Pengaruh Pembiayaan Paket Masa Depan (PMD) Pada Bank BTPN Syariah Terhadap Pemberdayaan Ekonomi Masyarakat Di Kecamatan Medan Sunggal
Bibliographic record
Abstract
This study aims to determine the relationship and influence of Future Package Financing (PMD) at \nBTPN Syariah Bank in Community Economic Empowerment in Medan Sunggal District (Case Study \nof BTPN Syariah KC Medan Sunggal). This research uses quantitative research. The independent \nvariable in this study is Future Package Financing (PMD) while the dependent variable is Economic \nEmpowerment. The data used in this research is primary data using the distribution of \nquestionnaires in the research. The object of this research was conducted at BTPN Syariah KC \nMedan Sunggal. The population used in this study were BTPN Syariah KC Medan Sunggal \ncustomers in the first quarter of 2023 totaling 2,340 people with a sample size of 96 people. The \nresults of the study can be concluded that the BTPN Sharia Financing PMD has a positive and \nsignificant effect on community economic empowerment. This is supported by the existence of \nfinancing assistance that can increase business capital and increase community income
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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 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".