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Record W4403238598 · doi:10.29313/bcsurp.v4i3.14127

Evaluasi Tingkat Kenyamanan Termal Taman Kota di Kabupaten Bandung

2024· article· en· W4403238598 on OpenAlexaff
Faturrahman Gunawan, Verry Damayanti

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsForestryGeography

Abstract

fetched live from OpenAlex

Abstract. City parks are a medium for humans to interact and relieve fatigue and boredom in the midst of busy human activities, so city parks need to have supporting aspects such asthermal comfort. Thermal comfort is the air temperature condition in an environment suitable for human activities and basic human needs. The optimal thermal comfort will have a positive effect on the livability of a city and an important role in improving the quality of social and environmental life of the community, but in Bandung Regency, the air temperature exceeds the optimal temperature in Indonesia. Based on BPS Bandung Regency, the maximum temperature in 2019-2023 is in the range of 29.41°C-32.6°C which has an increase in air temperature of around 0.11°C in the last 4 years. In contrast, according to BMKG the air temperature in Bandung Regency should have a temperature range between 19°C-29°C. This is reinforced by the three city parks, namely the Soreang Square City Park, Baleendah City Park, and Ciwidey City Park which are still below 85%. So the city park should be a medium provider of thermal comfort becomes less optimal because of the lack of green cover. This study uses the Thermal Humidity Index (THI) analysis method with a quantitative approach and data collection techniques through field observations and literature studies. The results of the THI analysis obtained overall results in a comfortable category with an index value of 23, but the results of THI based on the measurement point obtained two results, the first being a comfortable category at 21- 23 at the point of pavement, grass cover and tree shade. Meanwhile, outside the park is categorized as quite comfortable at 25. So that the area outside the park needs additional vegetation to provide a shading effect. Abstrak. Keberadaan taman kota menjadi media bagi manusia untuk tempat berinteraksi dalam menghilangkan penat dan kejenuhan di tengah kesibukan aktivitas manusia, sehingga taman kota perlu memiliki aspek pendukung seperti kenyamanan termal. Kenyamanan termal ialah kondisi pada temperatur udara di suatu lingkungan yang sesuai untuk aktivitas manusia dan kebutuhan dasar manusia. Dengan adanya kenyamanan termal yang optimal akan memberikan efek positif terhadap kelayakan huni sebuah kota dan menjadi peran penting dalam meningkatkan kualitas kehidupan sosial dan lingkungan masyarakat, namun pada Kabupaten Bandung yang suhu udaranya melebihi suhu optimal di Indonesia. Berdasarkan BPS Kab. Bandung suhu maksimum tahun 2019-2023 berada di kisaran 29,41°C-32.6°C yang memiliki kenaikan suhu udara berkisar 0,11°C dalam 4 tahun terakhir, padahal menurut BMKG suhu udara di Kab. Bandung seharusnya memiliki suhu berkisar di antara 19°C-29°C. Hal ini diperkuat dengan ketiga taman kota yaitu taman kota Alun-Alun Soreang, taman kota Baleendah, dan taman kota Ciwidey yang masih di bawah 85%. Sehingga taman kota yang seharusnya menjadi media penyedia kenyamanan termal menjadi kurang optimal karena tutupan hijau yang kurang. Penelitian ini menggunakan metode analisis Thermal Humidity Indeks (THI) dengan pendekatan kuantitatif dan teknik pengumpulan datanya melalui observasi lapangan dan studi pustaka. Hasil analisis THI mendapatkan hasil secara keseluruhan berkategori nyaman dengan nilai indeks 23 namun hasil THI berdasarkan titik pengukuran mendapatkan dua hasil yang pertama kategori nyaman di angka 21-23 di titik perkerasan, tutupan rumput dan naungan pohon. Sementara itu, di luar taman berkategori cukup nyaman di angka 25. Sehingga area luar taman perlu penambahan vegetasi untuk memberikan efek peneduh.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.071
GPT teacher head0.251
Teacher spread0.179 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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