Determinan Akses Sumber Air Minum Layak di Provinsi Bengkulu Tahun 2021
Bibliographic record
Abstract
Air minum yang aman dan layak merupakan elemen penting dalam mewujudkan kehidupan yang sehat. Selama periode 2017-2021, Provinsi Bengkulu menjadi provinsi dengan rata-rata persentase akses air sumber minum layak terendah di Indonesia. Pada tahun 2021, persentase akses sumber air minum layak di Provinsi Bengkulu masih di bawah nasional yaitu sebesar 67,39 persen. Angka ini masih belum bisa mencapai target RPJMN untuk mencapai akses air minum layak sebesar 100 persen. Tujuan dari penelitian ini adalah menganalisis gambar umum dan menganalisis variabel yang memengaruhi beserta kecenderungan mengenai akses sumber air minum layak di Provinsi Bengkulu tahun 2021 dengan metode analisis regresi logistik biner multilevel. Hasil dari penelitian ini menunjukkan bahwa variabel pada level rumah tangga yaitu klasifkasi daerah, fasilitas sanitasi, pendidikan KRT dan status kemiskinan berpengaruh signifikan terhadap akses sumber air minum layak. Kemudian variabel di level wilayah yaitu PDRB per kapita juga berpengaruh signifikan terhadap akses sumber air minum layak
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".