Search Repository Universitas Fort De Kock

Diare merupakan penyebab kematian terbesar kedua pada balita di dunia. Menurut data Riskesdas 2018, prevalensi kejadian diare pada balita pada tahun 2018 yaitu 12,3%, angka ini masih menjadi urgensi karna terget penanganan diare adalah 100% pada tahun 2019. Tujuannya untuk mengetahui penerapan uji regresi logistik biner terhadap kejadian diare. Jenis penelitian ini bersifat wawancara dan observasional dengan pendekatan cross sectional. Uji yang digunakan yaitu Regresi Logistik Biner untuk melihat pengaruh dan pemodelan antar variabel. Dengan sampel 95 responden. Penelitian ini menggunakan data primer. Data didapatkan dari observasi lapangan menggunakan lembar checklist dan kuesioner Pada hasil penelitian diperoleh hasil kejadian diare 57,9% dan ada hubungan antara hygine dan sanitasi makanan yang 93,8% (P-value 0,0001), sarana pembuangan air limbah 67,7% (P-value 0,014), ketersediaan jamban 75,0% (Pvalue 0,0001), pengetahuan ibu 88,2%(P- value 0,0001), perilaku cuci tangan 65,8% (P-value 0,01). Berdasarkan analisis regresi logistic biner menunjukkan bahwa ada pengaruh antara variabel hygine dan sanitasi makanan dengan kejadian diare pada balita (P-value 0,0001 (; = 105,59), pengetahuan ibu dengan kejadian diare (P-value 0,0001 (; = 5,302). Disimpulkan model yang terbaik didapatkan yaitu variabel hygine dan sanitasi makanan dan pengetahuan ibu kedalam pemodelan regresi logistic biner karna mempunyai makna signifikan terhadap kejadian diare pada balita.

Diarrhea is the second reason of death in toddlers in the world. According to Riskesdas 2018 data, the prevalence of diarrhea in toddler in 2018 was 12.3%. It means that it is an urgency case because the target of diarrhea treatment was 100% in 2019. The purpose of this research was to find out Binary Logistic Regression Tests Application for Diarrhea in TiakarCommunity Health Center Payakumbuh in 2020. The type of research was interview and observational with cross sectional approach. The test used Binary Logistic Regression to see the effect and modeling between variables. There were 95 respondents. It used primary data. The data were collected by field observations using checklist sheets and questionnaires The result of this research obtained that 57.9% of the respondents suffered from diarrhea. Then, there was a relationship between hygiene and food sanitation (93.8% and P-value 0.0001), waste water disposal facilities (67.7% and P-value 0.014), availability of latrines (75.0% and P-value 0,0001), mother's knowledge (88.2% and P-value 0,0001) and hand washing behavior (65.8% and P-value 0.01). Based on binary logistic regression analysis revealed that there was an influence between hygiene and food sanitation (P-value 0.0001 (; = 105.59) and mother's knowledge of (P-value 0,0001 (; = 5,302) toward diarrhea. In short, the best model arehygiene, food sanitation and mother's knowledge variables in binary logistic regression modeling because they have a significant meaning on the incidence of diarrhea in toddler.