International Journal of Electrical and Computer Engineering (IJECE) Vol. 13, No. 4, August 2023, pp. 4535~4546 ISSN: 2088-8708, DOI: 10.11591/ijece.v13i4.pp4535-4546  4535 Journal homepage: http://ijece.iaescore.com Genetic algorithm to optimization mobility-based dengue mathematical model Tegar Arifin Prasetyo 1 , Roberd Saragih 2 , Dewi Handayani 2 1 Department of Information Technology, Faculty of Vocational Studies, Institut Teknologi Del, Sitoluama, Indonesia 2 Department of Mathematics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, Indonesia Article Info ABSTRACT Article history: Received Nov 15, 2022 Revised Dec 15, 2022 Accepted Dec 17, 2022 Implementation of vaccines, mosquito repellents and several Wolbachia schemes have been proposed recently as strategies against dengue. Research showed that the use of vaccine and repellent is highly effective when implemented to individuals who are in area with high transmission rates, while the use of Wolbachia bacteria is strongly effective when implemented in area with low transmission rates. This research is to show a three-strategy combination to cope with the dengue using mathematical model. In dengue mathematical model construction, several parameters are not yet known, therefore a genetic algorithm method was used to estimate dengue model parameters. Numerical simulation results showed that the combination of three strategies were able to reduce the number of infected humans. The dynamic of the human population with the combination of three strategies on average was able to reduce the infected human population by 45.2% in immobility aspect. Furthermore, the mobility aspect in dengue model was presented by reviewing two areas; Yogyakarta and Semarang in Indonesia. The numerical solutions showed that the trend graph was almost similar between the two areas. With the maximum effort given, the combination control values decreased slowly until the 100 th day. Keywords: Genetic algorithm Mobility-based dengue Numerical analysis Optimal control Parameter estimation This is an open access article under the CC BY-SA license. Corresponding Author: Tegar Arifin Prasetyo Department of Information Technology, Faculty of Vocational Studies, Institut Teknologi Del Sisingamangaraja Street, Sitoluama, Laguboti 22381, Indonesia Email: tegar.prasetyo@del.ac.id 1. INTRODUCTION Dengue is an infectious disease caused by dengue virus and becomes one health issue predominantly found in tropical and sub-tropical area. This disease is a mosquito-borne infection from dengue-infected female Aedes aegypti. The dengue virus consists of 4 serotypes called DEN-1, DEN-2, DEN-3 and DEN-4 [1]–[3]. These serotypes can cause yearly epidemic in the tropical and sub-tropical area. Since 1943 when the dengue-virus serotypes were first isolated in Japan, the number of dengue transmissions is raising in all of the tropical countries [4]. Indonesia as one of the tropical countries in the world, is now classified as endemic country with category-A for dengue-virus infections in Southeast Asia. One of the most effective ways to cope with the mosquito bites is through personal protection, including the use of diethyltoluamide (DEET)-based mosquito repellent. DEET-based mosquito repellents can cause the central nervous system of the mosquito. Within 1 meter, DEET ingredient is effective to deter mosquito up to 60% [5]. Moreover, researchers have investigated some medication to treat dengue infections but the result was not optimum [6]. One most common treatment conducted in the past research was to use living vector to create vaccine. Vaccine use can reduce the dengue case up to 80% in one area identified as high transmission rate [7].