Indonesian J
ournal of Ele
c
trical Engin
eering and
Computer Sci
e
nce
Vol. 2, No. 3,
Jun
e
201
6, pp. 668 ~ 67
4
DOI: 10.115
9
1
/ijeecs.v2.i3.pp66
8-6
7
4
668
Re
cei
v
ed
Jan
uary 7, 2016;
Re
vised
Ma
y 7, 2016; Acce
pted May 2
1
, 2016
A Hyperlink based Graphical User Interface of
Knowle
dge Management System for Broiler Production
Yusra Fern
a
ndo*
1
, Kuda
ng Boro Se
minar
2
, Irma
n Hermadi
3
, Rudi Afnan
4
1
Departme
n
t of Informatics Engin
eeri
ng,
ST
MIK
T
e
knokrat 3514
1 Lam
pun
g
,
Indonesi
a
2
Departme
n
t of Mechan
ical E
ngi
neer
in
g and
Bios
y
s
t
e
m, F
a
cult
y
of Agricult
ural T
e
chnol
og
y, Bog
o
r
Agricult
ural U
n
i
v
ersit
y
, 1
668
0 Bogor, Ind
ones
ia
3
Departme
n
t of Computer Sci
ence, F
a
cult
y o
f
Mat
hematics and N
a
tural Sc
ienc
es, Bogor
Agricult
ural
Univers
i
t
y
, 1
6
6
80 Bog
o
r, Indo
nesi
a
4
Departme
n
t of Animal Pro
duc
tion an
d T
e
chnolo
g
y
, F
a
cu
lt
y
of Animal Sci
e
nce,
Bogor Agr
i
cult
ural U
n
ivers
i
t
y
,
1668
0 Bog
o
r, Indon
esi
a
*Corres
p
o
ndi
n
g
author, e-ma
i
l
: nand
o.tekno
@
gmai
l.com
1
kse
mi
na
r@
ap
ps.i
p
b
.
a
c
.i
d
2
, Irmanh
ermad
i
@
apps.i
pb.ac.i
d
3
, ru
d
i
_a
fn
an
@
i
pb
.a
c.i
d
4
A
b
st
r
a
ct
T
he leve
l of consu
m
pti
on of a
n
i
m
al pr
otei
n i
n
Indon
esi
a
ha
s been i
n
creas
ing. Unfortu
nat
ely, this
increase
has
not been balanc
ed
by
the
adequate r
i
se stock
production.
The use
of c
l
os
ed
house syst
em
for
broi
ler prod
uction is
very potent
i
a
l to c
o
ntribute t
he i
n
crease
of pr
ot
ein s
ourc
e
. T
he pur
pos
e of t
h
i
s
researc
h
is to build a knowledge
m
a
nagem
ent syst
em
broiler product
i
on
m
a
nagement closed house
system. Web-
base
d
system
deve
l
op
ed us
i
ng PHP pr
ogr
amming
lan
g
u
age, a
nd Prot
égé as
proces
sin
g
knowledge representation. This re
search has dev
eloped
the concept
of k
nowle
dge management syst
e
m
w
i
th ontology
mo
de
l of semantic net
w
o
rk, amo
ng the r
e
sults of this re
searc
h
is a conce
p
tua
l
mo
de
l
,
know
led
ge
ma
ps, and pr
ototy
pe pro
ducti
on
ma
na
ge
me
nt
know
led
ge
ma
n
age
ment w
ebsi
t
e broil
e
r clos
e
d
hous
e syste
m
. Know
led
ge
mana
ge
me
nt sy
stem is
eq
ui
p
ped w
i
th r
e
cor
d
in
g syste
m
a
pplic
atio
ns. Th
is
app
licati
on is
useful to b
e
a
b
le to se
e res
u
lts in t
he pr
o
ductio
n
of a p
e
rio
d
of
prod
u
c
tion. T
he prot
otype
know
led
ge
ma
nag
e
m
ent w
e
b
s
ite prov
ides
li
nks cons
ulta
nc
y services for f
a
rmers w
ho w
ant to ask
abo
ut
production
m
a
nagem
ent. The concept
of k
nowledge
m
a
nage
ment system
s can be us
ed as a basis
for
buil
d
i
ng a s
e
mantic w
ebsite t
hat
can
mod
e
l
the proc
ess a
n
d
rul
e
s man
a
g
e
ment br
oil
e
r p
r
oducti
on cl
ose
d
hous
e system.
