Fuuy expert system for early warning septicaemia epizootica
F u u y Expert System for Early Warning
Septicaemia epizootica
Achwil Putra Munir1) , Kudang Boro Seminar2) and Widiyanto Dwi Surya3)
1)
2)
Faculty of Agriculture, University of North Sumatera, Indonesia
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.
Keywords: fuzzy logic, expert system, early warning system, Septicaemia epizootica
Abbott.
rnycorrhizas
so11
Marschner,
0. Dell.
mycor~hizal
Rochyadi, A.,
of
Gigaspora
Prosiding
Pusat Penelihan
Konservasi
Perkebunan.
F u u y Expert System for Early Warning
Septicaemia epizootica
Mymrrizal.
Nutrien
89-1
A-Smith.
germination
margrifa
Mikotiza
Hutan
Departemen
sporulation
Mycorrhizal
72:95&957.
"Faculty of Agriculture, Univers~tyof North Sumatera, Indone61a
Faculty of Agricultural Technology. Bogor Agncuhural Un~vers~ty,
Indonesia Faculty of Veterinarj Medicme. b g o r Agricuttural Un~uerkity,
2J
''
lndones~a
N.F. dan Oudjawati
Pengamh Mikoriza
pupuk fosfat
mikoriza
pertumbu
tanarnan kedelai.
Mikoriza
Pusat Penelitian
Hutan
98.
D.J.Read.
Harcourt
Diego.
N.C.Schenck.
Achwil Putra ~ u n i r ' ' ,Kudang Boro ~ernina?)and
Widiyanto Dvvl surya3)
PostVesicular-
Abstract
The main objecbve of this research is to develop an
early warning expert system to monitor the critial level of
treatment of Sepficaemia Epizoofica in certain areas in
Indonesia. The method used to approach the problem
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 muhimedia and web technology. The
heart of the system is the reasoning engine that implements
funy I%ic to deal wrth 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 experbse resource could be
distributed, learned, and implementd without time and
place constraint.
Keywords: f m y logic, expert system, early warning system,
Septicamia epizootica
Septicaemia epizootica
Achwil Putra Munir1) , Kudang Boro Seminar2) and Widiyanto Dwi Surya3)
1)
2)
Faculty of Agriculture, University of North Sumatera, Indonesia
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.
Keywords: fuzzy logic, expert system, early warning system, Septicaemia epizootica
Abbott.
rnycorrhizas
so11
Marschner,
0. Dell.
mycor~hizal
Rochyadi, A.,
of
Gigaspora
Prosiding
Pusat Penelihan
Konservasi
Perkebunan.
F u u y Expert System for Early Warning
Septicaemia epizootica
Mymrrizal.
Nutrien
89-1
A-Smith.
germination
margrifa
Mikotiza
Hutan
Departemen
sporulation
Mycorrhizal
72:95&957.
"Faculty of Agriculture, Univers~tyof North Sumatera, Indone61a
Faculty of Agricultural Technology. Bogor Agncuhural Un~vers~ty,
Indonesia Faculty of Veterinarj Medicme. b g o r Agricuttural Un~uerkity,
2J
''
lndones~a
N.F. dan Oudjawati
Pengamh Mikoriza
pupuk fosfat
mikoriza
pertumbu
tanarnan kedelai.
Mikoriza
Pusat Penelitian
Hutan
98.
D.J.Read.
Harcourt
Diego.
N.C.Schenck.
Achwil Putra ~ u n i r ' ' ,Kudang Boro ~ernina?)and
Widiyanto Dvvl surya3)
PostVesicular-
Abstract
The main objecbve of this research is to develop an
early warning expert system to monitor the critial level of
treatment of Sepficaemia Epizoofica in certain areas in
Indonesia. The method used to approach the problem
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 muhimedia and web technology. The
heart of the system is the reasoning engine that implements
funy I%ic to deal wrth 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 experbse resource could be
distributed, learned, and implementd without time and
place constraint.
Keywords: f m y logic, expert system, early warning system,
Septicamia epizootica