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All Journal Jambura Journal of Mathematics Jurnal Varian JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Islamic Economics and Finance Journal Jeksyah Journal of Principles Management and Bussines
Ningsih, Setia
Faculty Of Mathematics And Natural Sciences, Universitas Negeri Gorontalo, Indonesia
Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Mathematics Social Sciences Other

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Journal : JAMBURA JOURNAL OF PROBABILITY AND STATISTICS

 1 
Implementasi Regresi Logistik Biner Stratifikasi Pada Pemodelan Stunting Untuk Anak Balita Di Kabupaten Gorontalo Setia Ningsih; Muhammad Rifai Madonsa; Sri Lestari Mahmud; Ismail Djakaria; Salmun K Nasib
Jambura Journal of Probability and Statistics Vol 5, No 1 (2024): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v5i1.19793

Abstract

Stunting is a condition where toddlers fail to grow due to chronic malnutrition in the first 1000 days of life (HPK). Therefore, stunting cases in Gorontalo Province, especially in Gorontalo Regency, are among the cases that need to be addressed as soon as possible. The data used is secondary data from each Puskesmas in Gorontalo Regency, to see the factors that have a significant effect on the incidence of stunting in Gorontalo Regency in urban and rural areas using the stratified binary logistic regression method. In this study, the independent variables used were Gender, Birth Weight, Birth Height, Toddler Age and Nutritional Status. The test results using the stratified binary logistic regression method show that for urban strata there are 3 significant variables, namely Birth Weight, Age of Toddlers and Nutritional Status, then for rural strata there are 2 significant variables, namely Age of Toddlers and Nutritional Status. Wald test results show that there are differences between urban and rural areas.
Co-Authors Armayani Arsal Dukalang, Hendra Ingka Rizkyani Akolo Ismail Djakaria Muhammad Rezky F. Payu Muhammad Rifai Madonsa Nadia Firza Faradina Salmun K. Nasib Sri Lestari Mahmud