PENGARUH PENDAPATAN DAERAH TERHADAP PERTUMBUHAN EKONOMI DI WILAYAH SARBAGITA PROVINSI BALI
Bibliographic record
Abstract
The purpose of this research is to know the effect of Pendapatan Asli Daerah (PAD), Dana Alokasi Umum (DAU), Special Allocation Fund (DAK) and Profit Sharing Fund (DBH) to economic growth in Sarbagita area of ??Bali Province. This research was conducted in Sarbagita area of ??Bali Province using saturated sampling method in determining samples with population and sample are Denpasar City, Badung, Gianyar and Tabanan regencies in 2012 - 2016. Data collection was done through nonparticipant observation technique. Data analysis was done using descriptive analysis and multiple linear regression. Based on the results of research requires that Pendapatan Asli Daerah (PAD) and Special Allocation Fund (DAK) have a positive effect on economic growth in Sarbagita area of ??Bali Province. While the General Allocation Fund (DAU) and DBH (Fund DBH) negatively affect the economic growth in the Sarbagita area of ??Bali Province
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".