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All Journal Teknika Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information Sinkron : Jurnal dan Penelitian Teknik Informatika SemanTIK : Teknik Informasi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Sistem Informasi dan Aplikasi JURNAL PENDIDIKAN TAMBUSAI JOURNAL OF SCIENCE AND SOCIAL RESEARCH JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Journal of Information Systems and Informatics Jurnal Ilmiah Sains dan Teknologi (SAINTEK) JATI (Jurnal Mahasiswa Teknik Informatika) JTIK (Jurnal Teknik Informatika Kaputama) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Journal of Computer Networks, Architecture and High Performance Computing Journal of Electrical Engineering and Computer (JEECOM) Jurnal Responsif : Riset Sains dan Informatika Jurnal Info Sains : Informatika dan Sains Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Sistem Informasi Bisnis (JUNSIBI) Journal of Information Systems and Technology Research Sistem Pendukung Keputusan dengan Aplikasi Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sistem Informasi dan Manajemen
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Journal : Journal of Applied Geospatial Information

Geographic Information System Mapping Risk Factors Stunting Using Methods Geographically Weighted Regression Rambe, Siska Mayasari; Suendri, Suendri
Journal of Applied Geospatial Information Vol 7 No 2 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i2.6936

Abstract

Technological developments in this era of globalization are very rapid. This requires humans to enter life together with information and technology. Stunting as a chronic nutritional problem in children, continues to be a global challenge. Geographic Information Systems (GIS) have proven to be effective tools in spatial analysis and distribution mapping stunting. In this context, method Geographically Weighted Regression (GWR) has been used to model the spatial relationship between factors that contribute to stunting. This research will produce a Geographic Information System using the method Geographically Weighted Regression. With this Geographic Information System, it can display location points and affected information stunting. Because of this system, the Padang Lawas Utara District Health Office does not need to store location data stunting in archive form again but digitally. This study underscores the importance of using GIS with the GWR method in mapping patient locations stunting. Through the integration of geographic data and spatial analysis, we can generate a better understanding of the influencing factors stunting at the local level, which in turn can support prevention and response efforts stunting which is more effective.