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Record W2966923711 · doi:10.20527/jukung.v5i1.6209

ANALISIS KESESUAIAN TATA GUNA LAHAN RUANG HIJAU PERMUKIMAN DAN KECENDERUNGAN MASYARAKAT

2019· article· id· W2966923711 on OpenAlexaff
Dienny Redha Rahmani, Rosalina Kumalawati, Wahyunah Wahyunah

Bibliographic record

VenueJukung (Jurnal Teknik Lingkungan) · 2019
Typearticle
Languageid
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeographyHumanitiesForestryBusinessArt

Abstract

fetched live from OpenAlex

Ruang hijau pada dasarnya telah menjadi perhatian penting dalam menyusunan lahan di negara maju dan telah mendapat perhatian di negara berkembang salah satunya Indonesia. Hal ini tercermin dari telah disusunnya berbagai kebijakan terkait penyediaan hingga penataan ruang hijau baik tingkat komunal maupun pribadi. Sehingga perlu dianalisa kesesuaian kondisi aktual lingkungan ruang hijau permukiman baik komunal maupun privat pada aturan yang berlaku. Data diperoleh dengan menggunakan kuisioner dan pengamatan vegetasi permukiman (komunal dan pribadi) pada permukiman komplek perumahan dengan pedoman utama kebijakan pemerintah yaitu Peraturan Menteri Pekerjaan Umum No. 5 Tahun 2008 tentang Ruang Terbuka Hijau dengan didampingi oleh peraturan, perudang-udangan dan kebijakan terkait lain yang berlaku. Data yang diperoleh menunjukkan bahwa 80% masyarakat komplek/perumahan telah memiliki pekarangan yang sesuai dengan aturan yan berlaku. Kecenderungan untuk mimiliki pekarangan dengan kebaradaan vegetasi perdu dan tumbuhan bahwah terdapat pada 13,3% masyarakat. Hanya 6,6% pekarangan yang masih belum sesuai. Sehingga, dapat terlihat bahwa kondisi aktual ruang hijau permukiman dan kecenderungan masyarakat sebagian besar telah taat dan memahami pentingnya Ruang Hijau permukiman sesuai peraturan yang berlaku. Kata kunci : Pekarangan, Peraturan pemerintah, Ruang hijau permukiman, Tata guna lahan. Green space has basically become an important concern in the preparation of land in developed countries and has received attention in developing countries, including Indonesia. This is reflected in the formulation of various policies related to the provision of communal and private green spaces. So that it is necessary to analyze the suitability of the actual conditions of the environment of green spaces of both communal and private settlements in the applicable rules. Data were obtained using questionnaires and observations of residential (communal and private) vegetation in residential area with the main guidelines of government policy, namely the Minister of Public Works Regulation No. 5 of 2008 concerning Green Open Space accompanied by regulations, barriers and other relevant policies. The data obtained shows that 80% of the residential community already has a yard that is in accordance with the regulation. Only 6.6% of the yard is still not suitable. Thus, it can be seen that the actual conditions of the residential green space and the tendency of the majority of the community have obeyed and understood the importance of the Green Living settlement according to the applicable regulations. Keywords: Government Regulation, Land Use, Residential Green Space, Yard.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.023
GPT teacher head0.235
Teacher spread0.212 · 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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Citations1
Published2019
Admission routes1
Has abstractyes

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