PEMILIHAN TEMPAT PENYULUHAN BERDASARKAN TINGKAT KERAWANAN DENGAN MENGGUNAKAN METODE SMART
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 National Narcotics Agency is a non-structural institution tasked with coordinating relevant government agencies in the formulation of policies and their implementation in the field of availability, prevention, eradication, abuse and illicit trafficking of narcotics (P4GN). In an effort to contain the rate of increase in the prevalence of drug abuse and illicit trafficking in Binjai City, the National Narcotics Agency of Binjai City conducts anti-drug counseling activities to the entire community. In this study, the SMART (Simple Multi Attribute Rating Technique) method was used to build a web-based system that aims to make it easier to determine the right place for anti-drug counseling. The results of this study indicate that by applying the method (Simple Multi Attribute Rating Technique) the best alternative can be obtained, namely A5 (Tunggorono Village) with the criteria values: C1 (Number of Drug Crime Cases) = 0.3; C2 (Crime Rate) = 0.25; C3 (Narcotics Use Rate) = 0.20; C4 (Drug Location) = 0.15; C5 (Low Social Interaction) = 0.1 with a total final result of 1.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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