Implementasi Kebijakan Penyediaan Air Bersih di Kabupaten Badung
Bibliographic record
Abstract
Purpose: The fulfillment of clean water needs is a complex problem and requires comprehensive analysis. This study aims to analyze the implementation of clean water supply policies in Badung Regency to identify the strengths, weaknesses, opportunities, and threats. Research methods: This research uses a qualitative methodology with a SWOT analysis approach through data collection carried out by interview and documentation study methods. Results and discussion: The Badung Regency Government together with Perumda Air Minum Tirta Mangutama have implemented several policies to improve clean water supply. However, there are still several obstacles, such as limited raw water source capacity, rapid population growth so that service coverage does not increase significantly. The SWOT analysis results show that to meet the clean water needs in Badung Regency, the Weaknesses-Opportunities strategy is used with strategic policies in the form of developing and increasing the availability of raw water through the support of the central government and the Bali Provincial Government so as to increase the coverage of clean water services through developing alternative financing schemes, such as cooperation with the private sector, financial institutions, and the community. Implication: Efforts to improve the performance of clean water services in Badung Regency require a comprehensive strategy to optimize strengths and opportunities, as well as minimize weaknesses and threats in the implementation of clean water supply policies.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".