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Journal : Journal of Applied Geospatial Information

Spatial Modeling of Infant Mortality Rate In Sampang Regency : An Ecological Study Saputra, Firman Firdauz; Nursia N, Lily Eky; Kusumawardani, Eva Flourentina; Syam, Nasrianti; Paradhiba, Meutia; Fadillah, Mardi; Ssekalembe, Geofrey
Journal of Applied Geospatial Information Vol. 8 No. 2 (2024): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v8i2.7158

Abstract

Infant mortality rate (IMR) is one of the indicators to measure public health status and community welfare. In the last 3 years (2014-2016), the infant mortality rate in Sampang Regency has increased. The purpose of this study is to develop spatial-based modeling of factors affecting infant mortality rates in Sampang. Researchers used an ecological study design where secondary data came from the Health Office and the Central Bureau of Statistics in Sampang Regency. The dependent variable is infant mortality rate, while the independent variables are delivery assisted by health workers, exclusive breastfeeding coverage, neonatal complications handled, K4 visit coverage, LBW percentage, midwife to population ratio, percentage of clean and healthy household behavior. Data has been analyzed and processed using Geoda and Quantum GIS applications. Based on statistical tests, the spatial model is obtained: ŷi= -21.82+0.706 ∑(i=1,i≠j)^n wijyi-0.61* childbirth attended by health worker+0.10* neonatal complications attended by health worker+1.89* LBW babies. Each variable of childbirth assisted by health workers increased by 10, it can decrease the infant mortality rate by 6.1 cases. Each variable of neonatal complications not handled by health workers rises 10 units, it can increase the infant mortality rate by 1 case. each variable of LBW babies rises 1 unit and it can increase infant mortality cases by 1.89 cases. The results of this study can be used to reduce infant mortality rates that occur by intervening in existing factors.
Co-Authors Aboni, Andes Affiqoh, Azhara Alamsyah, T. Alya, Mimi amanda, fia Anisa, Elvi Anwar, Sufyan Aristanjaya, Reza Armi, Luna Auliya, Rahmah Butar, Devita Butar Chandra Siahaan, Perry Boy Damanik, Elvia Grace Damela, Putri Darmawan Darmawan Darmayanti, Osaria DEWI SARTIKA Dewita, Erni Duana, Maiza Emil, Muhammad Farhan Putra Ernawati Ernawati Fadillah, Mardi Fanany, Irzal Farisnih, Teuku Nih febriyanti febriyanti Fera, Dian Firman Firdauz Saputra Fitriani Fitriani Fitriani Hajjar, Siti Fhadilla Hanifah, Uli Harahap, Laila Apriani Hasanah Is, Jun Musnadi Jihad, Fikri Faidul Johannes Bastira Ginting Jumara, Aldona Kiswanto Kiswanto Lestari, Rachmatika LUKMAN NURHAKIM, LUKMAN Mardliyah, Zahra Rodliyatam Mawaddah Putri Arisma Siregar Moniza, Moniza Murdani, Ihsan Musnadi Is, Jun Naben, Maria Della Imersi Nada, Salma Alfina Putri NASRIANTI SYAM, NASRIANTI Nasution, Azrina Sufi Novita Sari Nugroho, Agung Nuriah, Nuriah Nurilam, Ade Muti Nursia N, Lily Eky Nursiah N, Lili Eky Nursiah, Lili Eky Onetusfifsi Putra Panjaitan, Risky Amalia Paradhiba, Meutia Pratama, Rifaldi Aditiya Putra, Onetusfifsi Raflythenu, Abdul Gani Rahmazani, Rati Ramazan, Feri Rimonda, Rubi Safrizal Safrizal Safrizal Saputra, Firman Firdaus Sasdiyanti, Shapna Sembiring, Tina Wanti Serino Siahaan, Perry Boy Candra Siahaan, Perry Boy Chandra Siti Maisyaroh Fitri Siregar Ssekalembe, Geofrey Wibawa AB, Sultan Khana Widiyastuti, Nabilla Wintah Wintah, Wintah Wiwik Widiyawati Yarmaliza Yarmaliza, Yarmaliza Zakiyuddin, Zakiyuddin