Ke
y
w
ords
: Kn
ow
ledg
e Man
a
g
e
m
e
n
t System (KMS), broil
e
r m
a
n
a
g
e
m
ent, b
r
o
i
l
e
r p
r
od
ucti
o
n
ma
na
gem
en
t,
close
d
ho
use s
ystem, se
ma
nti
c
w
ebsite, Protégé
Copy
right
©
2016 In
stitu
t
e o
f
Ad
van
ced
En
g
i
n
eerin
g and
Scien
ce. All
rig
h
t
s reser
ve
d
.
1. Introduc
tion
Acco
rdi
ng M
u
lyantini, the con
d
ition of t
he Indone
sia
n
populatio
n is accom
pani
ed by an
increa
se in i
n
come
and
ed
ucatio
n, lifest
y
le ch
a
nge
s,
and n
u
trition
a
l aware
n
e
s
s increa
sed th
at
deman
d for p
oultry comm
o
d
ities a
s
a provider of
ani
mal protei
n al
so in
cre
a
sed
[1]. Accordi
n
g
to
Wijayanto, animal
protein
consumption rate of poultry
in Indone
sian society i
s
still classified
as
low [2] [3]. That's be
ca
use
the sup
p
ly of animal p
r
otei
n from poult
r
y is still not able to match t
h
e
level of Indo
nesi
an p
opul
ation. The
ca
use
of the
la
ck of
su
pply of
broile
r chi
c
ken
s
is due
to
inade
quate m
anag
ement a
nd appli
c
atio
n of technol
o
g
y for Broiler
prod
uctio
n
.
Efforts to increase the p
r
od
uction of b
r
oil
e
r farm
s
conti
nue to be
don
e by the Indo
nesi
an
govern
m
ent.
Indone
sia
be
gan impl
eme
n
ting mod
e
rn
cag
e
sy
ste
m
with a
clo
s
ed
ca
ge
system
model o
r
b
r
oi
ler cl
osed h
o
u
se
system.
Some nei
ghb
oring
co
untri
es in
so
uthea
st Asia that h
a
s
develop
ed broiler cl
osed h
ouse sy
stem like
Thail
and ninety-eig
h
t percent have impleme
n
ted a
clo
s
ed
cag
e
system, whe
r
eas in In
don
esia i
s
still l
e
ss than five
percent a
r
e
implementin
g a
clo
s
ed cag
e
system,
an
d even
then co
nce
n
trated
i
n
Java, espe
cially in We
st Java an
d Ea
s
t
J
a
va [4] [5].
In building a
closed ca
ge
system follo
ws t
he mai
n
princi
ple
s
that provide a
healthy
environ
ment
for breedi
ng
chi
c
ken
s
[6
]. Chick
en
o
p
timum prod
uctivity can
be a
c
hieved
on
con
d
ition thermo-n
eutral
zo
ne, the
tempe
r
ature is a
co
mfortable e
n
vi
ronment, thirty-two to thirty-
three
deg
ree
s
Celsi
u
s for
the pup
s, a
n
d
abo
ut twe
n
t
y-one to t
w
e
n
ty-three
deg
ree
s
centig
ra
de
for age
s ab
o
v
e twenty two days [7]. G
ood en
clo
s
u
r
e mana
geme
n
t can
cont
ro
l the amount
of
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 25
02-4
752
IJEECS
Vol.
2, No. 3, Jun
e
2016 : 668
– 674
669
livestock p
r
o
ductio
n
, deat
h and
enviro
n
mental
pollu
ti
on, with the
efforts of th
e tran
smi
ssi
o
n
of
the viru
s from
bird
s to h
u
m
ans
ca
n be
prevented.
