Dengue Fever Distribution Network Model Using Fuzzy Analytic Hierarchy Process (FAHP)

Dengue fever (DHF) is a disease caused by the dengue virus that is transmitted from person to person through mosquito bites. The number of dengue fever cases in Indonesia is still very high, especially in Malang regency, East Java province. It is necessary to have a model for the spread of dengue fever with the spread dynamics that can develop quickly to be used as guide information. The depiction of a dengue spread model can be a network where nodes are described as regions while links are defined as the result of probability weights on regions. The previous research has developed a dynamic model of dengue fever spread where there is an interaction between nodes that describe the shape of the network and related direction if there is a case of dengue fever in the region. But the study only pays attention to indicators of the presence or absence of dengue cases in the area to describe the spread of dengue fever. In addition to the number of dengue cases in the area, several factors need to be considered in the spread of dengue fever, such as average temperature, flick-free rate, average humidity, and population density. Therefore, development is needed by considering several parameters that affect the spread to see a region's potential for dengue fever outbreaks. In this study, the authors propose a further calculation that is used to determine the potential weight of multiple attributes using the Fuzzy Analytic Hierarchy Process to see the potential of a region to the outbreak of dengue fever. Experiments show that the proposed method can provide a model of dengue fever spread with a different number of links to previous studies due to considering the probability values of several factors in the area.