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Record W7136057374 · doi:10.25170/jpk.v2i05.6974

Proyek Implementasi Instalasi Kelistrikan pada Usaha Mikro

2025· article· W7136057374 on OpenAlexaff
Veronica Windha Mahyastuty, Lanny M.M. Panjaitan, Eko Prasetyo Nugroho, Gilbert Tanaputra Gunawan, Bryan Setiaputra

Bibliographic record

VenueJurnal Praktik Keinsinyuran. · 2025
Typearticle
Language
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsElectricitySAFERBattery (electricity)Mains electricityElectric powerElectric energySystem safetyLiquefied petroleum gas

Abstract

fetched live from OpenAlex

Street coffee carts, as a form of micro-enterprise, often rely on 3-kg LPG gas and power banks to support their operations, particularly for lighting and water heating. However, this system has limited energy capacity and poses high safety risks. This report discusses the implementation of an alternative electrical system that is safer and offers more functionality by using a 12V car battery and a 1000W inverter as the energy source. The new system replaces the use of 3-kg LPG gas and power banks for powering heaters and LED lights, while still prioritizing Occupational Health and Safety (OHS) aspects. The analysis shows that the new design can provide a greater electricity supply (up to 720 Wh), allowing LED lights to operate for 11 hours and electric heaters for more than one hour. In addition, the system reduces the risk of fire caused by gas leaks and short circuits from wiring. This study demonstrates that a simple engineering approach can offer practical, efficient, and safe solutions for micro-entrepreneurs in urban environments.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.618
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.421
Teacher spread0.367 · 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
Published2025
Admission routes1
Has abstractyes

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