Does Financial Inclusion Important in MSMEs Financing in Indonesia? Analysis Using Dimension Bank as Mediation
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
This study aims to see the role of banks as an effort to achieve financial inclusion. MSMEs have a very vital role in increasing economic growth in Indonesia, there are various types of MSMEs that are scattered throughout the region. The problem of MSMEs, in general is a problem of capital. To overcome this, there is one model, namely financial inclusion, which can encourage the financial system to be accessible to all levels of society. Financial inclusion is one way to socialize the financial sector, especially to facilitate banking services and financial access for the public. This study uses primary data and secondary data, in this study, researcher used MSMEs, as the population of the study. Total MSMEs in Jakarta is 930,620 Units. The results of the study show that all the variables are significant positive, in the efforts to finance MSMEs in Indonesia, which means that banks play an important role in channeling funds to MSMEs, so that inclusion runs well. This is in line with the Entrepreneurial finance theory which emphasizes that increasing business capital both from internal and external, followed by increased entrepreneurship and management capacity will be able to improve company performance, especially MSMEs.
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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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