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Based on Cumulative Number of Confirmed Human Cases of Avian Influenza (H5N1)Reported to World Health Organization (WHO) in the 2011 from 15 countries,Indonesia has the largest number death because Avian Influenza which 146deaths. In this research, the researcher built a Web Mapping andDempster-Shafer theory as early warning system of avian influenza. Earlywarning is the provision of timely and effective information, throughidentified institutions, that allows individuals exposed to a hazard to takeaction to avoid or reduce their risk and prepare for effective response. Inthis paper as example we use five symptoms as major symptoms which includedepression, combs, wattle, bluish face region, swollen face region, narrownessof eyes, and balance disorders. Research location is in the Lampung Province,South Sumatera. The researcher reason to choose Lampung Province in SouthSumatera on the basis that has a high poultry population. Geographically,Lampung province is located at 103040' to 105050' East Longitude and 6045' -3045' South latitude, confined with: South Sumatera and Bengkulu on North Side,Sunda Strait on the Side, Java Sea on the East Side, Indonesia Ocean on theWest Side. Our approach uses Dempster Shafer theory to combine beliefs incertain hypotheses under conditions of uncertainty and ignorance, and allowsquantitative measurement of the belief and plausibility in our identificationresult. Web Mapping is also used for displaying maps on a screen to visualizethe result of the identification process. The result reveal that avianinfluenza warning system has successfully identified the existence of avianinfluenza and the maps can be displayed as the visualization.

Avian Influenza (H5N1) Warning System using Dempster-Shafer Theory and Web Mapping