Efektivitas promosi kesehatan melalui media komunikasi, informasi dan edukasi (kie) serta pendampingan whatsapp group terhadap pengetahuan dan sikap tentang anemia pada ibu hamil tahun 2022 (studi di Wilayah Kerja Puskesmas Kecamatan Gunungtanjung Kabupaten Tasikmalaya)
Bibliographic record
Abstract
Latar Belakang: Promosi kesehatan melalui media komunikasi, informasi dan edukasi (KIE) dapat menunjang proses pembelajaran dengan dukungan teknologi media yang ada, salah satunya dengan memanfaatkan media sosial whatsapp. Penelitian ini bertujuan untuk menganalisis efektivitas promosi kesehatan melalui media komunikasi, informasi dan edukasi (KIE) serta pendampingan whatsapp group terhadap pengetahuan dan sikap tentang anemia pada ibu hamil tahun 2022 di wilayah kerja Puskesmas Gunungtanjung Kabupaten Tasikmalaya.Metode: Penelitian eksperimen semu (quasi experiment), menggunakan rancangan pre and post test with two group dengan menggunakan teknik cluster sampling sebanyak 25 responden. Data dalam penelitian ini diolah dengan statistik uji T-test, pengujian hipotesis menggunakan nilai N gain.Hasil: Terdapat peningkatan nilai rata-rata pengetahuan (p-value =<0,00) dan sikap (p-value <0,000) Ibu hamil setelah dilakukan Promosi kesehatan melalui media KIE disertai pendampingan WhatsApp Group. Terdapat peningkatan nilai rata-rata pengetahuan (p-value = 0,001) dan sikap (p-value = 0,003) ibu hamil setelah dilakukan Promosi kesehatan melalui media KIE. Promosi kesehatan melalui media KIE disertai pendampingan WhatsApp Group lebih efektif dibandingkan hanya media KIE saja dalam meningkatakan pengetahuan (p-value = 0,046) dan sikap (p-value <0,000) ibu hamil tentang anemia.Kesimpulan: Terdapat peningkatan nilai rata-rata pengetahuan dan sikap ibu hamil setelah dilakukan promosi kesehatan baik melalui media KIE saja dan didampingi whatsApp Group, serta lebih efektif dibandingkan hanya media KIE saja dalam meningkatakan pengetahuan dan sikap ibu hamil tentang anemia.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".