Lag Spatial Modeling for Finding the Factors Affecting Infants Mortality Rate in East Java

Melaniani Soenarnatalina, NIDN. 0025126011 (2017) Lag Spatial Modeling for Finding the Factors Affecting Infants Mortality Rate in East Java. Advanced Science Letters, 23 (4). pp. 3355-3357. ISSN 1936-6612

[img] Text (Full Text)
Melaniani soenarnatalina.pdf

Download (882kB)
[img] Text (Peer Review)
C1.pdf

Download (4MB)
[img] Text (Similarity)
Lag Spatial Modeling for Finding the Factors Affecting Infants Mortality Rate in East Java.pdf

Download (1MB)
Official URL: https://www.ingentaconnect.com

Abstract

Background: Auto regressive spatial model or spatial lag is a model that combines a simple regression model with spatial lag dependent variable using cross section data. East Java Province was one of the five largest contributors to IMR in Indonesia. In 2014, the IMR in East Java was 9 per 1,000 live births. Thus, this research aimed to find the factors affecting IMR using the spatial lag. Method: This research was using a non-reactive or non-obstructive study method, by analyzing secondary data from the health profile and Susenas (National Social Economic Survey) of East Java Province in 2014. The dependent variable was the IMR and the independent variable were the coverage of pregnancy visit K1 (X2), coverage of pregnancy visit K4 (X3), delivery by health personnel (X4), neonatal visit 1 (X5), and complete neonatal visit (X6), the ratio of midwives (X7) and the ratio of Posyandu (X8). Results: The result of the study showed: (1) Variables that affect the IMR were the coverage of the first antenatal visit or K1 (p = 0.003), the coverage of the fourth ante natal visit or K4 (p = 0.01), and the ratio of Posyandu (p = 0.03). (2) IMR model that being obtained was = 1.68 * coverage of first ante natal visit K1 − 1.20 * coverage of fourth ante natal visit or K4 − 0.12 * Posyandu ratio + 0.29 WY. Conclusion: Variables of coverage of the first ante natal visit or K1, coverage of the fourth ante natal visit or K4 and the ratio of Posyandu supported the IMR model by 67%.

Item Type: Article
Uncontrolled Keywords: Spatial Lag Model, Infant Mortality Rate, IMR, Indonesia
Subjects: R Medicine > RJ Pediatrics
R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services
Divisions: 10. Fakultas Kesehatan Masyarakat
Creators:
CreatorsNIM/NIDN
Melaniani Soenarnatalina, NIDN. 0025126011UNSPECIFIED
Depositing User: Tn Chusnul Chuluq
Date Deposited: 17 Sep 2019 08:12
Last Modified: 23 Sep 2019 05:53
URI: http://repository.unair.ac.id/id/eprint/86740
Sosial Share:

Actions (login required)

View Item View Item