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Record W4384305547 · doi:10.32315/jlbi.v9i4.138

Distribusi Pencahayaan Alami pada Gedung Olahraga

2019· article· id· W4384305547 on OpenAlexaff
Lucky Suryawijaya Elfrid Amping, Muhammad Ramli Rahim, Nurul Jamala Bangsawan

Bibliographic record

VenueJurnal Lingkungan Binaan Indonesia · 2019
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

GOR ASPOL adalah Gedung olah raga yang terdapat lapangan basket di dalamnya dan pada siang hari memanfaatkan cahaya alami. GOR diharuskan memiliki pencahayaan yang baik pada lapangan basket, dimana standar pencahayaan GOR menurut SNI 03-3647-1994 adalah 200 lux - 1000 lux . Pengambilan data dilakukan pada pukul 08.00, 12.00 dan 16.00 WITA dengan menggunakan Lux Meter. Pengambilan data pada kondisi eksisiting yang dilakukan pada pukul 08.00 dan 12.00 yaitu pada tanggal 23 Maret 2018, 2 April 2018 dan 3 April 2018, dimana besaran intensitas rata-ratanya sebesar 28,9 lux pada pukul 08.00 dan 31,25 lux pada pukul 12.00. Sementara pada pukul 16.00 dilakukan pada tanggal 23 Maret 2018, 26 Maret 2018 dan 28 Maret 2018 yaitu sebesar 28,17 lux. Pengambilan data untuk kondisi terpal penutup dibuka dilakukan pada tanggal 5 April 2018 yaitu 63,1 lux(08.00), 43,6 lux(12.00) dan 54,66 lux(16.00). Berdasarkan data pada kedua kondisi tersebut, intensitas pada lapangan tidak memenuhi standar, maka dilakukan perubahan pada dimensi dinding dengan menggunakan software Velux Visualizer. Pada simulasi dengan menggunakan software Velux Visualizer, dimensi dinding dikurangi hingga rata dengan tribun teratas (sisi barat, utara dan timur gedung) dan untuk sisi selatan, tinggi dimensi dinding dikurangi dari 525 cm dari lantai menjadi 325 cm. Dari simulasi tersebut didapatkan intensitas cahaya sebesar 173,5 lux - 397,9 lux(08.00), 539 lux - 681,2 lux (12.00) dan 196,5 lux - 418 lux(16.00).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0050.010

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 head0.034
GPT teacher head0.377
Teacher spread0.343 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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