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Record W3110051243 · doi:10.36706/altius.v9i2.12988

DAYA LEDAK OTOT LENGAN DAN KOORDINASI MATA TANGAN TERHADAP KETEPATAN SERVIS ATAS BOLAVOLI

2020· article· id· W3110051243 on OpenAlexfundno aff
Yuni Astuti, Erianti Erianti, Zulbahri Zulbahri, Pitnawati Pitnawati, Arsil Arsil

Bibliographic record

VenueAltius Jurnal Ilmu Olahraga dan Kesehatan · 2020
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
FundersYork University
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui hubungan daya ledak otot lengan dan koordinasi mata-tangan dengan ketepatan servis atas. Jenis penelitian adalah korelasional. Populasi dalam penelitian ini seluruh anggota tim bolavoli Klub Kecamatan Lubuk Sikaping Kabupaten Pasaman yang aktif mengikuti latihan berjumlah 20 orang. Teknik pengambilan sampel menggunakan total sampling. Untuk pengambilan data daya ledak otot lengan menggunakan tes medicine ball put dan koordinasi mata-tangan dilakukan dengan tes ballwerfen und-fangen test (lempar tangkap bola ke dinding). Sedangkan tes Ketepatan servis atas menggunakan tes ketepatan servis atas. Data dianalisis dengan korelasi product moment dan dilanjutkan dengan korelasi ganda. Hasil penelitian menunjukkan bahwa: 1) daya ledak otot lengan mempunyai hubungan secara signifikan dengan ketepatan servis atas pemain bolavoli dan diterima kebenarannya secara empiris, serta berkontribusi sebesar 19,98%. 2) koordinasi mata-tangan mempunyai hubungan secara signifikan dengan ketepatan servis atas pemain bolavoli dan diterima kebenarannya secara empiris, serta berkontribusi sebesar 23,23%. Dan 3) daya ledak otot lengan dan koordinasimata-tangan secara bersama-sama mempunyai hubungan secara signifikan dengan ketepatan servis atas pemain bolavoli dan diterima kebenarannya secara empiris, serta berkontribusi sebesar 32,49%.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0050.003

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 head0.103
GPT teacher head0.400
Teacher spread0.296 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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