Authors:
Achmad Faridz Jauhari
;
Yoyon K. Suprapto
and
Achmad Mauludiyanto
Affiliation:
Department of Electrical Engineering Institut Teknologi Sepuluh Nopember Surabaya, Indonesia
Keyword(s):
Panel Data, Fixed Effect Model, Regression Analysis, Ordinary Least Square, Dengue Hemorrhagic Fever.
Abstract:
Dengue Hemorrhagic Fever (DHF) is one of the endemic diseases caused by the bites of Aedes mosquitoes
which are infected with the dengue virus. This disease can cause death. The DHF mortality rate in Pasuruan Regency is high (above 1% per year) in the last four years. Therefore, this study aimed to find a model
that can explain the influencing factors of DHF incidence. The variables used were the number of DHF patients(Y), waste volume(X1), rainy days(X2), health facilities(X3), temperature(X4), number of high-educated
population(X5), population density(X6), and rainfall(X7). The data used were ranging from 2015 to 2018 and
obtained from several agencies in Pasuruan Regency. In this study, the method used was the Panel Data Regression with Fixed Effect Model approach. The results of the model showed R2: 0.804 meaning that the
seven variables were able to explain the effect on the incidence of DHF by 80.4% while the remaining 19.6%
was influenced by other unknown variables. Of the sev
en predictor variables, there are six variables that have
a significant effect consist of Waste Volume, Health Facilities, Temperature, Number of High-Educated Population, Population Density, and Rainfall. Henceforth, future DHF prevention and control policies can be more
emphasized on these factors.
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