PENGENDALIAN PEREDARAN MINUMAN BERALKOHOL DALAM MENCEGAH MENINGKATNYA TINDAK PIDANA KRIMINAL DI WILAYAH HUKUM POLRES BOYOLALI
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
<p>Abstract<br />This Article aims to find out Policies conducted by Police Boyolali in Controlling Circulation of Alcoholic Beverages in preventing the increase of Criminal Crime acts seta Factors affecting the Distribution of Alcoholic Beverages in Boyolali County Law Police. Is a qualitative deskreptif research, using the concept of the fifth law. Data types use Primary data and Secondary data, data source is Primary Data Source and Secondary Data Source covering Primary Law Material, Secondary Law Material and Tertiary Law Material. Methods of data collection through Interview and the method of Study Library. Data analysis with interactive analysis model. Research shows that Police Police Boyolali policy in Controlling Alcoholic Beverage Distribution in preventing the<br />increase of Criminal Criminal acts in the form of policy of the police is preventive or repressive. The preventive aspect of prevention efforts to prevent crime does not occur with the support and active participation of the community. If prevention efforts fail then the police take repressive measures that are factors that affect both internal and external.<br />Keywords: Alcoholic Beverages; Countermeasures; Policy</p><p>Abstrak<br />Artikel ini bertujuan untuk mengetahui Kebijakan yang dilakukan oleh Polres Boyolali dalam Pengendalian Peredaran Minuman Beralkohol dalam mencegah meningkatnya tindak Pidana Kriminal seta Faktor-Faktor yang mempengaruhi adanya Peredaran Minuman Beralkohol di Wilayah Hukum Polres Boyolali. Merupakan penelitian Deskreptif Kualitatif, menggunakan konsep hukum kelima. Jenis data menggunakan data Primer dan Data sekunder, sumber data adalah Sumber Data Primer dan Sumber Data Sekunder yang meliputi Bahan Hukum Primer, Bahan Hukum Sekunder dan Bahan Hukum Tersier. Metode pengumpulan data melalui Wawancara dan metode Studi Pustaka. Analisis data dengan model analisis interaktif. Penelitian menunjukkan bahwa Kebijakan yang dilakukan oleh Polres Boyolali dalam Pengendalian Peredaran Minuman Beralkohol dalam mencegah meningkatnya tindak Pidana Kriminal berupa kebijakan kepolsian bersifat preventif maupun represif. Aspek preventif yaitu melakukan upaya pencegahan agar tindak kejahatan tidak terjadi dengan adanya dukungan serta partisipasi aktif dari masyarakat. Apabila upaya pencegahan gagal maka polisi mengambil langkah yang bersifat represif yaitu faktor yang mempengaruhi baik internal maupun eksternal.<br />Kata kunci: Minuman Beralkhohol; Penanggulangan; Kebijakan</p>
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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