IMPACT OF MICROFINANCE INSTITUTIONS ON EMPOWERMENT, PERFORMANCE, AND LIVING STANDARDS OF FARMERSâÂÂGROUP: A CASE STUDY ON MICROFINANCE INSTITUTIONS IN SOUTH SUMATERA-INDONESIA
Bibliographic record
Abstract
Capital shortage caused farmers working in low productivity, besides that limitedness in human resources is also a serious obstacle for many farmers and group of farmers, especially in the aspects of management and production techniques, developing product, quality control, business organization, marketing techniques, and market research. The existence of microfinance institutions with the provision of loans with easy terms and consultation services program are an alternative solution to solve the problems. Primary data was collected through survey technique from 200 respondents and taken by random sampling method and was analyzed by structural equation modelling (SEM). The result showed that in aggregate program microfinance which consisted of farmer financing program and consultation services program had a positive impact towards farmers’ group empowerment and farmer’s group performance. Farmers’ group empowerment and farmers’ group performance had a positive impact toward farmers’ group living standard. It means the hypothesis was accepted. From goodness of fit indices showed that the analysis model could be accepted or had a special meaning was called unidimensional as a new concept that had been tested base on factual and empirical data.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".