Pengaruh Memory Training Permainan Anagram terhadap Kognitif Lansia di Panti Jompo Sumber, Surakarta
Bibliographic record
Abstract
Background: One of the problems experienced by the elderly is experiencing a decrease in cognitive abilities such as difficulty remembering, retrieving new information, focusing, making decisions and various aspects such as orientation, visual spatial, memory and language. The problem of cognitive decline will develop into dementia and will affect functional abilities and reduce the quality of life of the elderly. Prevention of cognitive decline in the elderly can be done with cognitive interventions in the form of memory training anagram games. Objectives: This study aims to determine the effect of anagram game memory training on cognitive abilities in the elderly. Methods: This study used a pre-experimental one group pre-test and post-test method with a total sample of 42 elderly people at Aisyiyah Sumber Solo Nursing Home. The research instrument used the Indonesian version of the Montreal Cogntive Assessment (MoCA-Ina). Three stages of the anagram game were given each intervention based on the research module that had been prepared. The data analysis method uses paired t-test with the previous stage, namely data normality test with Shapiro Wilk. Results: The paired t-test results showed that the sig value was <0.05. An increase in moCA-Ina scores occurred after being given anagram game memory training intervention (mean difference 2.48). Memory training of anagram games affects the cognitive abilities of the elderly at Aisyiyah Sumber Solo Nursing Home (????=0.000). The research sample was entirely female, 76.2% dominated by the early elderly age group, 90.5% low-level education. Conclusion: This study shows that memory training intervention in the form of anagram games has a significant effect on the cognitive abilities of the elderly. Keywords: Dementia, Memory, MoCA-Ina, Cognitive games
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".