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Record W2747502963 · doi:10.21009/segar.0402.01

Efek Kerja HIIT (High Intensity Interval Training) Treadmill selama 30 Menit terhadap Kehilangan Cairan Tubuh pada Member Pria MAG (Muscle Academy Gym)

2017· article· id· W2747502963 on OpenAlexfundno aff
Desmon Trisandi, Eko Juli Fitrianto, Yasep Setiakarnawijaya

Bibliographic record

VenueJurnal Segar · 2017
Typearticle
Languageid
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
FundersFakultas Kedokteran, Universitas IndonesiaUniversitas IndonesiaYork UniversityUniversitas Udayana
KeywordsPhysicsInterval trainingTreadmillGynecologyMedicinePhysical therapy

Abstract

fetched live from OpenAlex

EFEK KERJA HIIT (HIGH INTENSITY INTERVAL TRAINING) TREADMILL SELAMA 30 MENIT TERHADAP KEHILANGAN CAIRAN TUBUH PADA MEMBER PRIA MAG (MUSCLE ACADEMY GYM)
 
 Desmon Trisandi1, Eko Juli Fitrianto2, Yasep Setiakarnawijaya 2 
 
 1Program Studi Ilmu Keolahragaan
 2Fakultas Ilmu Keolahragaan Universitas Negeri Jakarta, Kampus B, Jakarta
 
 
 Abstrak: Penelitian ini dilaksanakan di Muscle Academy Gym FIK UNJ. Metode yang digunakan ialah eksperimen dengan menggunakan desain Pre-Test dan Post-Test. Sampel yang digunakan berjumlah 15 orang dari 60 populasi member pria Muscle Academy Gym yang aktif.
 Disampaikan tentang nilai rata-rata (x) dari hasil yang didapatkan pada tes awal 64,66 kg dan pada tes akhir 64,08 kg. Dari hasil analisis data diperoleh selisih rata-rata (MD) 0,58 dengan standar deviasi perbedaan (SDD) 0,123 standar error perbedaan rata-rata (SEMD) 0,032. Dalam perhitungan selanjutnya diperoleh nilai t-hitung sebesar 18,12 dan t tabel 2,14 pada taraf signifikan 5% dengan demikian nilai t hitung > t tabel yang menunjukkan bahwa hipotesis nihil (Ho) ditolak dan hipotesis alternatif (H1) diterima. Maka didapat kesimpulan bahwa terdapat pengaruh aktivitas kerja HIIT Treadmill selama 30 menit terhadap kehilangan cairan tubuh pada member pria Muscle Academy Gym.
 Kata Kunci : High Intensity Interval Training, Treadmill, Cairan Tubuh.

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, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.423
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0180.003

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 head0.158
GPT teacher head0.436
Teacher spread0.278 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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