In a
n
organi
zatio
n
that kn
owl
e
dge u
s
u
a
lly o
n
ly
own
ed by tho
s
e involved in
the organi
zat
i
on, so that
the person i
s
n
o
mutation, leave, or die, o
r
whe
r
eve
r
so t
hat he
is mi
ssing, then
ho
w ca
n
thi
s
kn
o
w
led
ge be m
a
intaine
d
by
t
he
o
r
g
anization.
The p
r
o
c
e
ss is
call
ed
knowl
edge
m
anag
ement
maintain
s th
e kno
w
ledg
e
.
The p
u
rpo
s
e
of
kno
w
le
dge
m
anag
ement i
s
how we g
e
t the mo
st o
u
t o
f
the kn
owl
e
d
ge ma
nag
em
ent [8], [9]. The
type of
kno
w
led
ge
ca
n
be ta
cit an
d
impli
c
it
[10]
. Tacit
kn
owledge
is a
knowl
edge
o
r
an
experie
nce th
at re
side
s in
si
de the h
ead
o
f
pers
on. Th
e
kno
w
le
dge t
hat ha
s be
en
documente
d
or
embed
ded i
n
an ap
plication software
(e.
g
. an expe
rt
system, an int
e
lligent
syste
m
, or a d
e
ci
si
on
sup
port sy
ste
m
(DSS) is a
type of implicit knowl
edg
e.
Knowle
dge
manag
eme
n
t is divided i
n
to four
cla
s
se
s. The first is kno
w
le
dge d
i
scovery,
kno
w
le
dge a
c
qui
sition
se
con
d
is h
o
w
we a
c
qui
re
knowl
edge,
kn
owle
dge
sha
r
ing is the n
e
x
t
one, and the f
ourth is the
knowl
edge of
how
we
ap
ply user a
ppli
c
at
ion kn
owl
edg
e [11], [9].
2. Related
w
o
rk
Masel
eno et
al (201
2) dev
elope
d an ea
rly wa
rnin
g sy
stem (Ea
r
ly
Wa
rning Syst
em) web-
based to d
e
t
ect the di
se
ase i
n
po
ultry, the
Demp
ster-Shafe
r
a
ppro
a
ch Th
e
o
ry an
d We
b
Mappin
g
. Th
e five indicat
o
rs
used a
r
e
the sympto
m
s
of dep
re
ssi
on (d
epressio
n
), co
mb
s, wattle
(wattle), blui
sh face region (arou
nd
the face bluish), swollen
face
region (facial
area
swelling),
narro
wne
s
s o
f
eyes (slant
ed eye
sha
p
e
), and
bala
n
c
e di
so
rde
r
s
(disorders b
a
l
ance). Ma
ppi
n
g
web
(web m
appin
g
) i
s
u
s
ed to di
splay
the map
on
the screen t
o
visuali
z
e t
he result
of the
identificatio
n pro
c
e
ss. Th
e
result
s reve
aled t
hat the Poultry Diseas
e Wa
rnin
g System ha
s
su
ccessfully identified
a dise
ase of
poultry a
nd
maps can b
e
displayed
in the form
of
visuali
z
ation mappin
g
[12].
Arowolo et al (2012
) devel
op
an expert
system for th
e diagno
si
s o
f
poultry dise
ase
s
, by
usin
g Visual
Prolog 7.3. T
he syste
m
was teste
d
usi
ng a De
sig
n
Crite
r
ion a
nd
Knowle
dge B
a
se
Expert Sys
t
em for Stratified Root. The res
u
lts
s
h
ow
the value of
8.37, with th
e re
sult
s of the
analysi
s
in the appli
c
atio
n of expert system ca
n b
e
truste
d as
an alternative solutio
n
to the
probl
em of p
oultry dise
ases, the value
includ
ed
in the cate
gory
of 8:00 to 10:00. Exactly
and
Succesful
Go
od De
gre
e
[13].
