Implementation Of Birth Certificate Issuance Service Improvement Program (A Study of Permendagri No. 9 of 2016 in the Population and Civil Registration Office)
Bibliographic record
Abstract
This study aims to analyze the implementation of a program to improve birth certificate issuance services at the Population and Civil Registration Office in Madiun Regency as a mandate from Permendagri No. 9 of 2016 concerning the Acceleration of Increasing the Coverage of Birth Certificate Ownership and to know the supporting and inhibiting factors. The author uses the indicator component of PermenPAN-RB No. 38 of 2012 concerning guidelines for evaluating public service performance. The results showed that one out of three excellent programs have not yet been felt beneficial. Based on analysis of PermenPAN-RB Regulation No.38 of 2012, there are six of nine indicators in the study results that were not run optimally. Supporting factors include budget, government support, and collaboration with village officials. The inhibiting factors are geographical location, human resources, communication/coordination, community awareness, semi-online services, data management, and population event reports at the village level
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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 | 0.003 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".