  This paper performs the utilization of cellular automata computational
analysis as the dynamic model of spatial epidemiology. Here, explored
elementary aspects of cellular automata and its application in analyzing
contagious disease, in this case avian influenza disease in Indonesia.
Computational model is built and map-based simulation is performed using
several simplified data of such transportation through sea in Indonesia, and
its accordance with poultries in Indonesia, with initial condition of notified
avian influenza infected area in Indonesia. The initial places are Pekalongan,
West Java, East Java, and several regions in Sumatera. The result of simulation
is showing the spreading-rate of influenza and in simple way and describing
possible preventive action through isolation of infected areas as a major step
of preventing pandemic.
