Hubungan Kekeringan dengan Praktik Personal Hygiene
Bibliographic record
Abstract
Latar Belakang; Pada tahun 2018 Indonesia terdapat 13 kejadian dengan 5 provinsi yang terdampak. Salah satu kabupaten di Jawa Tengah, Boyolali juga memiliki tingkat kejadian kekeringan yang tinggi. Pada tahun 2018 menurut data dari BPBD Boyolali, terdapat 7 kecamatan dan 42 kelurahan terdampak bencana kekeringan, dan Desa yang paling parah terdampak kekeringan ialah Desa Ngaren. Kekeringan menyebabkan ketersediaan air bersih terbatas sehingga menyebabkan gangguan aktivitas rumah tangga dan kebersihan diri (personal hygiene). Metode; penelitian survei analitik yang menggunakan metode cross sectional dengan pendekatan waktu retrospective. Pengambilan sampel menggunakan teknik purposive sampling, dengan jumlah sampel 79 responden, sedangkan instrumen penelitian menggunakan kuesioner. Analisa bivariat menggunakan uji chi square.Tujuan; Mengetahui hubungan antara kekeringan dengan praktik personal hygiene di Desa Ngaren, Kec.Juwangi, Kab. Boyolali. Hasil; Hasil penelitian didapatkan sebagian besar responden mengalami kekeringan dengan kategori kering kritis sebanyak 40 responden (51%), sebagian besar responden melakukan praktik personal hygiene yang kurang baik sebanyak 64 responden (81%), sedangkan pada uji univariat membuktikan bahwa kekeringan di Desa Ngaren berhubungan dengan praktik personal hygiene (p value = 0,002). Kesimpulan; Terdapat hubungan kekeringan dengan praktik personal hygiene di Desa Ngaren Kecamatan Juwangi Kabupaten Boyolali.
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 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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".