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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 OpenAlexaff
Bibid Widodo

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.010
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2019
Admission routes1
Has abstractyes

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