Hubungan Sikap Ibu Tentang Pijat Bayi dengan Perilaku Ibu dalam Memijat Bayi di Posyandu Wilayah Kerja Puskesmas Sidomulyo Pekanbaru
Bibliographic record
Abstract
Massage is an art of medical care and treatment that has been practiced since years ago. Massage can be done at any age, including infants. Touch and massage to new born can guarantee continuous skin contact that can maintain the feeling of safety in infants. Based on preliminary studies conducted in Posyandu Kasih Ibu Perum Putri indah RW 5, Posyandu Kenangga / Jl. Pahlawan RW 8, and Dang Merdu Asri in Puskesmas Sidomulyo Pekanbaru. The information obtained from several officers at posyandu, that mothers who visited posyandu had been informed about the benefits of infant massage, but in reality many of them do not want to do massage on their babies. The purpose of this research was to know Relations of mother’s attitude about baby massage with mother’s behaviour in baby massage at Puskesmas Sidomulyo Pekanbaru Year 2014. This research used analytic quantitative research. Collecting data was carried out by questionnaire. The population in this study were all mothers who had babies 0-11 months lived at residence in Sidomulyo health center Pekanbaru work area in 2014 with 68 samples. The sampling technique was purposive sampling. Data analysis performed was univariate and bivariate. The results obtained P value = 0.002. The value is smaller α = 0.05. It means there is relationship of mother attitudes about baby massage with massaging behavior or hypothesis (Ha) was accepted. Based on the result, it is expected to posyandu officer to open baby massage class for motivating mother to do baby massage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".