Alimudin et al
(20
11)
devel
oped
a mo
del
of t
he tempe
r
ature an
d hu
midity distrib
u
tion i
n
clo
s
ed b
r
oile
r house u
s
ing
Comp
utation
a
l Fluid
Dyn
a
m
ics
(CFD) software to
si
mulate pattern
and dynami
c
distrib
u
tion of
temperatu
r
e
and tempe
r
at
ure in
side a b
r
oile
r hou
se.
The sim
u
latio
n
result is
use
d
to ap
ply an
intelligent
co
ntrol
sy
stem
for monito
rin
g
and
control
ling the
opti
m
al
micro-climate
for broile
rs in
side a b
r
oile
r
clo
s
ed
-ho
u
se
system [14] [15].
This
study a
i
ms to build
a kno
w
led
g
e
manag
em
ent system f
o
r broiler p
r
odu
ction
manag
eme
n
t in a closed
hou
se sy
ste
m
. The benef
it of this rese
arch is the
solution for b
r
oiler
bree
de
rs a
n
d
farme
r
s, e
s
pe
cially ag
ri
busi
n
e
ss, to
be able to
a
c
qui
re, share
and sto
r
e t
h
e
kno
w
le
dge
n
eede
d to
dev
elop live
s
to
ck pro
d
u
c
tion
bro
iler. T
he
sco
pe of thi
s
stu
d
y cove
rs all t
he
kno
w
le
dge fo
r the ma
nag
ement a
nd o
p
timization
of
broile
r p
r
od
uction i
n
b
r
oi
ler
closed
ho
use
sy
st
em.
3. Rese
arch
Metho
d
The ba
sis
sta
ges of the re
search follo
w t
he Knowl
edg
e Manag
eme
n
t System Life Cycle
(KMSLC) discu
s
sed in (A
hwa
d
and G
hazi
r
i 201
0)
to focus KM
S blue print developm
ent, as
s
h
ow
n
in
F
i
gu
r
e
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJEECS
ISSN:
2502-4
752
A Hype
rlin
k b
a
se
d Gra
phi
cal User Inte
rf
ace of KMS for Broile
r Pro
ductio
n
(Yu
s
ra Fern
and
o)
670
Figure 1. Con
c
ept Desi
gn
KM System Bluepri
n
t
4. Results a
nd Analy
s
is
The scope of
broile
r chicken pro
d
u
ction mana
gement accordin
g
to
In
done
sia
n
Agriculture M
i
nisteri
a
l De
cree 424 2
001
inclu
d
e
s
poul
try selectio
n, feed mana
ge
ment, physical
manag
eme
n
t of the cage, h
ealth mana
ge
m
ent, system
maintenan
ce
, and harve
sting.
From the
de
scription
of the scop
e of
br
oile
r p
r
od
u
c
tion ma
nag
e
m
ent we
dev
elope
d
a
con
c
e
p
tual
m
odel
ba
sed
o
n
the
con
c
ep
t of semanti
c
-net
and
onto
l
ogie
s
, which
then
code
d t
o
an o
n
tology
ed
ito
r
and
kno
w
led
ge acqui
sition syste
m
softw
are call
ed,
Proté
g
é
versio
n 4.3, as
s
h
ow
n
in
F
i
gu
r
e
s
2
.
