HUBUNGAN PENGETAHUAN TENTANG METODE KONTRASEPSI DENGAN SIKAP TERHADAP PEMILIHAN METODE KONTRASEPSI PADA AKSEPTOR KONTRASEPSI WANITA
Bibliographic record
Abstract
Family planning is the first program established by the Indonesian government as one of the methods to suppress population growth in Indonesia since 1970. Badan Kependudukan dan Keluarga Berencana Nasional (BKKBN) established a sustainable development program namely Kependudukan, Keluarga Berencana dan Pembangunan Keluarga (KKBPK) which is equivalent to the international level program Sustainable Development Goals (SDGs). Participants of Riau province are using active contraception from 2017-2018 always ranks 8th lowest out of 34 provinces in Indonesia with the most methods in the form of non- long-term contraception methods (non-MKJP). One of the reason is low of society knowledge related to contraceptive methods. Knowledge and attitude are foundation in forming a behavior that is suitable with conditions for contraceptive acceptor.The purpose of this research was to know the relationship of knowledge about contraceptive methods with attitudes about the selection of contraceptive methods in women’s contraceptive acceptors in primary health center region of Pekanbaru city.The method of this research used analytic observational study design, with a cross sectional study design. This research was conducted at 12 primary health centers region of Pekanbaru city. The sampling technique is done by stratified random sampling with a sample size of 400 people and statistically tested using the Spearman correlation test. The result of spearman 's rho correlation analysis indicate there is a significant relationship between knowledge and attitude (pvalue = 0.027) with a correlation coefficient value of 0.097.
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 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".