Faktor – Faktor Yang Mempengaruhi Kejadian Stunting Di Wilayah Kerja Puskesmas Surian
Bibliographic record
Abstract
Abstrak : Stunting adalah masalah gizi utama yang akan berdampak pada kehidupan sosial dan ekonomi dalam masyarakat. Anak balita stunting cenderung akan sulit mencapai potensi pertumbuhan dan perkembangan yang optimal baik secara fisik maupun psikomotorik. Prevalensi angka kejadian stunting di Wilayah Kerja Puskesmas Surian dikelompokkan menjadi, balita sangat pendek 130 orang (11,4%) dan balita pendek 223 orang (19,5%) dengan demikian jumlah balita stunting adalah 353 orang (31,0%).Tujuan Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi kejadian stunting di Wilayah kerja Puskesmas Surian. Jenis penelitian ini adalah penelitian survey analitik, yang menggunakan metode pendekatan cross sectional dengan Sampel sebanyak 92 responden. Pengambilan sampel menggunakan teknik random sampling, yang dilakukan pada bulan Februari 2020. Pengolahan data menggunakan uji statisistik Chi-square (P Value), dan nilai odd Ratio (OR) dengan tingkat kepercayaan Convidence Intervel (CI 95%). Hasil penelitian menunjukkan kejadian stunting 70 (76,1%), ASI Eksklusif 55 (59,8%), sarana sanitasi yang tidak memenuhi syarat 68 (73,9%), status gizi kurang 24 (26,1%). Hasil analisis statistik menunjukkan ada hubungan signifikan antara Stunting dengan ASI eksklusif (P Value 0,000, CI 1,387-2,722), Sanitasi (P Value 0,000, CI 1,213- 2,953) dan Status Gizi (P Value 0,018, CI 1,159-1,659).Kesimpulan penelitian ini bahwa sebaiknya masyarakat terutama ibu hamil dan ibu menyusui agar melaksanakan saran yang diberikan oleh petugas kesehatan untuk memberikan hanya ASI saja kepada bayinya dari usia 0-6 bulan, dan memperhatikan asupan gizi serta sanitasi lingkungan tempat tinggal sehingga mengurangi resiko terjadinya stunting.
 Kata Kunci : Stunting, ASI Eksklusif, Sanitasi, Gizi Balita
 Abstract : Stunting is a major nutritional problem that will have an impact on social and economic life in society. Stunting toddlers tend to have difficulty to achieve optimal growth and development potential both physically and psychomotorically. The prevalence of stunting in Surian Community Health Center consists of very short toddlers 130 people (11.4%) and short toddlers 223 people (19.5%). Then, the number of stunting toddlers were 353 people (31.0%). This study aimed to determine Factors Related to Stunting in Surian Community Health Center. The type of this study was analytic survey research by using cross sectional approach, with a samples of 92 respondents. They had been chosen by random sampling technique, which was conducted in February 2020. The data were analyzed by Chi-square statistical test (P Value) and odd Ratio (OR) value with confidence level of confidence interle (CI 95%. The results showed that stunting event 70 (76.1%), exclusive breastfeeding 55 (59.8%), sanitation facilities that did not meet the requirements 68 (73.9%), malnutrition status 24 (26.1%). Then, the statistical analysis showed that there was a significant relationship between Stunting and exclusive breastfeeding (P Value 0,000, CI 1,387-2,722), sanitation (P Value 0,000, CI 1,213-2953) and nutritional Status (P Value 0.018, CI1,159-1,659). It is suggested to the community, especially pregnant women and breastfeeding mothers, should carry out the advice given by health workers to provide only breast milk to their babies from 0-6 months of age, and pay attention to nutritional intake and sanitation of the living environment so as to reduce the risk of stunting
 Keywords : Stunting, Exclusive ASI, Sanitation, Toddler Nutrition
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".