Pengaruh Latar Belakang Pendidikan, Ukuran Usaha dan Literasi Keuangan terhadap Perencanaan Keuangan UMKM Di Masa Pandemi Covid-19
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
Economic support in Indonesia during the Covid-19 pandemic is MSMEs. The aims of the study is to empirically test the influence of educational background, business size and financial literacy on the financial planning of MSMEs in South Surabaya during the Covid-19 pandemic. This research uses primary data with quantitative research types using WarpPLS 7.0, the sample in this study is MSMEs spread in the South Surabaya area. Data collection is carried out by questionnaires distributed directly by researchers to MSMEs in the South Surabaya Region using random sampling methods. Hypothesis testing is looking at the probability value (p-value). This study found that educational background and financial literacy had a significant effect on the financial planning of MSMEs in South Surabaya during the Covid-19 pandemic. This phenomenon shows that education background and financial literacy are important factors for MSMEs in South Surabaya during the Covid-19 pandemic in conducting financial planning
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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