusan konsep penataan koridor Jalan Mulawarman dengan pendekatan livable street. Hasil yang diperoleh mencakup kriteria khusus untuk konsep livable street di koridor Jalan Mulawarman, yakni peningkatan kualitas jalur pedestrian di segmentasi 1 dan 2, serta penyediaan jalur pedestrian di segmentasi 3. Selain itu, fasilitas pemberhentian transportasi publik berupa halte disediakan di segmentasi 3. Peningkatan material perkerasan jalur pedestrian dilakukan di segmentasi 1 dan 2, sementara penyediaan material ini dilakukan di segmentasi 3. Ketiga segmen penelitian melibatkan pengaturan ketinggian tepian jalan dan ramp. Penyediaan penerangan, tempat duduk, vegetasi, peneduh, rambu, marka penyeberangan, serta pembatas fisik diterapkan pada semua segmen, termasuk marka parkir di segmen 1 dan 2.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.080 | 0.019 |
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".