PENCEGAHAN DAN PENATALAKSANAAN GASTRITIS DI POSYANDU LESTARI II DI KELURAHAN TANJUNG RAYA KOTA BANDAR LAMPUNG
Bibliographic record
Abstract
Gastritis merupakan masalah terbesar di seluruh dunia, sekitar 1,7 milyar kasus terdapat di negara yang sedang berkembang. Gastritis di Indonesia mencapai 40,8% di beberapa daerah dengan prevalensi 274.396 kasus dari 238.452.952 jiwa penduduk dan termasuk sepuluh penyakit terbanyak yang masuk rawat inap, termasuk di Provinsi Bandar Lampung. Puskesmas Satelit mengalami peningkatan sejak 3 tahun terakhir dari tahun 2015-2017 yaitu 13% (1.650 kasus), 15% (1.979 kasus), 17% (1.867 kasus). Salah satu penyebab peningkatan adalah kurangnya pengetahuan, sehingga perlu dilakukan edukasi kesehatan secara tatap muka. Pengabdian ini bertujuan untuk meningkatkan pengetahuan masyarakat tentang gastritis di wilayah Posyandu Lestari II Wilayah Puskesmas Satelit Kota Bandar Lampung. Pengabdian ini di laksanakan tanggal 18 Agustus 2022. Hasil Pengabdian ini terdapat peningkatan pengetahuan masyarakat tentang pengetahuan dan pencegahan Gastritis. Kesimpulan, pemberian edukasi kesehatan berpengaruh terhadap pengetahuan masyarakat tentang penyakit Gastritis agar masyarakat dapat terhindar dari penyakit tersebut. Kata Kunci: gastritis, pengetahuan, edukasi kesehatan
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".