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Record W4391517213 · doi:10.32315/jlbi.v5i4.228

Investigasi Ventilasi Gaya-Angin Rumah Tradisional Indonesia dengan Simulasi CFD

2016· article· id· W4391517213 on OpenAlex
‎ Suhendri, Mochamad Donny Koerniawan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Lingkungan Binaan Indonesia · 2016
Typearticle
Languageid
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Bangunan modern di Indonesia hampir selalu menggunakan peralatan mekanis untuk menyediakan kenyamanan termal di dalam bangunan. Sementara bangunan tradisional dikenal tidak menggunakan strategi aktif dalam menyediakan kenyamanan termal bagi penghuninya. Dengan memfokuskan pada ventilasi gaya-angin, studi ini bertujuan untuk mempelajari pola pergerakan udara dan perubahan angin di dalam rumah tradisional Indonesia. Dua rumah tradisional dipilih sebagai studi kasus, Rumah Lampung dan Rumah Jawa, untuk dianalisis dengan simulasi komputer menggunakan software CFD. Sejalan dengan hasil studi, ventilasi alami pada rumah tradisional di Indonesia berpotensi menyediakan kenyamanan termal di dalam bangunan. Desain Rumah Jawa lebih dapat mengalirkan udara secara merata di dalam bangunan tanpa turbulensi dibanding Rumah Lampung. Namun, ventilasi gaya-angin yang terjadi pada Rumah Lampung dan Rumah Jawa belum optimal dalam mengurangi temperatur di dalam ruangan.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0030.002
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 head0.031
GPT teacher head0.235
Teacher spread0.204 · 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