PENGETAHUAN MENGENAI GARAM BERIODIUM PADA IBU RUMAH TANGGA DI WILAYAH KERJA PUSKESMAS TAMPAKSIRING I
Bibliographic record
Abstract
ABSTRAK Universal Salt Iozation merupakan strategi untuk mengurangi defisiensi iodium dengan menambahkan iodium kedalam garam. Dalam evaluasi kinerja gizi tahun 2020 Bali termasuk dalam Provinsi yang masih rendah pada konsumsi garam beriodium yaitu sebesar 80,6% dari target 82%. Cakupan penggunaan garam beriodium akan dipengaruhi oleh tingkat pengetahuan masyarakat mengenai garam beriodium. Tujuan penelitian ini untuk mengetahui pengetahuan Ibu Rumah Tangga mengenai garam beriodium di wilayah kerja Puskesmas Tampaksiring I. Jenis penelitian ini adalah deskriptif kuantitatif dengan pendekatan cross-sectional. Populasi penelitian yaitu ibu rumah tangga yang berada di wilayah kerja Puskesmas Tampaksiring I dengan sampel sebanyak 111. Pengambilan sampel dilakukan dengan accidental sampling. Teknik pengumpulan data menggunakan wawancara dan observasi. Instrumen penelitian menggunakan kuesioner dan checklist. Dilaksanakan pada April - Juni 2021 dan dianalisis menggunakan Analisis Univariat. Hasil penelitian ini memperoleh mayoritas tamat SMP (25,2%) dan 75,7% sebagai Ibu Rumah Tangga (IRT). Sebesar 55,9% responden sudah menggunakan garam beriodium dan 59,5% responden memiliki pengetahuan baik mengenai garam beriodium.Kata Kunci: Pengetahuan, Garam Beriodium, Ibu Rumah Tangga
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".