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Record W4283745524 · doi:10.36341/jpm.v5i3.2377

PENINGKATAN KESEHATAN FISIK DAN MENTAL IBU HAMIL MELALUI PRENATAL YOGA

2022· article· id· W4283745524 on OpenAlexaff
Dewi Susilawati, Novria Hesti, Nur Fadjri Nilakesuma

Bibliographic record

VenueJurnal Pengabdian Masyarakat Multidisiplin · 2022
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesGynecologyArtMedicine

Abstract

fetched live from OpenAlex

Hasil wawancara dengan Ketua Kelompok Ibu Hamil di PMB Bidan Silvia Nova Sari, didapatkan jumlah ibu hamil adalah 26 Ibu hamil, ibu hamil yang berjunkung sering mengeluhkan rasa sakit di badan, badan terasa lemas, sesak nafas, dan kadang juga merasa cemas dengan kehamilannya. Adapun solusi yang diberikan bidan terkait permasalahan ibu hamil tersebut hanya baru sebatas edukasi biasa kenapa hal-hal tersebut bisa dialami oleh ibu hamil, bidan belum memberikan sebuah edukasi yang sangat efektif dalam mengatasi masalah tersebut salah satunya edukasi dengan teknik yoga prenatal. Bidan juga mengatakan pada kelas ibu hamil belum pernah dilakukan pranatal yoga karena tidak ada bidan mengikuti pelatiahan prenatal yoga. Kegiatan ini dilakukan pada tanggal 23-24 september 2021 di PMB Silvia Nova Sari Wilayah Kerja Puskesmas Air Dingin dengan jumlah sasaran adalah 8 orang ibu hamil. Kegiatan ini diawali dengan pemberikan edukasi kemudian diakhir dengan praktik yoga ibu hamil. Hasil pengabdian ini terjadi peningkatan kesehatan fisik maupun metal ibu hamil setelah dilakukan prenatal yoga. Hasil wawancara dengan ibu hamil dimana mereka mengatakan setalah mengikuti kegiatan ini, perasaan mereka terasa senang, bahkan pegal-pegal yang biasa mereka rasakan tidak begitu terasa. Diharapkan dengan kegiatan ini ibu hamil bisa menerapkan nya di rumah sehingga kesehatan ibu tetap terjaga.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.022
GPT teacher head0.292
Teacher spread0.270 · 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
Published2022
Admission routes1
Has abstractyes

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