Hygiene Sanitasi Depot Air Minum Isi Ulang dan Kualitas Mikrobiologis Air Minum Isi Ulang di Wilayah Kerja Puskesmas Bukitsangkal Kota Palembang
Bibliographic record
Abstract
Latar Belakang: Air minum isi ulang adalah air minum dalam bentuk curah yang dihasilkan oleh usaha industri (DAMIU) melalui proses pengolahan air baku yang memenuhi syarat kesehatan dan dapat langsung diminum. Hasil pemeriksaan Depot Air Minum Isi Ulang (DAMIU) pada tahun 2020 di wilayah kerja Puskesmas Bukitsangkal dari 19 depot yang diperiksa hanya 10 depot yang memenuhi syarat kesehatan (Dinkes Palembang, 2020). Tujuannya diketahui gambaran hygiene sanitasi depot air minum isi ulang (DAMIU) dan kualitas mikrobiologis AMIU di wilayah kerja Puskesmas Bukitsangkal Kota Palembang. Metode: Penelitian ini dilakukan secara deskriptif dengan menggunakan metode cross sectional. Populasi dalam penelitian ini adalah 18 DAMIU yang berada di wilayah kerja Puskesmas Bukitsangkal dan dilakukan uji laboratorium. Teknik pengambilan sampel dilakukan secara total sampling. Hasil: Dari hasil penelitian menyebutkan bahwa ada 1 DAMIU (5,6%) tidak memenuhi syarat karena positif bakteri Coliform, berdasarkan kepemilikkan sertifikat laik hygiene sanitasi terdapat 15 DAMIU (83,3%) yang belum memiliki sertifikat laik hygiene sanitasi, berdasarkan variabel lokasi dan bangunan 18 DAMIU (100%) memenuhi syarat, berdasarkan variabel peralatan 17 DAMIU (94,4%) memenuhi syarat, berdasarkan variabel karyawan 18 DAMIU (100%) tidak memenuhi syarat dan berdasarkan variabel sumber air baku dan air minum 1 DAMIU (5,6%) tidak memenuhi syarat. Kesimpulan: Terdapat 1 DAMIU (5,6%) tidak memenuhi syarat mikrobiologis air minum isi ulang.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".