Hubungan Tingkat Pengetahuan Tentang Penyakit Hipertensi dengan Kepatuhan Kontrol Tekanan Darah di Desa Mangge Kecamatan Barat Kabupaten Magetan
Bibliographic record
Abstract
Hipertensi ( tekanan darah tinggi ) merupakan keadaan perubahan dimana tekanan darah dalam pembuluh darah arteri seseorang mengalami peningkatan yang abnormal dan berlangsung secara terus menerus. Kepatuhan Kontrol tekanan darah adalah kegiatan atau aktivitas yang dilakukan penderita hipertensi untuk melakukan perawatan kontrol tekanan darah ke pelayanan kesehatan dan menjalani pengobatan. Tujuan penelitian ini adalah mengalisis hubungan tingkat pengetahuan tentang penyakit hipertensi dengan kepatuhan kontrol tekanan darah di Desa Mangge Kecamatan Barat Kabupaten Magetan. Desain penelitian adalah deskriptif korelasi dengan pendekatan cross sectional. Populasinya adalah penderita hipertensi di Desa Mangge Kecamatan Barat Kabupaten Magetan yang melakukan kontrol tekanan darah ke Puskesmas Tebon, yang berjumlah 33 orang. Data diambil dengan menggunakan kuesioner, lembar observasi, dan menggunakan uji Chi-Square. Hasil penelitian menunjukkan bahwa responden yang mempunyai tingkat pengetahuan yang baik sebanyak 17 orang (56,7%) dan 16 orang (53,3%) patuh melakukan kontrol tekanan darah. Hasil uji statistic Chi Square menunjukkan tingkat pengetahuan tentang penyakit hipertensi signifikan dengan kepatuhan kontrol tekanan darah dengan (nilai ρ = 0,004 dengan nilai α = 0,05 ).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".