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Record W7077039679 · doi:10.47794/jkhws.v12i02.38

HUBUNGAN TINGKAT KEBUGARAN FISIK DENGAN FUNGSI KOGNITIF PADA MAHASISWI PENGHAFAL AL-QUR’AN DI PONDOK PESANTREN KOTA MALANG

2024· article· id· W7077039679 on OpenAlexaboutno aff

Bibliographic record

VenueJurnal Kesehatan Hesti Wira Sakti · 2024
Typearticle
Languageid
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsStatisticStatistical analysisTest (biology)Foot (prosody)

Abstract

fetched live from OpenAlex

Pendahuluan: Mahasiswi memerlukan kebugaran fisik yang cukup untuk dapat berpikir danmenggunakan kemampuan kognitifnya secara maksimal agar tidak cepat lelah setelah melakukanaktivitas padat seperti kuliah dan menghafal Al-Qur’an. Kegiatan ini juga memerlukan keterampilanberpikir yang berkaitan dengan fungsi kognitif. Kebugaran fisik yang baik akan peningkatan kadarprotein Brain-Derived Neutrophic Factor (BDNF) yang berfungsi untuk menstimulasi sel-sel saraf otakguna meningkatkan kemampuan kognitif. Penelitian berkeinginan untuk memahami hubungan tingkatkebugaran fisik dengan fungsi kognitif terhadap mahasiswi di Pondok Pesantren Nurul Furqon KotaMalang sebagai penghafal Alqur’an. Metode: Penelitian ini menggunakan pendekatan analitikobservasional dengan cross-sectional study sebanyak 30 responden diperoleh dengan teknik purposivesampling. Data diambil menggunakan YMCA Step Test dan MoCA-Ina (Montreal CognitiveAssessment). Selanjutnya pengolahan data menggunakan metode uji Fisher’s Exact Test. Hasil:Perolehan dari uji statistic menghasilkan p value sebesar 0,029 < 0,05. Kesimpulan: Terdapat hubunganantara tingkat kebugaran fisik dengan fungsi kognitif pada Mahasiswi Penghafal Al-Qur’an di KotaMalang.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0040.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.026
GPT teacher head0.266
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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