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Record W4401769336 · doi:10.25105/agora.v22i1.18218

STUDI TENTANG JALUR EVAKUASI TERHADAP BAHAYA KEBAKARAN PADA BANGUNAN MALL (STUDI KASUS : MILAN KOPO MALL, BANDUNG)

2024· article· id· W4401769336 on OpenAlexaff
Fadhila Dila, Amat Rahmat

Bibliographic record

VenueAGORA Jurnal Penelitian dan Karya Ilmiah Arsitektur Usakti · 2024
Typearticle
Languageid
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Kebakaran merupakan suatu bencana yang merugikan, baik dari segi fisik maupun materi. Belakangan ini kasus kebakaran masih tinggi di Kota Bandung bahkan salah satunya kebakaran terjadi pada bangunan publik yaitu pusat perbelanjaan atau mall. Pada kasus kebakaran ini akan dilakukan studi mengenai jalur evakuasi terkait desain yang diterapkan terhadap bahaya kebakaran. Permasalahan yang diteliti oleh penulis adalah mengidentifikasi jalur evakuasi dan membandingkan standar jalur evakuasi menurut NFPA 101 dan SNI tahun 2000 & 2001. Metode penelitian yang digunakan berupa metode deskriptif kuantitatif, dengan tahapan survei, dokumentasi, mendesain, mengukur, dan mengkomparasi data. Hasil penelitian menunjukkan bahwa masih ada permasalahan di lapangan terhadap jalur evakuasi di Miko Mall, Bandung. Komparasi standar pada penelitian ini dilakukan pada komparasi tangga evakuasi dan pintu darurat, komparasi titik kumpul, komparasi jarak antar tangga darurat, dan komparasi tanda arah evakuasi (signage). Hasil akhir menjelaskan bahwa hampir seluruh variabel jalur evakuasi di Milan Kopo Mall, Bandung memenuhi standar NFPA 101 dan SNI.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.027
GPT teacher head0.243
Teacher spread0.216 · 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 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
Published2024
Admission routes1
Has abstractyes

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