MANAJEMEN KEUANGAN DAN KEPUASAN KEUANGAN ISTRI PADA KELUARGA DENGAN SUAMI ISTRI BEKERJA
Bibliographic record
Abstract
The purpose of this study was to analyze the influence of family characteristics and financial management on wife financial satisfaction. The research design was a cross sectional of 120 wives from dual earner families whose last child aged 0-6 years old. Samples selected by using nonproportional stratified random sampling technique in Bogor District of West and Central Bogor. The location determined by purposive because represented high density of population with low income and education level. The result of this study found that a quarter wives had good management and one of ten had high level of financial satisfaction. Financial management negatively correlated with wife’s age, family size, length of marriage, and positively correlated with wife’s education, per capita family income, and values of the asset. Financial management and wife’s education had positively significant influenced on wife financial satisfaction. Knowledge of financial management is needed to give to families with low income and low education levels to attain financial satisfaction.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".