Pengaruh Implementasi Kebijakan Kawasan Perbatasan Indonesia-Malaysia Terhadap Efektivitas Ketahanan Wilayah di Kabupaten Nunukan Provinsi Kalimantan Utara
Bibliographic record
Abstract
ABSTRACTThe purpose of this research was to measured the effect of implementation policy about the Indonesia-Malaysia border area on the effectiveness of regional resilience in Nunukan Regency, North Kalimantan. This research was used an explanatory method and used a quantitative approach. Data collection techniques of this research through a questionnaire. Before the questionnaire distributed to a number of respondents, the validity and reliability tests were carried out on the research instrument (questionnaire). The respondents of this study amounted to 125 people. While the data analysis technique used was a simple linear regression analysis technique. This study showed that the average score of respondents' overall responses to the variable implementation of border area policies was 4.31 on a scale of 1 – 5. This result was indicates that the border area management policy in Nunukan Regency had been implemented properly. Meanwhile, the overall average score of respondents' responses for the Regional Resilience effectiveness variable was 4.57 on a scale of 1 – 5. Since the average value was closer to the score of 5, it could be concluded that security of the border area in Nunukan Regency was very effective. Thus, the policy implementation of Indonesia-Malaysia border area simultaneously affected the effectiveness of regional resilience in Nunukan Regency, North Kalimantan Province by 4,153 with a significance value close to zero. This showed that the better of policy implementation, the more effective regional resilience in the Indonesia-Malaysia border area would be.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".