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Fuuy expert system for early warning septicaemia epizootica

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F u u y Expert System for Early Warning

Septicaemia epizootica

Achwil Putra Munir1) , Kudang Boro Seminar2) and Widiyanto Dwi Surya3)

1)

Faculty of Agriculture, University of North Sumatera, Indonesia 2)

Faculty of Agricultural Technology. Bog or Agricultural University, Indonesia 3)

Faculty of Veterinary Medicine. Bogor Agricultural University, Indonesia

Abstract

The main objective of this research is to develop an early warning expert system to monitor the critical level of treatment of Septicaemia Epizootica in certain areas in Indonesia. The method used to approach the probtem domain was limited to vaccination approach method where the early warning information was obtained according to final value of vaccination efectivity score. The system had been designed to utilize multimedia and web technology. The heart of the system is the reasoning engine that implements fuzzy logic to deal with uncertainty in decision making mechanism. The result of this research indicates that the expert system could

simply and consistently process the determination of final value of vaccination efectivity score.

Even more, by exploiting web and multimedia as user interface technology, the expertise resource could be distributed, learned, and implemented without time and place constraint.

(2)

F u u y Expert System for Early Warning

Putra Kudang and

"Faculty of Agriculture, North Sumatera, Faculty of Agricultural Technology.

Indonesia Faculty of

Abstract

The main of this research is to develop an

early warning expert system to monitor the level of

treatment of in certain areas in

Indonesia. The method used to approach the

domain was limited to vaccination approach method where

the early warning was obtained according to final value of vaccination score. The system had been designed to utilize and web technology. The

heart of the system is the reasoning engine that implements to deal uncertainty in decision making mechanism. The result of this research indicates that the expert system could simply and consistently process the determination of final value of vaccination efectivity score.

Even more, by exploiting web and multimedia as user interface technology, the resource could be distributed, learned, and without time and place constraint.

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