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Malaria is an infectious disease caused by Plasmodium parasites. It is still a public health problem in the world. The focus of malaria control programs has been developed from short-term to long-term direction . Developing a model to explain the transmission of malaria, in endemic regions, is of high priority in developing health system interventions. The use of the model is the main priority in developing the health system-based interventions. This study was conducted in the Kemukiman Lamteuba, Nanggroe Aceh Darussalam province. The aim of our study is to use mathematical modelling to gain some insights into the fact of local transmission dynamics of malaria in the population and to explore the impact of the aforementioned intervention strategies. It is expected that the model can be used as a references in the policy vector control of infectious vector diseases. Primary data was collected based on field observations such as interview using a questionnaire instrument, identifying the malaria vector, larvae, data on the incidence of malaria cases, breeding places, the establishment of models and mapping with Geographic Information System (GIS). Six species were found. species Anopheles aconitus, Anopheles sinensis, Anopheles vagus, Anpheles tesselatus, Anopheles hyrcanus group and Anopheles kochi . Using ELISA test sprozoit was found positively in Anopheles aconitus, there for this species would be regard as a vector. Acquired Modeling the control of malaria in ecosystem (PKVE) with delayed differential equation system based on observations of the dynamics of interaction between human and mosquito population from which dynamics of malaria in the population can be predicted in such a way that personal protection and integrated management of intervention can be proposed to control the malaria vector. 068106009