EFEKTIVITAS KOMBINASI SQUARE STEPPING EXERCISE DAN BRAIN GYM TERHADAP PENINGKATAN FUNGSI KOGNITIF PADA LANSIA DI UPT BUDHI DHARMA
Bibliographic record
Abstract
Peningkatan usia harapan hidup di Indonesia telah menyebabkan bertambahnya jumlah lansia, yang turut meningkatkan risiko berbagai permasalahan Kesehatan, salah satunya adalah penurunan fungsi kognitif. Penurunan ini berdampak pada kualitas hidup lansia, termasuk menurunnya kemampuan dalam bersosialisasi serta peningkatan risiko demensia. Penelitian ini bertujuan mengevaluasi efektivitas kombinasi Square Stepping Exercise dan Brain Gym terhadap peningkatan fungsi kognitif pada lansia. Penelitian ini menggunakan metode experimental dengan one group pre-post test design. Sampel penelitian adalah lansia yang memenuhi kriteria inklusi dan ekslusi yaitu 20 orang lansia yang berusia 60 tahun keatas. Pengumpulan data menggunakan Montreal of Cognitive Asessment (MoCA-Ina). Penelitian ini dilakukan dilakukan 12 kali selama 12 hari di UPT Budhi Dharma Kota Yogyakarta. Hasil Uji statistik menunjukan kombinasi Square Stepping Exercise dan Brain Gym terhadap peningkatan fungsi kognitif lansia secara signifikan meningkatkan fungsi kognitif (p=0,000). Kesimpulan: kombinasi Square Stepping Exercise dan Brain Gym memberikan pengaruh positif terhadap peningkatan fungsi kognitif pada lansia dan dapat dijadikan program latihan fisioterapi di UPT Budhi Dharma kota Yogyakarta.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".