Perkembangan Wilayah Peri-Urban Kota Bandung Bagian Selatan
Bibliographic record
Abstract
Abstract. The rapid development of the Bandung City area as the center of the Bandung Metropolitan Area has led to the expansion of the urban area into the outskirts. The peri-urban areas affected by the development of Bandung City include Dayeuhkolot District, Bojongsoang District, Baleendah District, Pameungpeuk District, Banjaran District, and Arjasari District, which are located in the southern part of Bandung City. Development must be aimed at achieving growth, equity, and sustainability. As a result, this rapid development can have both positive and negative impacts on spatial planning. This study aims to map the development of the peri-urban areas in the southern part of Bandung City, specifically in the Bandung-Banjaran Corridor. The analytical method used in this study is spatial analysis, including built-up area analysis and overlay. Based on the study results, the zoning development of the peri-urban area in Dayeuhkolot District falls into the zobikot category, while Banjaran District, Pameungpeuk District, Baleendah District, and Bojongsoang District fall into the zobidekot category. The influence of this development has led to spatial deviations that occurred in 2023, with identified deviations in built-up land covering an area of 958.14 hectares (4.86%). Abstrak. Pesatnya perkembangan wilayah Kota Bandung sebagai pusat Kawasan Metropolitan Bandung mengakibatkan perkembangan wilayah meluas ke wilayah pinggiran. Wilayah peri-urban yang terdampak oleh perkembangan Kota Bandung diantaranya Kecamatan Dayeuhkolot, Kecamatan Bojongsoang, Kecamatan Baleendah, Kecamatan Pameungpeuk, Kecamatan Banjaran, dan Kecamatan Arjasari yang terletak di bagian selatan Kota Bandung. Perkembangan pembangunan mesti ditujukan pada terjadinya pertumbuhan, pemerataan, dan keberlanjutan. Akibatnya perkembangannya yang pesat dapat berdampak positif dan negatif terhadap rencana tata ruang. Studi ini bertujuan untuk memetakan perkembangan wilayah peri-urban Kota Bandung bagian selatan khususnya di Koridor Kota Bandung – Banjaran. Metode analisis yang dilakukan dalam studi ini adalah analisis spasial berupa built up area dan overlay. Berdasarkan hasil studi, perkembangan zonasi wilayah peri-urban untuk Kecamatan Dayeuhkolot pada kategori zobikot, sedangkan Kecamatan Banjaran, Kecamatan Pameungpeuk, Kecamatan Baleendah dan Kecamatan Bojongsoang pada kategori zobidekot. Dari pengaruh perkembangan tersebut berdampak pada terjadinya peyimpangan ruang yang terjadi pada tahun 2023, berdasarkan hasil identifikasi perkembangan lahan terbangun mengalami penyimpangan seluas 958,14 (4,86%).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".