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Record W4415183099 · doi:10.31869/rtj.v8i2.6700

ANALISIS STRATEGI SMK3 BERKELANJUTAN DENGAN PENDEKATAN SWOT PADA KONTRAKTOR LISTRIK DI PADANG

2025· article· en· W4415183099 on OpenAlex

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

VenueRang Teknik Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSWOT analysisWorkforceOutreachSuccess factorsWork (physics)

Abstract

fetched live from OpenAlex

The lack of workers' understanding of the importance of OHS (Occupational Health and Safety) contributes to the high rate of workplace accidents in electrical projects. This study aims to identify internal and external factors affecting the implementation of OHS Management Systems (SMK3) among electrical contractors and to formulate strategies using SWOT analysis. Data was collected through observations and questionnaires, then analyzed using IFAS, EFAS, IE Matrix, and SWOT.The IE Matrix results indicate that the company is in the "Growth and Build" category with an IFAS score of 3.8835 and an EFAS score of 4.0000, reflecting significant external pressures and opportunities for growth. Recommended strategies include improving SMK3 practices and intensifying SMK3 program development. SWOT strategies include: (1) S-O Strategy: enhancing SMK3 implementation and increasing workforce competency; (2) W-O Strategy: providing OHS training for workers; (3) S-T Strategy: conducting education and outreach on SMK3 implementation; and (4) W-T Strategy: developing detailed and strict OHS regulations. This approach aims to reduce workplace accidents.Keywords: Implementation Strategy, SMK3, IFAS, EFAS, SWOT

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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