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Record W4391284359 · doi:10.24843/mite.2023.v22i02.p10

Analisis Efisiensi Energi antara Lampu LED dan Lampu Konvensional (Studi kasus: Pada Hotel Cap Karoso)

2023· article· id· W4391284359 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

VenueMajalah Ilmiah Teknologi Elektro · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Lampu LED merupakan salah satu contoh metode efisiensi dari lampu konvensional karena hasil efisiensi energinya yang lebih tinggi. Pada penelitian ini dilakukan analisis perbandingan efisiensi listrik antara lampu LED dan lampu konvensional. Penelitian ini mengumpulkan data dari sejumlah lampu yang digunakan pada studi perbandingan lampu LED dan lampu konvensional pada Hotel Cap Karoso dan diuji dalam kondisi yang sama. Jenis lampu LED yang digunakan adalah recessed downlight, track light, pendant light dan wall scone. Sementara jenis lampu konvensional yang digunakan adalah incandescent, halogen, fluorescent dan HID. Dilakukan perbandingan dan perhitungan dari sisi energi watt dan biaya listrik. Berdasarkan parameter tersebut dapat dilihat energi yang dihasilkan dan biaya yang dibutuhkan dari kedua jenis lampu LED dan lampu konvensional. Berdasarkan perhitungan dan perbandingan kedua jenis lampu yang digunakan, didapatkan perhitungan bahwa lampu LED dapat menghemat energi dan penghematan biaya sebesar 27%.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.008

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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