PENERAPAN THEORY OF PLANNED BEHAVIOR DALAM PEMBERIAN ASI EKSKLUSIF DI KECAMATAN TAROKAN
Bibliographic record
Abstract
Introduction: The achievement of exclusive breastfeeding in Kediri Regency 2020 is only 13%, in the Tarokan District area there are several villages which are still below the national target of 40%. The mother's role is very dominant in achieving the target of exclusive breastfeeding. This study aims to determine the behavior of mothers in exclusive breastfeeding using the theory of planned behavior. Method: Quantitative research, observational analytic methods, cross-sectional approach. The research location is in the Tarokan District, carried out from 1 to 20 December 2021 using a simple random sampling technique. Independent Variables: Attitude, Subjective Norm, Behavioral Control. Intervening Variable: Intention, Dependent Variable: Behavior using path analysis. Result: Goodness of Fit CMIN = 0.020, probability = 0.888, GFI=1,000, CFI=1,000, NFI=1,000, TLI=1.009, IFI=1.001, RFI=1,000, AGFI=0.999, RMSEA=0.000, PGFI=0.067. Path coefficient of attitude with intention (β=0.754) (p-value=0.000), (CR=14.871). Subjective norm with intention (β=0.130), (p-value=0.000), (CR=3.374). Behavioral control with intention (β=0.126), (p-value=0.000), (CR=3.429). Intention with behavior (β=0,269), (p-value=0.000), (CR=3.176) Attitude with behavior (β=0.637), (p-value=0.000), (CR=9,198). Behavioral control with behavior (β=0.098), (p-value=0.000), (CR=3.292), attitude through intention towards behavior (0.8325) and behavior control over behavior through intention (0.1505). Discussion: The development of research on health behavior needs to be carried out by further researchers so that they can explore in more depth changes in behavior change in order to plan health behavior change programs in order to improve government programs in the health sector
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".