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Record W7054682885

ANALISIS 
\nFAKTOR
\n-
\nFAKTOR YANG MEMPENGARUHI PERMINTAAN 
\nBBM BERSUBSIDI DI KOTA BANDUNG 
\nPRIODE 2000 
\n-
\n2015

2018· dissertation· id· W7054682885 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

VenueUniversitas Pasundan institutional repositories & scientific journals (Universitas Pasundan) · 2018
Typedissertation
Languageid
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsNucleofectionLimitingWork (physics)Netting
DOInot available

Abstract

fetched live from OpenAlex

ABSTRAK
\nKota Bandung merupakan salah satu kota 
\nyang memiliki potensi besar untuk 
\nmelakukan kegiatan ekono
\nmi di dalamnya
\n. S
\nemakin banyaknya kegiatan 
\nperekonomian di Kota Bandung maka akan se
\nmakin banyak mobilisasi yang 
\ndi
\nbutuhkan, baik itu transportasi 
\ndari kendaraan bermotor
\nroda dua
\n, mobil pribadi, 
\natau angkutan umum lainnya yang menggunakan bahan bakar minyak (BBM).
\nBahan 
\nbakar min
\ny
\nak (
\nBBM
\n)
\nini sudah termasuk kebutuhan primer bagi masyaraka
\nt yang 
\nbertempat tinggal di daerah perkotaan
\n, khususnya di Kot
\na Bandung.
\nKebutuhan BBM 
\ny
\nang terus meningkat di Kota Bandung terlihat dari peningkatan konsumsi BBM di 
\nKota Bandung. 
\nPenelitian ini bert
\nujuan 
\nu
\nntuk mengetahui pengaruh harga BBM jenis 
\nPremium, inflasi, jumlah kendaraan bermotor, harga BBM non subsidi 
\njenis Pertamax 
\n92, PDRB perkapita dan pasokan BBM terhadap permintaan BBM bersubsidi di Kota 
\nBandung secara parsial dan simultan.
\nObjek penelitian ini adalah permintaan BBM 
\nsubsidi di Kota Bandung tahun 2000
\n-
\n2015. Penelitian ini menggunakan data sekunder 
\na
\ntau 
\ntime serie
\ns.
\nAnalisis data meng
\ngunakan analisis regresi linier berganda dengan 
\nmetode 
\nOrdinary Least Square
\n(OLS). 
\nBerdasarkan hasil Penelitian dapat disimpulkan bahwa
\nsecara parsial
\nharga 
\nBBM bersubsidi berpengaruh negatif dan tidak signifikan terhad
\nap permintaan BBM 
\nsubsidi, sedangkan inflasi berpengaruh negatif dan signifikan terhadap permintaan 
\nBBM subsidi, serta harga BBM non Subsidi, PDRB perkapita, jumlah kendaraan, dan 
\nstock BBM subsidi berpengaruh positif dan signifikan terhadap permintaan BBM
\nbersubsidi di Kota Bandung. 
\nSecara simultan 
\nvariabel harga BBM subsidi, inflasi, 
\nharga BBM non subsidi, jumlah kendaraan, PDRB perkapita dan stock BBM subsidi 
\nsecara bersama
\n-
\nsama berpengaruh terhadap permintaan BBM subsidi di Kota 
\nbandung.
\nKata Kunci
\n: Harga BBM Bersubsidi, 
\nPDRB Perkapita, Jumlah Kendaraan, Harga 
\nBBM Non Subsidi, 
\nStock BBM Bersubsidi
\n, 
\nInflasi.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0070.009
Science and technology studies0.0230.007
Scholarly communication0.0090.005
Open science0.0080.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.1460.003

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 head0.017
GPT teacher head0.264
Teacher spread0.247 · 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