PENGARUH NEURO LINGUISTIC PROGRAMMING \n(NLP) TEKNIK ANCHORING TERHADAP FUNGSI \nKOGNISI DAN PENURUNAN STRES ATLET PADA \nSITUASI PANDEMI COVID 19
Bibliographic record
Abstract
ABSTRAK \nPengaruh Neuro Linguistic Programming (NLP) Teknik Anchoring Terhadap \nFungsi Kognisi dan Penurunan Stres Atlet Pada Situasi Pandemi Covid 19 \nDeni Hendriana \nTimbulnya perasaan negatif semakin meningkat karena dalam situasi isolasi \ndan ketidakpastian muncul gejala stres yang tidak bisa dihindari. Pada situasi \nseperti ini akan menguras energi dan daya pikir atlet yang akan berpengaruh kepada \npenampilannya. Salah satu hal utama dalam menyikapi permasalahan ini yaitu \nkemampuan atlet mengelola dirinya (self-control) sehingga mampu mengendalikan \nsituasi tersebut. Penelitian ini untuk mengetahui pengaruh psikoterapi dalam bentuk \nNeuro Linguistic Programming (NLP) teknik anchoring terhadap fungsi kognisi \ndan penurunan stres atlet pada situasi pandemi covid 19. \nMetode yang digunakan dalam penelitian ini adalah metode quasi \neksperimen. Populasi dalam penelitian ini adalah atlet bola basket di club Crows \nberjumlah 134 atlet. Sampel sebanyak 25 atlet diambil secara sample random \nsampling. Instrumen pada fungsi kognisi menggunakan Montreal Conigitive \nAssesment (MoCA) dan untuk variabel stres instrumen menggunakan kuesioner \nDASS-21 (Depression Anxiety Stress Scale) yang dikembangkan oleh Lovibond. S. \nH (1995). \nHasil Penelitian mengenai Neuro Linguistic Programming (NLP) teknik \nanchoring terhadap fungsi kognisi dan penurunan stres dapat disimpulkan bahwa \nterdapat pengaruh yang signifikan. Kemudian uji beda antara Neuro Linguistic \nProgramming (NLP) teknik anchoring dan konvensional terhadap fungsi kognisi \ndan penurunan stres terdapat perbedaan yang signifikan. \nKesimpulan dari penelitian ini bahwa penggunakan Neuro Linguistic \nProgramming (NLP) teknik anchoring mampu memberikan pengaruh terhadap \nfungsi kognisi dan penurunan stres atlet bola basket pada situasi pandemi covid 19. \nKata Kunci: Neuro Linguistic Programming (NLP), fungsi kognisi, penurunan \nstres, covid 19, atlet, bola basket. \n \nABSTRACT \nThe Effect of Neuro-Linguistic Programming (NLP) Anchoring Techniques \non Cognitive Function and Reduction of Athletes' Stress in the Covid-19 \nPandemic Situation \nDeni Hendriana \nThe emergence of negative feelings is increasing because in situations of \nisolation and uncertainty, stress symptoms are unavoidable. In a situation like this \nit will drain the athlete's energy and thinking power which will affect his \nappearance. One of the main things in addressing this problem is the athlete's ability \nto manage himself (self-control) so that he is able to control the situation. This study \nwas to determine the effect of psychotherapy in the form of Neuro Linguistic \nProgramming (NLP) anchoring techniques on cognitive function and reducing \nstress in athletes in the COVID-19 pandemic situation. \nThe method used in this study was a quasi-experimental method. The \npopulation in this study were basketball athletes at the Crows club totaling 134 \nathletes. The samples as many as 25 athletes were taken by sample random \nsampling. The instrument on cognitive function uses the Montreal Conigitive \nAssessment (MoCA) and for the stress variable the instrument uses the DASS-21 \n(Depression Anxiety Stress Scale) questionnaire developed by Lovibond. S.H \n(1995). \nThe results of research on Neuro Linguistic Programming (NLP) anchoring \ntechniques on cognitive function and stress reduction, it can be concluded that there \nis a significant effect. Then the difference test between Neuro Linguistic \nProgramming (NLP) anchoring technique and conventional on cognitive function \nand stress reduction there is a significant difference. \nThe conclusion from this study is that the use of Neuro Linguistic \nProgramming (NLP) anchoring techniques is able to have an effect on cognitive \nfunction and reduce stress in basketball athletes in the COVID-19 pandemic \nsituation. \nKeywords: Neuro Linguistic Programming (NLP), cognitive function, stress \nreduction, pandemic, athlete, basketball
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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 | 0.002 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.009 |
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".