Pengaruh Risiko Usaha terhadapReturn On Asset (Roa) pada BankPembangunan Daerah
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.
Bibliographic record
Abstract
The purpose of this research is analyzing whether LDR, NPL, IRR, FBIR and BOPO has a significant influence simultaneously and partially on Bank Pembangunan Daerah (Regional Development Bank). Samplesof this research are five banks : BPD Aceh , BPD Bali, BPD West Sumatera, BPD West Sumatera, BPD South Sulawesi dan West Sulawesi and South Kalimantan. Data is a secondary data and data collection method in this research is collection data from publication financial report of Regional Bank in Bank Indonesia website, starts from the first quarter period of 2009 until the second quarter of 2012. Data analysis technique in this research is descriptive analysis and multiple linear regression. Based on the accounting and result by using SPSS 16.0 for windows, is shows that LDR,NPL, IRR, FBIR has significant influence simultaneously on ROA at Regional Development Bank. BOPO partially has negative and no significant influence on ROA at Regional Development Bank. Keywords : LDR, NPL, IRR, FBIR and BOPO on ROA
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.017 |
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 it