Main Article Content

Abstract

Dengue Hemorrhagic Fever (DHF) is still one of the main public health problems in Indonesia. This disease can threaten public health, efforts to prevent its spread need to be done. As the first step for prevention, it is necessary to do the mapping. Environmental factors have a major influence on the increase and transmission of mosquito-borne diseases such as DHF. The most influential factors include the physical environment consisting of rainfall, air humidity, and population density. The city of Samarinda itself has not maximized the DHF control program, because the government is less effective in mapping the DHF-vulnerable areas based on indicators of increasing cases over the last few years using spatial maps. Mapping the DHF area with the spatial method can maximize the implementation of the DHF control program, the implementation of the fogging program, and other DHF control programs. So to get this information, a geographical information system (GIS) is needed or commonly known as a geographic information system (GIS). This web-based geographic information system application for mapping dengue areas can display detailed information such as the address of the Public Health Center that provides information on the number of cases that occur in each sub-district and a polygon map showing which sub-district has the most cases.

Keywords

Geographic Information System, Dengue Hemorrhagic Fever, Environment.

Article Details

How to Cite
Pedor, T. A., Karim, S., & Prasetya, F. A. S. (2021). Geographic Information System of Dengue Hemorrhagic Fever Area Mapping in the City Of Samarinda. TEPIAN, 2(4), 149-155. https://doi.org/10.51967/tepian.v2i4.677

References

  1. Citra Kunia putri dan trisna insan Noor, 2013. “済無No Title No Title.” Analisis pendapatan dan tingkat kesejahteraan rumah tangga petani 53(9): 1689–99.
  2. Faldy, Ristanto, Wulan P J Kaunang, and A J Pandelaki. 2015. “Pemetaan Kasus Demam Berdarah Dengue Di Kabupaten Minahasa Utara.” Jurnal Kedokteran Komunitas Dan Tropik 3(2): 73–81.
  3. Information, Geographic, System Gis, and D I Kota. 2015. “Pemetaan Penyebaran Penyakit Demam Berdarah Dengue Dengan Geographic Information System (Gis) Di Kota Kotamobagu.” Jurnal Kedokteran Komunitas Dan Tropik 3(2): 48–56.
  4. Kemenkes. 2010. “Demam Berdarah Dengue.” Buletin Jendela Epidemiologi 2: 48.
  5. Roziqin, Arif, and Fitri Hasdiyanti. 2017. “Pemetaan Daerah Rawan Penyakit Demam Berdarah Dengue (DBD) Di Pulau Batam.” Jurnal Integrasi 9(2): 106.
  6. Saputra, Ade. 2019. “Penerapan Usability Pada Aplikasi PENTAS Dengan Menggunakan Metode System Usability Scale (SUS) (Usability Implementation in PENTAS Application Using the System Usability Scale (SUS) Method).” JTIM : Jurnal Teknologi Informasi dan Multimedia 1(3): 206–12.
  7. Sasmito, Ginanjar Wiro. 2017. “Penerapan Metode Waterfall Pada Desain Sistem Informasi Geografis Industri Kabupaten Tegal.” Jurnal Informatika:Jurnal Pengembangan IT (JPIT) 2(1): 6–12.
  8. Syamsir, Syamsir, Andi Daramusseng, and Rudiman Rudiman. 2020. “Autokorelasi Spasial Demam Berdarah Dengue Di Kecamatan Samarinda Utara, Kota Samarinda.” Jurnal Kesehatan Lingkungan Indonesia 19(2): 119–26.
  9. Veritawati, Ionia; Nova, Steffi; Mastra, Riadika. 2020. “Sistem Informasi Pemetaan Penyakit Demam Berdarah Berbasis Informasi Geografis.” Journal of Informatics and Advanced Computing 1(1): 1–5.
  10. Wibowo, Koko Mukti, Kanedi Indra, and Juju Jumadi. 2015. “Sistem Informasi Geografis (SIG) Menentukan Lokasi Pertambangan Batu Bara Di Provinsi Bengkulu Berbasis Website.” Jurnal Media Infotama 11(1): 51–60. https://jurnal.unived.ac.id/index.php/jmi/article/view/252/231.
  11. Yuniarti, U., B. Sudarsono, and A. Wijaya. 2014. “Aplikasi Sistem Informasi Geografis Penyebaran Penyakit Demam Berdarah Dengue Berbasis Web (Studi Kasus : Kabupaten Kudus).” Jurnal Geodesi Undip 3(3): 111–23.