Pengaruh Perbankan Syariah terhadap Pertumbuhan Ekonomi Indonesia
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 to determine the effect of total assets, financing provided, Third Party Funds (TPF), Non Performing Financing (NPF) on Indonesia's economic growth for 6 (six) years from 2017 to 2022. This research using quarterly secondary data from the first quarter of 2017 to the fourth quarter of 2022 sourced from Sharia Banking Statistics (SPS) published by the Financial Services Authority (OJK) for data on assets, Financing Provided, Third Party Funds, and Non Performing Financing (NPF). Meanwhile, economic growth data is measured using Gross Domestic Product (GDP) data from the Indonesian Central Statistics Agency (BPS). The data processing technique used in this research is multiple linear regression using Eviews version 12 software to determine the relationship between the dependent variable and the independent variable. The research results show: 1) Partially Total Assets and Financing Provided (PyD) have a significant and positive influence on Indonesia's economic growth. 2) Partially, Third Party Funds (TPF) and Non Performing Financing (NPF) have a insignificant influence on Indonesia's economic growth. 3) Simultaneously Total Assets, Financing Provided (PyD), Third Party Funds (TPF), and Non Performing Financing (NPF) have a significant positive influence on Indonesia's economic growth
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
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