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Record W4386541962 · doi:10.29313/bcsurp.v3i2.7916

Kajian Penyediaan Ruang Terbuka Hijau dalam Mewujudkan Kota Ramah Lingkungan di Kecamatan Gedebage Kota Bandung

2023· article· en· W4386541962 on OpenAlexaff
Sahda Aninda, Yulia Asyiawati, Weishaguna

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsUnavailabilityEnvironmental planningGeographySustainabilityResearch methodCivil engineeringArchitectural engineeringBusinessEnvironmental resource managementEngineeringEnvironmental scienceMathematicsStatisticsEcology

Abstract

fetched live from OpenAlex

Abstract. This research study study aims to examine the provision of green open spaces in the Gedebage District area to create a green city based on the ecological function aspect which is the main function of green open spaces as a producer of oxygen to increase the availability of clean and cool quality air, improve the quality of life of urban residents by providing comfortable open spaces, and improve environmental sustainability. The background of this research is the unavailability of fulfilling 20% of public green open space in Gedebage District and based on the disaster aspects of floods and earthquakes that almost the entire area of Gedebage District is in a high disaster-prone area so that disaster mitigation is needed by providing green open spaces as disaster management which has an ecological function so that it will create a safe, comfortable and sustainable area. The research method used is descriptive quantitative with a green city approach, especially green open space indicators. Data collection was carried out through field observations and literature studies. The method of analysis carried out is an analysis of the calculation of the need for green open space based on the number of residents and the need for oxygen which is calculated using the geometric method to determine the amount of oxygen demand (O2) and produce recommendations for types of oxygen-producing plants based on typology of green open spaces adjusted to applicable standards and in accordance with the characteristics of the research study area.
 Abstrak. Kajian studi penelitian ini bertujuan untuk mengkaji penyediaan ruang terbuka hijau pada wilayah Kecamatan Gedebage untuk mewujudkan kota yang ramah lingkungan berdasarkan pada aspek fungsi ekologis yang merupakan fungsi utama ruang terbuka hijau sebagai penghasil oksigen untuk meningkatkan ketersediaan udara yang berkualitas bersih dan sejuk, meningkatkan kualitas hidup penduduk perkotaan dengan penyediaan ruang terbuka yang nyaman, serta memperbaiki keberlanjutan lingkungan. Latar belakang penelitian ini adalah belum tersedianya pemenuhan 20% ruang terbuka hijau publik di Kecamatan Gedebage serta berdasarkan aspek kebencanaan banjir dan gempa bumi yang hampir seluruh wilayah Kecamatan Gedebage berada pada wilayah rawan bencana tinggi sehingga diperlukan mitigasi bencana dengan penyediaan ruang terbuka hijau sebagai penanggulangan bencana yang memiliki fungsi ekologis sehingga akan menciptakan wilayah yang aman, nyaman dan berkelanjutan. Metode penelitian yang digunakan adalah kuantitatif deskriptif dengan pendekatan kota hijau khususnya indikator green open space. Pengumpulan data dilakukan melalui observasi lapangan dan studi pustaka. Metode analisis yang dilakukan yaitu analisis perhitungan kebutuhan ruang terbuka hijau berdasarkan pada jumlah Penduduk dan kebutuhan oksigen yang dihitung menggunakan metode gerarkis untuk mengetahui besaran kebutuhan oksigen (O2) dan menghasilkan rekomendasi jenis tanaman penghasil oksigen berdasarkan tipologi ruang terbuka hijau yang disesuaikan dengan standar yang berlaku dan sesuai dengan karakteristik wilayah studi penelitian.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.098
GPT teacher head0.324
Teacher spread0.226 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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