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All Journal Jurnal Kesehatan Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Kesehatan Tambusai PELS (Procedia of Engineering and Life Science) Journal of Information Systems for Public Health Cakrawala: Jurnal Pengabdian Masyarakat Global Jurnal Pengabdian Masyarakat Bangsa Promotor: Jurnal Mahasiswa Kesehatan Masyarakat
Raharjo, Untoro Dwi
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Journal : TIN: TERAPAN INFORMATIKA NUSANTARA

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Pemanfaatan Sistem Informasi Geografis Untuk Memetakan Distribusi Stunting Menggunakan Metode Autokorelasi Morans’I Sari, Rizky Yuspita; Nurhayati, Siti; Raharjo, Untoro Dwi; Sary, A’idah Haniyah
TIN: Terapan Informatika Nusantara Vol 5 No 10 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i10.5756

Abstract

Stunting is a significant issue in Indonesia caused by nutritional deficiencies that can lead to slower growth, cognitive impairment, and learning disorders. The stunting rate in Indonesia in 2022 was 21.6%, and the government aims to reduce this rate to 14% by 2024. Meanwhile, the stunting rate in Kulon Progo Regency reached 14.8%, placing it as the second highest stunting rate in the Special Region of Yogyakarta Province. Therefore, an effective strategy is needed to implement the acceleration program for reducing stunting in Indonesia, particularly in Kulon Progo Regency. One approach to reducing stunting is utilizing geographic information systems to map the distribution of stunting cases and potential causes. This study aims to analyze the spatial distribution of stunting cases in Kulon Progo Regency. The research method is a descriptive quantitative study using a geographic information system application, ArcGIS. The subject of study covers all stunting cases in Kulon Progo Regency from 2021 to 2023 based on secondary data from the Kulon Progo Health Office with a total of 5986 cases. The results of the study showed that stunting cases in Kulon Progo district formed a random pattern with a Moran's index value of -0.063811, and a p-value of 0.869570. In addition, the number of integrated health posts in this area is quite evenly distributed with more than 50 integrated health posts.
Co-Authors Ariningtyas, Ristiana Eka Arinityas, Ristiana Eka Auliyah, Fitratun Bambang Iskamto Dewi, Tika Sari Dwi Nugroho Edy Purwanto Endang Purwanti Guardian Yoki Sanjaya Hidayat, Andra Dwitama Isnainy Mayasari Perdana Lutfan Lazuardi Nina Sarasnita Nina Sarasnita Perdana, Isnainy Mayasari Perwirani, Resia Prabawati, Sulistyaningsih Prasetyawati, Dini Rahmadewi, Pama Sarasnita, Nina Sari, Rizky Yuspita Sary, A’idah Haniyah Setiawan, Mohammad Yusuf Sevtiyani, Imaniar Siti Nurhayati Sukmawati, Anastasia Suci Sulistyaningsih Prabawati Wulandari, Hanifah Yafi Sabila Rosyad Yuspita Sari, Rizky