Optimalisasi Aspek Psikososial pada Lansia di Sekolah Lansia Wijayakusuma Ciomas Bogor
Bibliographic record
Abstract
Menurut Badan Pusat Statistik atau BPS 2023, persentase lansia di Indonesia mengalami peningkatan sebanyak 4 persen pada tahun 2010-2022, yaitu menjadi 11,75 persen. Proses menua merupakan sebuah perjalanan alamiah dalam kehidupan seseorang. Hal-hal yang bisa menganggu keseimbangan dan mengarahkan lansia ke penurunan yang progresif, salah satunya pada perkembangan psikososial. Tujuan dari program ini untuk memberikan edukasi dan meningkatkan pengetahuan para lansia mengenai aspek psikososial, interaksi sosial dan manajemen stress. Program ini dilaksanakan dalam dua sesi edukasi melibatkan total 30 peserta lansia dari Sekolah Lansia Wijayakusuma Ciomas, Bogor. Sesi pertama membahas edukasi aspek psikososial dan interaksi sosial pada lansia, kemudian sesi kedua membahas manajemen stress pada lansia. Peningkatan pengetahuan diukur menggunakan pre-test dan post test. Hasil kegiatan pada masing-masing materi yang diberikan menunjukkan bahwa terjadi peningkatan pengetahuan pada lansia yang ditunjukkan pada peningkatan skor lansia melalui pre-test dan post-test yang diberikan.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.010 | 0.002 |
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".