Identifikasi Faktor-Faktor Penyebab Peri Urbanization di Kabupaten Cirebon Bagian Timur
Bibliographic record
Abstract
Abstract. The rapid pace of urbanization in Indonesia has given rise to various social, economic, and spatial dynamics, including the phenomenon of peri-urbanization occurring in suburban areas. The development of the Rebana region, as one of the government's strategic programs to stimulate economic growth, has the potential to accelerate land-use changes and settlement patterns in the eastern part of Cirebon Regency. The transformation of this area into a hub of industrial and residential activities reflects the influence of regional development policies on the expansion of urbanization and spatial planning challenges in the region. This study aims to identify the driving factors behind peri-urbanization in eastern Cirebon Regency. The data used in this research consists of primary data obtained through questionnaire surveys and secondary data collected through a literature review approach. The analytical method employed is multiple linear regression analysis. The results indicate six significant factors driving peri-urbanization: ease of economic and investment development, high employment opportunities, accessibility, low disaster risk, land value affordability, and spatial planning policies, with a combined contribution of 77%. These findings highlight the importance of integrated spatial planning and the development of new growth centers as part of a strategy to manage urbanization and leverage the opportunities arising from the development of the Rebana region over the next five years. Abstrak. Tingginya laju urbanisasi di Indonesia telah memunculkan berbagai dinamika sosial, ekonomi, dan tata ruang, termasuk fenomena peri urbanization yang terjadi di daerah pinggiran kota. Perkembangan Kawasan Rebana, sebagai salah satu program strategis pemerintah untuk mendorong pertumbuhan ekonomi, berpotensi mempercepat perubahan penggunaan lahan dan pola pemukiman di Kabupaten Cirebon Bagian Timur. Transformasi wilayah ini menjadi pusat aktivitas industri dan perumahan mencerminkan pengaruh kebijakan pengembangan kawasan terhadap perluasan urbanisasi dan tantangan tata ruang di daerah tersebut. Studi ini bertujuan mengidentifikasi faktor penyebab terjadinya peri urbanization di Kabupaten Cirebon Bagian Timur. Data dalam penelitian ini terdiri atas data primer, yang diperoleh menggunakan survei kuesioner, dan juga data sekunder yang diperoleh menggunakan pendekatan studi pustaka. Metode analisis yang digunakan dalam penelitian ini ialah analisis regresi linear berganda. Hasil analisis menunjukkan bahwa terdapat enam faktor signifikan yang mendorong terjadinya peri urbanization, yaitu kemudahan mengembangkan ekonomi dan investasi, peluang kerja yang tinggi, aksesibilitas, rendahnya risiko bencana, keterjangkauan nilai lahan, dan kebijakan tata ruang, dengan kontribusi pengaruh sebesar 77%. Temuan ini menegaskan pentingnya perencanaan tata ruang yang terpadu serta pengembangan pusat-pusat pertumbuhan baru sebagai bagian dari strategi pengelolaan urbanisasi dan pemanfaatan peluang dari pengembangan Kawasan Rebana dalam lima tahun ke depan.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".