Ketaatan Pengguna Jalan dalam Tertib Berlalu Lintas di Wilayah Hukum Polresta Denpasar
Bibliographic record
Abstract
The order and safety of the driver is very important, one of the conditions for the driver to have a driver's license. Article 281 of the LLAJ Law clearly regulates sanctions for motorists who do not have a SIM, of course with the hope that no more traffic violations will occur. There are still many motorcyclists in the Denpasar Police jurisdiction who violate driving regulations by not having a SIM. which is an obligation for all motorists on the highway without exception. This study aims to explain the obedience of road users to Article 281 of Law Number 22 of 2009 concerning road traffic and transportation and to reveal the police's efforts to overcome the low traffic compliance of motorized vehicle users in the jurisdiction of Denpasar City. This research is designed with empirical legal research with a Legislative approach. The data used are primary and secondary materials obtained through interviews and documentation. the data is processed quantitatively in tabular form and analyzed qualitatively. Obedience of road users to Article 281 of Law Number 22 of 2009 concerning Road Traffic and Transportation, is still very lacking, this is due to the lack of awareness of road users, so they are still very dismissive and negligent in making driving licenses. Police efforts in overcoming the low traffic compliance of motorized vehicle users in the jurisdiction of Denpasar City, namely providing an introduction to traffic order from an early age to children, counseling and socialization, especially to students, students and directions to Banjar residents, as well as delivering orderly information. traffic and the development of the situation on the highway through social media.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.009 |
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".