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Journal : EnviroScienteae

ANALISIS PREDIKSI KEJADIAN LUAR BIASA DEMAM BERDARAH DENGUE DI KOTA BANJARMASIN Rahmiati Rahmiati; Lisda Hayatie; Muhammad Lazuardi Khalfi; Ismi Aulia; H. Sufiani
EnviroScienteae Vol 17, No 1 (2021): ENVIROSCIENTEAE VOLUME 17 NOMOR 1, APRIL 2021
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/es.v17i1.11363

Abstract

Dengue hemorrhagic fever (DHF) is a case that often affects areas in Indonesia and is seasonal. Geographical information system (GIS) is a tool that can be used to help analyze the condition of an area against disease to determine what action should be taken as an early warning. Information on the distribution of disease in an area can be mapped spatially, in the cities of Banjarmasin with different conditions, especially from the distribution of the population, the distance to road access and other components. This study aims (a) to build spatial data containing the attributes of dengue fever sufferers for Banjarmasin City; (b) distributed of epidemiological cases of dengue fever map in Banjarmasin based on population density, distance of housing to roads, rainfall, larvae free rate, number of cases, topography, land use, distance of settlements to water sources. Meanwhile, in the database modeling, it is described in a spatial analysis and categorization of high, medium and low events. This study used the spatial database information that has been built showing changes number of dengue cases. The number of cases dengue fever in Banjarmasin City at 2018-2019 has always increased every year in the East Banjarmasin area, close to Banjar Regency, decline in North Banjarmasin, the residual is dynamic and has not decreased significantly. The pattern of the occurrence dengue cases in Banjarmasin is clustered from the ANN (Average Nearest Neighbor), so that the surrounding area is vulnerable to an outbreak. The distribution of DHF sufferers based on age is dominated by the age group 6-18 years, the lowest is the 25-53 years old group with gender of the patient was dominated by male. Banjarmasin area with high vulnerability in almost all areas based on environmental variables, demographics and incidence rates as determinants of high and low prediction modeling.
Co-Authors Adma Hayani Dona Yanti Agatha Theodora Desvita Raharjo Alex Syamsuddin Alfina Hilma Anastasia Larasati Andi Azizah M Budiarman Ardi Siswanto Arifin Syamsul Asnawati Asnawati Asnawati Asnawati Assyfa, Nadia Salma Nazwa Aulia Azizaturridha Auryn Widyananda Sindunata Azizaturridha, Aulia Batosamma, Novatalia Darwis, Muhammad Wisnu Adi Dewi Indah Noviana Pratiwi Dewi Indah Noviana Pratiwi Dewi Indah Noviana Pratiwi, Dewi Indah Noviana Dewi Nurdiana Didik Dwi Sanyoto Djalalluddin Djalalluddin Dona Marisa, Dona Dwi Setyohadi, Dwi Edi Hartoyo Edyson Edyson Edyson Edyson Eko Suhartono Erida Wydiamala Erida Wydiamala Evorius Oriwarda Farida Heriyani Farida Heriyani Farida Heriyani Farida Heriyani Febrianti, Helma Fie Khaeriyah Fujiati ., Fujiati Gaida Akmila H. Sufiani Hana Najma Maulidya Harris, Muhammad Fathir Naman Hartina Fajar Damayanti Hendra Wana Nur'amin Hendra Wana Nur'amin Hesty Tri Wira Drana Wasistha Hilma Wardatina Husin, Gt Muhammad Irhamna Husna, Hanna Dwi Aprilia Ika Kustiyah Oktaviyanti Ika Novitasari Irawanto Ismi Aulia Isnaini Isnaini Isnaini Isnaini Istiana Istiana Istiana Istiana Joharman Joharman Joharman Joharman Kartika Veranisa Putri Krisma Aulia Lena Rosida Maisy Naqinie Mashuri Mashuri Mayang Rustia Anggraini Putri Meitria Syahadatina Noor Meitria Syahadatina Noor Melynda Lauren Muhammad Ali Riswandi Muhammad Ali Riswandi, Muhammad Ali Muhammad Fathir Naman Harris Muhammad Ihrammuf Tezar Muhammad Lazuardi Khalfi Muthmainah, Noor Muthmainah, Noor Nadiya Alifa Nur Istiqomah Nadya Hasna Aulia Nasywa Melanie Sugiyanto Nelly Al Audhah Nelly Al Audhah Nika Sterina Skripsiana Nisa Febiana Noer Komari Noor Muthmainah Novatalia Batosamma Nur Annisa Humaira Nur Qamariah Nur Qamariahi Nur Widy Wulandari Nurdiana Dewi Nuria Ra’yal Ain Nur’amin, Hendra Wana Panghiyangani, Roselina Patimah Patimah Putri Sri Hartini Rabbina Rahmah Rahmiati Rahmiati Rahmiati Rahmiati Rahmiati Rahmiati Rahmita Rahmita Reynaldo Gazali Rosihan Adhani, Rosihan Sandi Paufik Sari, Annida Permata Savitri Sita Nursanti Ali Silapurna, Endah Labati Silapurna, Endah Labaty Sinta Anisa Siti Juliati Sufiani Sufiani Syellin Ivasga Baylina Triawanti Triawanti Wahyuni Wahyuni Windy Yuliana Budianto, Windy Yuliana Wydiamala, Erida Zaitun, Nani Zulfa Emelda