ANALISIS SPASIAL DETERMINAN KEMATIAN IBU DI KABUPATEN MUARA ENIM TAHUN 2020-2022

NADELAH, ERSI LOIS and Ermi, Nurmalia (2024) ANALISIS SPASIAL DETERMINAN KEMATIAN IBU DI KABUPATEN MUARA ENIM TAHUN 2020-2022. Undergraduate thesis, Sriwijaya University.

	Text RAMA_13201_10011382025142.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (5MB) | Request a copy
	Text RAMA_13201_10011382025142_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (9MB) | Request a copy
	Text RAMA_13201_10011382025142_0002089205_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (853kB)
	Text RAMA_13201_10011382025142_0002089205_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (317kB) | Request a copy
	Text RAMA_13201_10011382025142_0002089205_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_13201_10011382025142_0002089205_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_13201_10011382025142_0002089205_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (234kB) | Request a copy
	Text RAMA_13201_10011382025142_0002089205_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (127kB) | Request a copy
	Text RAMA_13201_10011382025142_0002089205_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (135kB) | Request a copy
	Text RAMA_13201_10011382025142_0002089205_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy

Abstract

Maternal mortality is one of the sensitive indicators that can assess the good and bad quality of a country's health. It is one of the SDGs (Sustainable Development Goals) targets, namely the Maternal Mortality Rate (MMR) targeted at less than 70 per 100,000 live births by 2030. Muara Enim Regency is ranked first with the highest maternal mortality cases in South Sumatra Province in 2022. Mapping is a form of data presentation that can make it easier for readers to understand health problems that are happening in their environment and can help policymakers in making decisions and prioritizing health problems. The purpose of this study is to describe the determinants of maternal mortality in Muara Enim Regency in 2020-2022. This research uses a descriptive method with an ecological study approach and uses secondary data from the Muara Enim District Health Service. Data analysis uses overlay spatial analysis and buffer analysis. The results showed that high maternal mortality cases were centered in the work areas of Muara Enim Health Center and Tanjung Enim Health Center. The high number of maternal deaths in Muara Enim Regency is caused by poor handling of obstetric complications and unequal distribution of health center services. There is a need to increase collaboration with other sectors, improve access and quality of health workers and disseminate information related to maternal health services.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis spasial, determinan kematian ibu
Subjects:	R Medicine > RA Public aspects of medicine > RA643-645 Disease (Communicable and noninfectious) and public health
Divisions:	10-Faculty of Public Health > 13201-Public Health (S1)
Depositing User:	Ersi Lois Nadelah
Date Deposited:	25 Jun 2024 06:19
Last Modified:	25 Jun 2024 06:19
URI:	http://repository.unsri.ac.id/id/eprint/145073

Actions (login required)

View Item