The Distribution Levels and Factors Influencing Successful Development of VOE in Trenggalek Regency-Indonesia
Bibliographic record
Abstract
This research aims to identify the pattern of Village Owned Enterprise (VOE) in the Trenggalek Regency and analyze the factors affecting its success.The regency was selected as the model for other regions because it has East Java's most advanced VOE development.A quantitative approach was adopted using primary data consisting of VOE age, number of business units, number of workers, capital, turnover, profit, and VOE contribution to Village Own-source Revenue.The data was collected through questionnaires and interviews with the village government and VOE administrators.The pattern on the VOE development level was analyzed using Moran Index, while the influencing factors were determined through Geographical Weight Regression.The findings showed that the villages were grouped based on the VOE development level.The developed VOE was generally affected by age, number of business units, number of workers, turnover, profit, and contribution to Village Own-source Revenue.It was also discovered that business capital has a negative effect on the VOE success level, and a similar trend was recorded for labor in some areas.This study implies the importance of strengthening through supporting factors for the success of VOE and the formation of cooperation between villages to achieve developed VOE.
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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 | 0.001 | 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".