Abstract: In this research, the researcher built a Web Mapping and Dempster-Shafer theory as an early warning system of poultry diseases. Early warning is the provision of timely and effective information, through identified institutions, that allows individuals exposed to a hazard to take action to avoid or reduce their risk and prepare for effective response. In this paper as an example we use five symptoms as major symptoms which include depression, combs, wattle, bluish face region, swollen face region, narrowness of eyes, and balance disorders. Research location is in the Lampung Province, South Sumatera. The researcher’s reason to choose Lampung Province in South Sumatera on the basis that has a high poultry population. Our approach uses Dempster-Shafer theory to combine beliefs in certain hypotheses under conditions of uncertainty and ignorance, and allows quantitative measurement of the belief and plausibility in our identification result. Web Mapping is also used for displaying maps on a screen to visualize the result of the identification process. The result reveal that Poultry Diseases Warning System has successfully identified the existence of poultry diseases and the maps can be displayed as the visualization.

Andino Maseleno and Md. Mahmud Hasan. “Poultry Diseases Warning System using Dempster-Shafer Theory and Web Mapping”. International Journal of Advanced Research in Artificial Intelligence (IJARAI) 1.3 (2012). http://dx.doi.org/10.14569/IJARAI.2012.010308

@article{Maseleno2012,
title = {Poultry Diseases Warning System using Dempster-Shafer Theory and Web Mapping},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010308},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010308},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {3},
author = {Andino Maseleno and Md. Mahmud Hasan}
}