PENGARUH PENDIDIKAN KESEHATAN DENGAN PENDEKATAN MODEL INFORMATION MOTIVATION BEHAVIOR SKILL TERHADAP PENINGKATAN PENGETAHUAN PERSONAL HYGIENE PADA SANTRI DI PESANTREN BARKATUL HUDA
Bibliographic record
Abstract
Scabies paling tinggi terjadi di negara tropis, salah satunya Indonesia. Prevalensi scabies di Indonesia sebesar 4.60%-12.95%, penyakit ini menduduki urutan ketiga dari 12 penyakit kulit tersering. Timbulnya scabies erat kaitannya dengan kebersihan personal dan lingkungan. Perilaku personal menjadi salah satu faktor yang memengaruhi dalam penularan penyakit scabies. Oleh karena itu perlu diberikan edukasi tentang pentingnya personal hygiene, salah satunya melalui pendekatan Model Information Motivation Behavior Skill (IMB). Tujuan penelitian ini untuk mengetahui pengaruh pendidikan kesehatan dengan Pendekatan Model Information Motivation Behavior Skill (IMB) terhadap peningkatan pengetahuan tentang personal hygiene pada santri di pesantren Barkatul Huda. Jenis penelitian ini adalah pre-eksperiment dengan teknik one group pre-test and post-test design. Populasi penelitian adalah seluruh santri sebanyak 250 orang. Teknik sampling dalam penelitian ini adalah random sampling dengan jumlah sampel sebanyak 154 orang. Intsrumen penelitian menggunakan SAP, leaflet dan kuesioner. Hasil penelitian menunjukan P value = 0,000 < a = 0.05, maka Ho ditolak yang artinya bahwa ada pengaruh pendidikan kesehatan dengan pendekatan Model Information Motivation Behavior Skill (IMB) terhadap peningkatan pengetahuan santri tentang personal hygiene di pesantren Barkatul Huda Kabupaten Tasikmalaya. Diharapkan penelitian ini dapat dijadikan acuan agar terlaksana kegiatan-kegiatan yang menunjang kesadaran masyarakat pesantren akan pentingnya personal hygiene.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".