ANALISIS \nFAKTOR \n- \nFAKTOR YANG MEMPENGARUHI PERMINTAAN \nBBM BERSUBSIDI DI KOTA BANDUNG \nPRIODE 2000 \n- \n2015
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.103 | 0.028 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".