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Record W3113359755 · doi:10.53712/rjrs.v5i1.855

Evaluasi Kinerja Sistem Manajemen Keselamatan dan Kesehatan Kerja (SMK3) Pada Proyek Attic Showroom dan East Coast Center 2 Di Surabaya

2020· article· id· W3113359755 on OpenAlexaff
Juliandres Unitly, Feri Harianto, Dian Listyaningsih

Bibliographic record

VenueRekayasa Jurnal Teknik Sipil · 2020
Typearticle
Languageid
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesMathematicsArt

Abstract

fetched live from OpenAlex

A BSTRA K : Sektor konstruksi adalah salah satu sektor yang paling beresiko terhadap kecelakaan tenaga kerja, kerugian jiwa, material, uang, dan waktu merupakan hasil-tentu saja yang akan dipindahkan secara langsung pada saat menjalankan proyek konstruksi. Untuk mencegah kecelakaan pada pelaksanaan pekerjaan konstruksi diwajibkan untuk menerapkan Sistem Manajemen Keselamatan Dan Kesehatan Kerja (SMK3) di lokasi kerja. Oleh karena itu penelitian ini bertujuan untuk menerapkan Aplikasi Manajemen Keselamatan Dan Kesehatan Kerja (SMK3) dan perbedaan kinerja pada proyek konstruksi yang ada di kota surabaya. Penelitian ini menggunakan metode Fisher Exact Probabilitydengan mengambil data yang dilakukan melalui kuesioner yang telah dibagikan kepada masing-masing responden sesuai dengan kriteria yang telah ditentukan pada proyek yang disetujui. Hasil dari penelitian ini berdasarkan Peraturan Mentri Tenaga Kerja (permenaker) no.5 tahun 1996, untuk Proyek Attic Showroom Dharmahusada nilai rata-rata memenangkan 76,74 persen dengan predikat baik, dan Proyek East Coast Center 2 nilai rata-rata hasil 84, 92 persen dengan predikat memuaskan. Sementara itu, penilaian yang dilakukan menunjukkan perbedaan signifikan antara 12 kriteria audit Sistem Manajemen Keselamatan dan Kesehatan Kerja (SMK3) menurut permenaker no.50 tahun 1996 terkait 8 item yang memiliki perberbedaan yang signifikan dan 4 item pada poin Pembangunan dan Pemeliharaan Komitmen,

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)0.003
metaresearch head score (Gemma)0.001
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 categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.002

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 head0.095
GPT teacher head0.366
Teacher spread0.271 · 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
Published2020
Admission routes1
Has abstractyes

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