B
r
o
ile
r
Dis
e
a
s
e
S
y
mp
t
o
ms
sy
m
p
t
o
m
s
He
a
l
t
h
Su
b
C
l
a
s
s
Me
d
i
c
i
t
a
t
i
o
n
Su
b
C
l
a
s
s
Fe
e
d
ty
p
e
O
f
F
e
e
d
Su
b
C
l
a
s
s
to
ta
l
O
f
F
ee
d
Su
b
C
l
a
s
s
Sy
st
e
m
M
a
i
n
t
e
n
a
n
c
e
Wa
t
e
r
Te
m
p
e
r
a
t
u
r
e
Su
b
C
l
a
s
s
Hu
mi
d
i
t
y
Su
b
C
l
a
s
s
fi
g
u
r
e
t
y
p
e
O
f
F
eed
Pi
c
t
u
r
e
pi
c
t
u
r
e
ph
y
s
i
c
a
l
E
n
c
l
os
ur
e
pi
c
t
u
r
e
Su
b
C
l
a
s
s
te
m
p
e
r
a
t
u
r
e
m
e
di
c
i
na
t
i
on
Ha
v
e
r
s
t
pe
r
f
or
ma
n
c
e
t
o
o
l
sI
n
U
se
Va
cc
i
n
a
t
i
o
n
Su
b
C
l
a
s
s
Ma
i
n
t
e
n
a
n
c
e
pi
c
t
u
r
e
V
e
n
t
il
a
t
io
n
Su
b
C
l
a
s
s
s
p
eed
V
e
n
t
i
l
a
t
i
o
n
to
ta
l
O
f
Fe
e
d
va
c
c
i
n
a
t
i
o
n
c
a
n
B
eE
x
p
o
s
ed
ma
i
n
t
e
n
a
n
c
e
De
n
s
it
y
Su
b
C
l
a
s
s
to
t
a
l
O
f
W
a
t
e
r
Su
b
C
l
a
s
s
to
t
a
l
O
f
D
e
n
s
i
t
y
hu
m
i
di
t
y
Figure 2. Con
c
eptu
a
l mode
l of knowl
edg
e prod
uctio
n
manag
eme
n
t
Having
de
sig
ned the
con
c
eptual m
odel
is the
n
defin
e ea
ch
cla
ss in Proté
gé
sofware.
This ste
p
i
s
t
he
creation
o
f
kno
w
le
dge
-based
ont
olo
g
y hie
r
archy.
He
re'
s
a
pict
ure
with
protégé
cla
ss d
e
finitio
n
in Figure 3.
Desi
g
n KMS Bl
ue
p
rint
Mappi
ng t
h
e k
n
o
w
ledge
Sharing Kn
o
w
le
dge
We
b
s
it
e
(Know
ledge Manag
ement
Sy
stem)
Site
M
ap
Know
ledge
Share K
n
o
w
le
dge,
Sh
are
Article, S
hare
Docum
ent
C
odifi
ed
PHP programming
language, SP
ARQL
Ontolo
gy
,
p
roté
g
é
Kno
w
ledge Map
User interface
Know
ledge Base
Des
i
gn
Syn
t
ax&Role
Condition
Kno
w
le
dge desi
gn
Kno
w
le
dge c
odi
ficati
o
n
Explicit Kno
w
le
dge
Verif
y
an
d Valid
ation
K
M
-
S
y
st
em
correcti
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 25
02-4
752
IJEECS
Vol.
2, No. 3, Jun
e
2016 : 668
– 674
671
Figure 3. Cla
ss d
e
finition
s with the proté
g
é
Some rule
s o
f
the concept
ual model
ca
n be written in the triple m
odel. The trip
le model
is rel
a
tion
shi
p
of one
obj
ect to the ot
her o
b
je
c
t. The structu
r
e
of the triple
model
con
s
i
s
t of
subj
ect, predi
cate, an
d obj
ect. Obje
ct p
r
ope
rty is d
e
s
cribe
s
h
o
w
acce
ss to th
e pro
p
e
r
ty, the
followin
g
exa
m
ples
of the use of the n
a
m
e pro
p
e
r
ty on definin
g th
e relatio
n
ship
of disea
s
e a
n
d
symptom
s
are illustrated in Figure 4.
Figure 4. Defi
ning Obj
e
ct Prope
rtie
s
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IJEECS
ISSN:
2502-4
752
A Hype
rlin
k b
a
se
d Gra
phi
cal User Inte
rf
ace of KMS for Broile
r Pro
ductio
n
(Yu
s
ra Fern
and
o)
672
The next ste
p
is che
cke
d l
ogical co
nsi
s
t
ency. The
co
nsi
s
ten
c
y ca
n
be checke
d throu
gh
the rea
s
on
er.
