Kajian Penerapan Konsep Green City di Kecamatan Antapani Kota Bandung
Bibliographic record
Abstract
Abstract. In the Asian Green City Index Concept, there are 8 attributes, namely: (1) Transportation, (2) Environmental Governance, (3) Land use and Building, (4) Air Quality, (5) Sanitation, (6) Water, (7) Waste, and (8) Energy and CO2. Several cities in Indonesia have implemented the Green City concept in development planning and rejuvenation of certain areas within the city. For example, Bandung City carries the Green City concept by improving the quality of the city's green open spaces in the form of thematic parks. However, the increasingly rapid urbanization has made the outskirts of Bandung City, specifically in Antapani District, increasingly dense and various problems arise such as flooding, traffic jams and the lack of green open space. Therefore, this study aims to identify the application of the Green City concept in Antapani District. This study uses a questionnaire with a linkert scale, interviews, documentation, and literature studies. Based on the analysis results, a value of 3.27 was obtained and is included in the sufficient category in the application of the Green City concept. The lowest value is in the transportation aspect due to the lack of public transportation facilities in Antapani, while the highest value is in the waste aspect. Abstrak. Pada Konsep Asian Green City Index terdapat 8 atribut yaitu: (1) Transportation, (2) Environmental Governance, (3) Land use and Building, (4) Air Quality, (5) Sanitation, (6) Water, (7) Waste, dan (8) Energy and CO2. Beberapa kota di Indonesia telah menerapkan konsep Kota Hijau dalam perencanaan pembangunan serta peremajaan kawasan tertentu dalam kota. Contohnya, Kota Bandung yang mengusung konsep Kota Hijau dengan peningkatan kualitas ruang terbuka hijau kota berupa taman-taman tematik. Namun semakin pesatnya urbanisasi menjadikan daerah pinggiran Kota Bandung tepatnya di Kecamatan Antapani menjadi semakin padat dan timbul berbagai masalah seperti banjir, kemacetan dan masih kurangnya RTH. Oleh karena itu penelitian ini bertujuan untuk mengidentifikasi penerapan konsep Green City di Kecamatan Antapani. Penelitian ini menggunakan kuesioner dengan skala linkert, wawancara, dokumentasi, dan studi pustaka. Berdasarkan hasil analisis didapatkan nilai sebesar 3,27 dan termasuk kedalam kategori cukup dalam penerapan konsep Green City. Nilai terrendah yaitu pada aspek transportasi karena masih kurangnya fasilitas transportasi umum di Antapani, sedangkan nilai tertinggi yaitu pada aspek sampah.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".