%0 Generic
%A FATHIR , AL-HAQ
%C UNIVERSITAS LAMPUNG
%D 2025
%F eprints:89833
%I FAKULTAS KEDOKTERAN
%T ANALISIS SPASIAL KEJADIAN DEMAM BERDARAH  DENGUE BERDASARKAN SUHU, KELEMBAPAN, DAN   CURAH HUJAN DI KOTA METRO PERIODE JANUARI-MEI  TAHUN 2024 
%U http://digilib.unila.ac.id/89833/
%X Latar Belakang: Demam berdarah dengue merupakan salah satu penyakit infeksi  dengan incidence rate yang terus mengalami peningkatan terutama pada daerah  tropis dan subtropis seperti Indonesia, termasuk Kota Metro di Provinsi Lampung.  Suhu, kelembapan, dan curah hujan diketahui sebagai faktor iklim yang paling  berpengaruh terhadap persebaran penyakit ini. Penelitian ini bertujuan untuk  mengetahui pola distribusi spasial kejadian Demam Berdarah Dengue (DBD)  berdasarkan suhu, kelembapan, dan curah hujan di Kota Metro periode Januari-Mei  tahun 2024.   Metode: Penelitian ini menggunakan analisis Average Nearest Neighbour dan  overlay pada aplikasi berbasis Sistem Informasi Geografis (ArcGis). Data penderita  DBD didapatkan dari Dinas Kesehatan Kota Metro, sementara data suhu,  kelembapan, dan curah hujan melalui website data citra open source.   Hasil: Hasil analisis Average Nearest Neighbour kasus DBD di Kota Metro  menunjukkan Nearest Neighbor Ratio sebesar 0,392353 (Januari); 0,766815  (Februari); 0,857750 (Maret); 0,771606 (April); 0,589998 (Mei); 0,564678  (Januari-Mei), mengindikasikan bahwa jarak antar kasus DBD lebih mengelompok  daripada distribusi yang bersifat acak.   Simpulan: Pola distribusi kasus DBD di Kota Metro periode Januari sampai Mei  tahun 2024 adalah clustered dan terdapat kecenderungan peningkatan jumlah kasus  DBD pada suhu 20°C-30°C, indeks kelembapan normalized difference moisture  index (NDMI) 0,2-0,4, dan curah hujan >300 mm/bulan.   Kata Kunci: demam berdarah dengue, suhu, kelembapan, curah hujan, spasial.  Background: Dengue hemorrhagic fever remains a significant public health  concern, with its incidence rate continuing to rise, particularly in tropical and  subtropical regions such as Indonesia, including Metro City in Lampung Province.  Among the various contributing factors, temperature, humidity, and rainfall are  recognized as the most influential climatic variables affecting the transmission and  spatial distribution of the disease. This study aims to identify the spatial distribution  pattern of dengue hemorrhagic fever (DHF) cases based on temperature, humidity,  and rainfall in Metro City from January to May 2024.   Methods: This study utilized Average Nearest Neighbour analysis and overlay  techniques using a Geographic Information System (GIS)-based application  (ArcGIS). DHF case data were sourced from the Health Departement of Metro City,  while climatic variables (temperature, humidity, and rainfall) were obtained from  open-access satellite data platforms.   Results: The results of the Average Nearest Neighbour analysis of DHF cases in  Metro City showed Nearest Neighbor Ratios of 0.392353 (January), 0.766815  (February), 0.857750 (March), 0.771606 (April), 0.589998 (May), and 0.564678  (January–May), indicating that the spatial distribution of DHF cases was more  clustered than would be expected in a random pattern.   Conclusion: The spatial distribution of DHF cases in Metro City from January to  May 2024 exhibited a clustered pattern, with an increased number of cases observed  at temperatures of 20°C–30°C, normalized difference moisture index (NDMI)  values of 0.2–0.4, and rainfall exceeding 300 mm per month.   Keywords: dengue hemorrhagic fever, temperature, humidity, rainfall, spatial.