Protege su
p
ports m
any reasone
rs.
thi
s
pap
er u
s
e
s
hernit as its reasone
r [16].
Rea
s
o
ner
ca
n be u
s
e
d
to
che
c
k the
consi
s
ten
c
y of
each pa
rt th
at has
bee
n
defined.
Re
sults
from Rea
s
on
er p
r
ovide inf
o
rmatio
n co
n
s
iste
ncy
of lo
gical a
nd the
relation
shi
p
betwe
en cl
ass,
sub
c
la
ss and
prop
ertie
s
in the form of a notice
con
s
i
s
tent or not, if the col
o
r bla
c
k, blue indi
cat
e
s
still consistent when
red m
eans has not
been
cons
i
s
tent. After
checki
ng th
e consistency of
the
entire inter-cl
a
ss logic
ch
art of the obtained
re
sult
s broiler p
r
od
uction ma
na
gement ontol
ogy
clo
s
ed
syste
m
in Figure 5.
Figure 5 Prod
uction Ma
nag
ement Ontolo
gy
To acce
ss the knowl
edg
e mana
gem
ent
databa
se mana
gem
ent broil
e
r p
r
odu
ctio
n
closed house system
of
Protégé
appli
c
ations
can use SPARQL
query language.
An exam
ple
of
SPARQL to
retrieve the i
n
format
ion about the di
seases of bro
iler
can be seen i
n
script
of
SPARQL (1).
1 PREFIX mp: <http://www.
sema
nticweb.
org/yusrafe
r
n
ando/
(1)
ontologies /
2014/7 / man
a
jemen
_
p
r
od
uksi #>
2 SELECT?
Broiler? IdDi
seases? Di
sea
s
e
s
? NameOf
Disea
s
e
3 WHE
R
E {
4 ?Dis
eas
e
s
rdf: type mp: Dis
e
as
es
.
5 ?Dis
eas
e
s
mp: IdDis
e
as
es
?IdDis
eas
es
.
6 ?Disea
se
s mp: Nam
e
OfDisea
s
e ?
Name
OfDi
se
ase.
7 ?Broiler rdf: type mp:
Broiler.
8 ?Broiler mp: Gro
w
thP
hase \"".$Broiler."\" ^^xsd:string.
9 ?Broiler mp: CanBeAf
f
ected?
Disea
s
e
s
.
10 }
The next ste
p
is Verify and
validate KM-System. Re
sults Verifi
cation and V
a
lida
t
ion KM-
System for te
sting the
syst
em wi
th two
of them, nam
ely: First, logi
cal te
st inclu
des te
sting t
h
e
syntax of the
prog
ram
KM-system
and t
he Codifica
tio
n
of tacit a
n
d
explicit kno
w
ledge. Se
con
d
,
use
r
a
c
cepta
n
ce te
sting i
s
testing the a
pplicati
on of
KM-System i
s
a bla
c
k box
[17] that can
b
e
perfo
rmed
b
y
a team co
nsi
s
ting of K
M
Sele
ction
of good
see
d
DO
C, Man
ageme
n
t fee
d
s,
encl
o
sure M
a
nagem
ent, Health Mana
ge
ment, System Maintenan
ce
, Harve
s
t.
The next
ste
p
is impl
eme
n
ting The K
M
-System
with de
signi
ng
use
r
inte
rfaces, writing
cod
e
, and te
sting of a syst
em that wa
s
develop
ed. T
he testing
pe
rformed
on ea
ch mo
dule. T
h
e
testing to
en
sure that
systems a
r
e
dev
elope
d in a
c
cordan
ce
wit
h
the mo
deli
ng results.
