Faktor-Faktor yang Berhubungan dengan Pemakaian Kontrasepsi Implant Di Puskesmas Dana Mulya Kabupaten Banyuasin Tahun 2021
Bibliographic record
Abstract
Contraception is an effort to prevent or block fertilization or the meeting between egg and sperm so that a temporary or permanent pregnancy does not occur by using a device, Implant is an effective method of hormonal contraception, not permanent and can prevent pregnancy between three to five year. The purpose of this study is to determine the relationship between Fear of Side Effects, Sources of Information, Husband's Support and Knowledge simultaneously with the use of Contraceptive Implants in Nunggal Sari Village, Dana Mulya Health Center, Banyuasin Regency in 2021. The research design that will be used in this study is descriptive analytic. with a cross sectional approach. This research was carried out in Nunggal Sari Village, Dana Mulya Public Health Center, Banyuasin Regency. The sample in this study amounted to 70 respondents. The results of Univariate analysis showed that of the 70 respondents who used implant contraceptives, 29 respondents (41.4%) and 41 respondents (58.6%) did not use implant contraceptives. From the results of the Chi-Square test, p.value is 0.026 < = 0.05 on the variable fear of side effects, the husband's support variable p.value 0.000 < = 0.05, the source of information variable p.value 0.000 < = 0, 05 dab knowledge variable p.value 0.000 < = 0.05 states that there is a statistically proven relationship between the fear of side effects, family support, sources of information and knowledge with the use of implant contraceptives. The suggestions in this study are intended for the leadership of the Puskesmas. This research can be used as input in order to increase the coverage of implant contraceptive participants, especially in the Dana Mulya Health Center Work Area, Banyuasin Regency.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.037 | 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".