Kajian Permasalahan Jalur Pedestrian Di Jalan Husein Kartasasmita Kota Banjar, Jawa Barat
Bibliographic record
Abstract
Abstract. This research aims to examine the problem of pedestrian paths on Jalan Dr. Husein Kartasasmita, Banjar City, West Java, with a focus on identifying problems and recommending improvements. The research method used was quantitative with Likert scale analysis as well as a field observation approach and questionnaires to 20 sources consisting of experts, stakeholders and experts. The research results show that the condition of pedestrian paths on Jalan Husein Kartasasmita is generally poor, with an average score of 2.15 based on Likert scale analysis. Some of the main problems identified include non-compliance with sidewalk widths with standards, damage to sidewalk construction, lack of supporting facilities such as lighting, seating, trash cans and public transportation stops, as well as the absence of disabled-friendly facilities such as guideways and handrails. The recommendations put forward include revitalizing sidewalks, adding supporting facilities, and improving accessibility for people with disabilities. It is hoped that this research can be a consideration for the city government in improving the quality of pedestrian infrastructure and increasing public awareness of the importance of safe and comfortable pedestrian paths. Abstrak. Penelitian ini bertujuan untuk mengkaji permasalahan jalur pedestrian di Jalan Dr. Husein Kartasasmita, Kota Banjar, Jawa Barat, dengan fokus pada identifikasi masalah dan rekomendasi perbaikan. Metode penelitian yang digunakan adalah kuantitatif dengan analisis skala likert serta pendekatan observasi lapangan, dan kuesioner terhadap 20 narasumber yang terdiri dari ahli, stakeholder, dan pakar. Hasil penelitian menunjukkan bahwa kondisi jalur pedestrian di Jalan Husein Kartasasmita secara umum buruk, dengan skor rata-rata 2,15 berdasarkan analisis skala Likert. Beberapa masalah utama yang teridentifikasi meliputi ketidaksesuaian lebar trotoar dengan standar, kerusakan konstruksi trotoar, kurangnya fasilitas pendukung seperti lampu penerangan, tempat duduk, tempat sampah, dan halte angkot, serta ketiadaan fasilitas ramah difabel seperti jalur pemandu dan pegangan tangan. Rekomendasi yang diajukan meliputi revitalisasi trotoar, penambahan fasilitas pendukung, dan perbaikan aksesibilitas bagi penyandang disabilitas. Penelitian ini diharapkan dapat menjadi bahan pertimbangan bagi pemerintah kota dalam meningkatkan kualitas infrastruktur pedestrian serta meningkatkan kesadaran masyarakat akan pentingnya jalur pedestrian yang aman dan nyaman.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".