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Record W4292209112 · doi:10.35138/gp.v3i2.347

Kajian Penentuan Sistem Pusat Pelayanan Kawasan Perkotaan di Kecamatan Jatinangor

2021· article· id· W4292209112 on OpenAlexaff
Achmad Saeful Fasa, Ina Revayanti

Bibliographic record

VenueGEOPLANART · 2021
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsForestryHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Perkotaan merupakan kawasan pemukiman yang secara fisik ditunjukan oleh kumpulan permukiman dan memiliki fasilitas untuk mendukung kehidupan warganya secara mandiri. Jatinangor merupakan kecamatan yang terdapat di Kabupaten Sumedang yang sudah mencirikan Kawasan Perkotaan. Untuk dapat mengoptimalkan perkembangan kawasan perkotaan di Kecamatan Jatinangor, maka sistem pusat pelayanan kawasan perlu diarahkan ke dalam rencana tata ruang kawasan. Metode data pada penelitian menggunakan teknik observasi dan untuk metode analisis yang digunakan pada penelitian menggunakan deskritif kuantitatif. Hasil akhir dari penelitian ini adalah hierarki pusat pelayanan kawasan di Kecamatan Jatinangor yang terdiri dari 12 Desa terbagi kedalam tiga hierarki pusat pelayanan. Hierarki pertama yaitu Pusat Pertumbuhan Kawasan yang terdiri dari Desa Hegarmanah, Cipacing, Sayang, Cikeruh, dan CIbeusi. Kemudian hierarki kedua adalah Pusat Kegiatan Perindustrian yang terdiri dari Desa Cintamulya, Jatimukti, Mekargalih, dan Cisempur.untuk hirari yang ketiga yaitu Pusat Permukiman yang terletak di Desa Jatiroke, Cileles, dan Cilayung. Bentuk struktur Pusat Pelayanan Perkotaan Jatinangor merupakan konsep konsentris, dengan pola perkembangan perkotan berada di tengah-tengah kawasa sebagai daerah pusat kawasan. Bentuk struktur Perkotaan Jatinangor pembangunan konsep konsentris, pola perkembangan kotanya berada di tengah-tengah Perkotaan Jatinangor sebagai daerah pusat Kawasan

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.004

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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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