2012/04/19 by Andino Maseleno, Maseleno, Andino, Md. Mahmud Hasan +1
Business, Management and Accounting · Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Data Mining and Machine Learning Applications #Decision Support System Applications #Edcuational Technology Systems #FOS: Computer and information sciences #FOS: Mathematics #Probability (math.PR) #cs.AI #math.PR
paper · pdf · doi:10.48550/arxiv.1204.4311
International Conference on Informatics for Development 2011, 26 November 2011, Yogyakarta, Indonesia
arxiv created 2012/04/19 · openalex publication_date 2012/04/19 · arxiv updated 2012/04/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 146 deaths. In this research, the researcher built an Avian Influenza (H5N1) Expert System for identifying avian influenza disease and displaying the result of identification process. In this paper, we describe five symptoms as major symptoms which include depression, combs, wattle, bluish face region, swollen face region, narrowness of eyes, and balance disorders. We use chicken as research object. Research location is in the Lampung Province, South Sumatera. The researcher reason to choose Lampung Province in South Sumatera on the basis that has a high poultry population. Dempster-Shafer theory to quantify the degree of belief as inference engine in expert system, our approach uses Dempster-Shafer theory to combine beliefs under conditions of uncertainty and ignorance, and allows quantitative measurement of the belief and plausibility in our identification result. The result reveal that Avian Influenza (H5N1) Expert System has successfully identified the existence of avian influenza and displaying the result of identification process.