Important Announcement: Journal status update, Garuda indexation, and the separation of OJS systems.
Nine Elissa Maharani
Staf Pengajar Bagian Kesehatan Lingkungan Fakultas Kesehatan Masyarakat Universitas Veteran Bangun Nusantara Sukoharjo
Pranichayudha Rohsulina
Staf Pengajar Program Studi Geografi Fakultas Keguruan dan Ilmu Pendidikan Universitas Veteran Bangun Nusantara Sukoharjo
Keywords: House index, Maya index, DBD, SIG
ABSTRACT
Dengue fever is an important public health problem in indonesia, in the year 2014 the number of death due to dengue fever in Indonesia 903 people from 99499 cases. Sukoharjo district is one of the bloody endemic distrric in central java. In eradicating dengue fever, the larva survey used is a visual method using the entomology indicator, the house index and maya index. This study aims to determine the effect of house index and maya index on the incidence of dengue fever in Grogol district of Sukoharjo using geographic information system (GIS). The research method used is an analytical survey wuth cross sectional approach. The result of the study showed a maya index effect on the incidence of dengue fever in Grogol district of Sukoharjo (p value 0,00), there is no effect of house index on the incidence of dengue fever in Grogol District of Sukoharjo (p value 0,87).
REFERENCES
[1] Danuedono,Projo. 1997. Pemodelan Spasial Untuk Kajian Kesehatan (Kontribusi Penginderaan Jauh dan SIG untuk Penanganan Masalah Kesehatan). Disampaikan pada SEMNAS PJ UGM. Yogyakarta.
[2] Depkes RI 2008. Pencegahan dan Pemberantasan Demam Berdarah Dengue di Indonesia. Direktorat Jenderal Pengendalian Penyakit dan Penyehatan Lingkungan. Jakarta.
[3] Firri, Jb. 2013. Survey Jentik Nyamuk Aedes Aegypti dan Indeks Perhitungan. Word Press. Jombang. From: (http://firiijb.wordpress.com, diakses 5 Juni 2017).
[4] Holani. 2002. Prediksi Dinamika Penularan Malaria di Wilayah Pegunungan. Word Press. Jombang. From: (https://firiijb.wordpress.com, diakses 6 Juni 2017).
[5] Kaiser, R, Spiegel,PB, Genderson AK. 2003. The Application of Information System and Global Positioning in Humanitarium Emergencies. Leassons L. Programme Implications and Future Research Disaster.
[6] Lazano,R.D; Rodroguez,MH; Avalia,MH. 2002. Gender Related Family and Aedes aegypti Larval Bleeding Risk in Southern Mexico in SaludPublica de Mexico44 :237-242
[7] Litbangkes. 2015. DBD dan Lingkungan. Jakarta. From: (http://www.litbang.kemkes.go.id/node/681, diakses 6 Juni 2017)
[8] Peristiowati. 2014. Evaluasi Pemberantasan DBD dengan Metode Spasial GIS dan Identifikasi Tipe Virus Dengue di Kota Kediri. Sekolah Tinggi Ilmu Kesehatan Surya Mitra Husada. Kediri. Kantor Lingkungan Hidup Kota Kediri. Kediri.
[9] Riyanto Agus. 2010. Aplikasi Metodologi Penelitian Kesehatan. Nuha Medika. Yogyakarta.
