KAJIAN AKSES AIR BERSIH PEMUKIMAN (Studi Kasus di Kelurahan Letwaru, Kecamatan Kota Masohi)
Bibliographic record
Abstract
Letwaru adalah sebuah kelurahan yang terletak di Kecamatan Kota Masohi, Ibu Kota dari Kabupaten Maluku Tengah, Provinsi Maluku, Indonesia. Luas wilayah Kelurahan Letwaru ini sekitar 0.70 km.2 dan memiliki penduduk ditahun 2020 berjumlah 6.405, dengan kepadatan penduduk 9.150 jiwa/km2. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana “Kajian Akses Air Bersih Pemukiman di Kelurahan Letwaru” (Kecamatan Kota Masohi). Pengumpulan data pada penelitian ini menggunakan metode dokumentasi, wawancara dan Kuisioner dengan melihat Kajian Akses Air Bersih Pemukiman masyarakat setempat dengan menggunakan kuisioner sebanyak 11 orang informan. Pengumpulan data pada penelitian ini dua jenis metedologi pengumpulan data, yaitu metode analisis deskriptif dan kualitatif. Hasil penelitian menunjukan pencapaian indicator yang terpenuhi dalam kajian akses air bersih pemukiman yaitu perbaikan kualitas air seperti Menetralisasi PH aerasi, penyaringan, pelunakan air sadah, sedimentasi, desinfeksi, pemanasan, sarana air bersih dan lingkungan. hasil persepsi masyarakat menunjukkan kajian akses air bersih pemukiman sudah berhasil dalam perbaikan kualitas air bersih.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".