ANALISIS PERBANDINGAN KINERJA KANTOR SAMSAT UPTD WILAYAH IV BIREUEN DAN UPTD WILAYAH IV LHOKSEUMAWE
Bibliographic record
Abstract
This research aims to determine the performance of UPTD Samsat Region IV Bireuen and Region V Lhokseumawe City based on the realization of Motor Vehicle Tax (PKB) collection, Motor Vehicle Transfer of Title Fee (BBN-KB) services. Analysis was carried out using independent two mean test statistics with t-statistics. The research results show that; A). The performance level of Samsat UPTD Region IV Bireuen in terms of the PKB Realization aspect during 2010 - 2021 is on average better than the performance level of UPTD Samsat Region V Lhokseumawe. B). The performance level of UPTD Samsat Region IV Bireuen from the aspect of BBN-KB Realization during 2010 - 2021 is also better on average, although not significantly different from the performance level of UPTD Samsat Region V Lhokseumawe. C). The diversity of PKB and BBN-KB income at the Samsat IV Bireuen office varies more between years than at Samsat V Lhokseumawe
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".