Government policy in the field of audit and financial audit infrastructure on the smoothness of the supply chain and its implications on financial management compliance
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
The aim of this research is to analyze the influence of government policies in the field of audit and financial audit infrastructure in improving the smoothness of the supply chain and its implications for financial management compliance in regional apparatus organizations (OPD) within the Serang City Government, Banten Province, Indonesia. The sample in this study was 225 respondents consisting of 19 from Regional Apparatus Organizations (OPD) within the Serang City Government. Sampling technique using technique purposive sampling. Data collected through questionnaires was then analyzed using SEM-PLS. The results of research and data analysis show that: Government Policy in the Audit Sector directly has a positive and significant effect on the smoothness of the Supply Chain; Financial Audit Infrastructure directly has a positive and significant effect on the smooth running of the Supply Chain; Government Policy in the Audit Sector directly has a positive and significant effect on Financial Management Compliance; The government's Financial Audit Infrastructure directly has a positive and significant effect on Financial Management Compliance; The smoothness of the Supply Chain directly has a positive and significant effect on Financial Management Compliance in Regional Apparatus Organizations (OPD) within the Serang City Government, Banten Province, Indonesia. The smoothness of the Supply Chain is able to partially mediate Government Policy in the Field of Audit and Financial Audit Infrastructure on Management Compliance in Regional Apparatus Organizations (OPD) within the Serang City Government, Banten Province, Indonesia.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it