Diophantine Journal of Mathematics and Its Applications
Vol. 3 No. 1 (2024)

Pemodelan Berat Badan Lahir Rendah (BBLR) di Kabupaten Buton Tengah Menggunakan Regresi Logistik

Makkulau (Unknown)
Baharuddin (Unknown)
Ampa, A T (Unknown)
Ihwal, M (Unknown)
Ningtyas, R A (Unknown)
Salam, A (Unknown)
Afiani, N (Unknown)



Article Info

Publish Date
31 Jul 2024

Abstract

Low Birth Weight (LBW) is a baby's weight at birth less than 2,500 grams. The birth of LBW babies is a major contributor to both short and long term neonatal morbidity and death. The number of LBW in Central Buton Regency reported in 2021 is getting worse than in 2020. Therefore, Logistic Regression Analysis in needed to identify and model the factors that influence LBW cases in Central Buton district. The data used in this study is secondary data on the population of birth weight in infants during the period January – June 2022. Data was obtained from the Medical Record of Puskesmas in Central Buton district, Mawasangka district area and Gu district area. The number of samples in the study was 327 infants. The model produced in this study is ĝ(x) = -37535 + 2,3562X1 + 1,2097X2 + 1,4590X4. From this model, it is known that the factors that significantly affect LBW in Buton Tengah Regency are gestational age (X1), Hb levels (X2) and pregnancy complications (X4) with an accuracy value of 90,51%.

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Journal Info

Abbrev

diophantine

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

Description

The DJMA is published twice a year in June and December. This journal is managed by the Mathematics Department of Bengkulu University. The scope of this journal includes the fields of: 1. Mathematics 2. Applied Mathematics 3. Statistics 4. Applied Statistics 5. Computer ...