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Record W4413332793 · doi:10.29313/bcsurp.v5i2.20316

Identifikasi Faktor-Faktor Penyebab Peri Urbanization di Kabupaten Cirebon Bagian Timur

2025· article· en· W4413332793 on OpenAlexaff
Ainin Baisti Fauziyah, Ira Safitri Darwin

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsUrbanizationBiology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.234
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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