FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN PEMANFAATAN POSYANDU LANSIA DI WILAYAH PUSKESMAS KUTA ALAM KOTA BANDA ACEH
Bibliographic record
Abstract
Besarnya populasi dan pertumbuhan lanjut usia dapat menimbulkan berbagai permasalahan, sehingga perlu pembentukan posyandu lansia. Tujuan penelitian ini untuk mengetahui faktor yang berhubungan dengan pemanfaatan posyandu lansia di wilayah kerja Puskesmas Kuta Alam Banda Aceh tahun 2019. Metode penelitian bersifat analitik, dengan pendekatan Cross Sectional, tehnik pengambilan sampel secara Accidental Sampling, sampel 100 lansia usia >60 tahun. Data diolah dengan analisa univariat dan bivariat. Hasil penelitian, faktor yang berhubungan dengan pemanfaatan posyandu lansia adalah pengetahuan (0,000), dukungan keluarga (0,001). Kesimpulan terdapat hubungan antara pengetahuan dan dukungan keluarga dengan pemanfaatan posyandu lansia. Diharapkan petugas kesehatan meningkatkan sosialisasi pemanfaatan posyandu lansia.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".