MétaCan
Menu
Back to cohort
Record W2805820131 · doi:10.20961/jiptek.v12i1.19952

ANALISIS PENGARUH PEMASANGAN JENIS TURBO CYCLONE DAN INTAKE MANIFOLD MODIFIKASI TERHADAP KONSUMSI BAHAN BAKAR PADA SEPEDA MOTOR KARBURATOR

2019· article· id· W2805820131 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

VenueJurnal Ilmiah Pendidikan Teknik dan Kejuruan · 2019
Typearticle
Languageid
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPhysicsInlet manifoldThermodynamics

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui penurunan konsumsi bahan bakar pada sepeda motor dengan pemasangan jenis turbo cyclone dan intake manifold modifikasi dibandingkan dengan kondisi sepeda motor standar. Penelitian dilakukan dengan menggunakan putaran mesin atau rotation per minutes (rpm) sebagai variabel kontrolnya, yaitu pada 1500 rpm, 4500 rpm dan 7500 rpm. Metode yang digunakan dalam penelitian ini adalah metode eksperimen. Hasil dari penelitian ini adalah konsumsi bahan bakar mengalami penurunan paling baik pada saat menggunakan free vane turbo cyclone dengan intake manifold standar dengan rata-rata penurunan sebesar 0,67 ml/menit atau 13,4% pada putaran mesin 1.500 rpm, pada putaran mesin 4.500 rpm sebesar 1,5 ml/menit atau 11,54%, dan pada putaran mesin 7.500 rpm sebesar 1,5 ml/menit atau 7,5%. Dan untuk jumlah total konsumsi bahan bakar mengalami penurunan sebesar 11 ml/menit atau 9,65% bila dibandingkan dengan kondisi standar.

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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