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Record W4309611574 · doi:10.33087/jiubj.v22i3.3052

Pengaruh Peran Kader pada Pijat Akupresure terhadap Keberhasilan ASI Eksklusif

2022· article· en· W4309611574 on OpenAlexaff
Eprina Intami, Matda Yunartha, Margareta Pratiwi, Devi Arista

Bibliographic record

VenueJurnal Ilmiah Universitas Batanghari Jambi · 2022
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsBreastfeedingAcupressureMassageMedicineMilk productionBreast milkNursingObstetricsPediatricsAnimal scienceAlternative medicine

Abstract

fetched live from OpenAlex

In order to reduce infant morbidity and mortality, UNICEF and WHO recommend that babies should be given breast milk for at least 6 months and continue until the baby is two years old. Thus mothers can maintain exclusive breastfeeding for 6 months, WHO recommends initiating breastfeeding within the first hour of life. This study aims to see the effect of acupressure massage on milk production. The method used in this study is quasi-experimental design. This research was conducted in the working area of Puskesmas Kebun Kopi Jambi City in January - December 2020. The number of samples in this study were 30 respondents of breastfeeding mothers divided into 2 groups, namely the intervention group and the control group. The results of this study was analyzed using T-test. Based on the research results, the p-value is 0.000 (p <0.05). This shows that there is an effect of acupressure massage performed by cadres on the milk production process. The results showed that the provision of acupressure massage can affect the production of breast milk so that the milk obtained increases and smoothly so that breastfeeding mothers do not have to worry about their ability to breastfeed for up to 6 months. Exclusive breastfeeding for 6 months is highly recommended so that acupressure massage can help mothers in increasing milk production during the breastfeeding process.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.016
GPT teacher head0.251
Teacher spread0.235 · 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; a candidate call from one teacher head, not a consensus.

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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