Jabbar Zen, Malik Abdul and Yuniarti, Wiwik Misaco and Karimasari, Azisya Amalia and Priandini, Novita (2015) E-Vet Smart Rapid System: Detection of Farm Diseases Based on Expert System as Supporting to Epidemic Disease Control. Proceeding International Scholarly and Scientific Research and Innovation. pp. 2221-2224. ISSN EISSN 1307-6892

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Abstract

is as an infection transmitted from animals to human sand vice versa currently having increased in the last 20 yea-s. The experts'scientists predict that zoonosis will be a threat to the community in the filture since it leads on 70% emerging inEctious diseases (Ell)) and the high mortality of 5096-90%. The zoonosis' spread from animal to human is caused by contaminated food known as foodbome disease. One World One Health, as the coneeptuai prevention toward zoonosis, requires the crossed disciplines cooperation to accelerate and streamline the handling of animal-based disease. E-Vet Smart Rapid System is an integrated in thc vctciinaay expcitisc application is able to Leilitatc the prevention, treatment, and education against pandemic diseases and zoonosis. This system is constructed by Decision Support System (DSS) method provides a database of knowledge that is expected to facilitate the identification of disease rapidly, precisely. and accuately as well as to identify the deduction. The testing is conducted through a black box test case and questionnaire (N =30) by validity and reliability approach. Based on the black box test ease reveals that E-Vet Rapid System is able to deliver the results in aecordaneewith system design, and questionnaire shows that this system is valid (r 20.361) and has a reliability (a 20.3610). basic knowledge about livestock diseases management. Veterinarians as a veterinary disease experts have a crucial role. However, the current number of veterinarian in Indonesia is not sufficient [6] that requires 8000 veterinarians to reach the ideal number. The development of digital information systems is one of breakthroughs resolving the problem of minimum knowledge about disease. It is E-Vet Smart Rapid System as an expertise veterinary application to prevent, treat, and educate toward pandemic and zoonotic diseases. Thus, this system is able to facilitate the fanners or communities having often contact with animals, to diagnose the disease quickly, precise, and accurate. It can also help practitioners to take early action in case of inadequate veterinarians in a particular region. This study aims to test the diagnostics system on the application of E-Vet Smart Rapid System, as well as to test the validity and reliability applications. Keywords : Diagnosis, Zoonosis

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