T
e
st
s
have be
en
d
one
with the
installatio
n
of the ap
p
lication on
the
serve
r
side,
and the
n
o
n
-line
system. Di
spl
a
y result
s fro
m
a prototyp
e implem
e
n
ta
tion of the system of sem
antic kno
w
le
dge
manag
eme
n
t web
s
ite m
a
nagem
ent b
r
oiler
pro
d
u
c
ti
on cl
osed
h
ouse sy
stem
is illu
strate
d
in
Figure 6.
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 25
02-4
752
IJEECS
Vol.
2, No. 3, Jun
e
2016 : 668
– 674
673
Figure 6. Use
r
Interface KM-System
5. Conclusio
n
The
use
of
semantic net
and
ontolo
g
i
e
s
ha
s b
een
demo
n
st
rate
d an
d impl
e
m
ented
to
develop a h
y
perlin
k-ba
se
d grap
hical use
r
inte
rfa
c
e for kno
w
le
dge man
age
ment system
of
broile
r produ
ction in a clo
s
ed ho
use sy
stem. KM-Sys
tem is built using multiple applications that
PHP Version 5 programmi
ng language
and databa
se SPARQL,
and use tools protégé version
4.3 editor. KM-System generates a
website
with
conceptual hy
perlink c
apability that all
o
ws
use
r
s to
sea
r
ch for
kno
w
le
dge broile
r pr
odu
ction with
a clo
s
ed
cag
e
system.
Knowle
dge
manag
eme
n
t system dev
elopme
n
t managem
ent cl
ose
d
broil
e
r
prod
uctio
n
hou
se
only
covers the
produ
ction
pro
c
e
s
s ha
s
not
bee
n di
scu
s
sed
ab
out b
u
s
ine
s
s a
n
aly
s
is,
feasibility analysis, post-har
vest marketing management. De
velopment of a knowledge
management system
can be devel
oped with
JAVA-based programming la
nguage (JE
N
A)
so
that the appli
c
ation
will be
mo
re inte
ra
ctive and ada
ptive.
Ackn
o
w
l
e
dg
ement
Authors woul
d like to exp
r
ess ou
r spe
c
i
a
l t
han
ks to t
he Di
re
ctorate Gen
e
ral
of High
er
Educatio
n (DGHE/DIKTI).
Referen
ces
[1]
Mul
y
a
n
tini, A.G
.
N. Produksi T
e
rnak U
ngg
as, Pener
bit IPB Press, Bogor, Indon
esia. 2
011.
[2]
W
ija
yant
o KA, Seminar BK,
Afnan R.
Visual-B
ased Stu
d
y O
f
Broiler Behav
ior In Cl
osed H
ous
e
.
Bogor (ID): Institut Pertania
n
Bogor. 20
12.
[3]
Arifin Z
M
, Seminar BK, Rud
i
Afnan Afna
n R.
Know
ledg
e
Base Dev
e
lo
p
m
e
n
t System
O
f
Cultivatio
n
Broiler C
l
os
ed
Hous
e
. Bogor (
I
D): Institut Pertania
n
Bog
o
r. 2012.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJEECS
ISSN:
2502-4
752
A Hype
rlin
k b
a
se
d Gra
phi
cal User Inte
rf
ace of KMS for Broile
r Pro
ductio
n
(Yu
s
ra Fern
and
o)
674
[4]
Poultr
y, Ind
o
n
e
sia Br
oil
e
r M
eat (Po
u
ltr
y
)
P
r
oducti
on
b
y
Y
ear [be
do
w
n
l
oad
ed
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no
pem
ber
201
3, 14:52] [http://
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w
w
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de
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i.com/agr
icultur
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n
t
r
y
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ommod
i
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iler
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udi
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w
a
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h
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li
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g
an
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i
nggi T
e
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ap Ko
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i
s
i
olo
g
is
Da
n
Produktiv
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tas Ayam B
u
ras.
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A
RT
AZ
OA,
F
a
kultas Petern
a
k
an IPB Bogor
,
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A
w
a
d
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o
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e Man
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w
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a
l R. Kno
w
l
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he Kno
w
l
e
d
ge Cre
a
ting C
o
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: Ho
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Ja
pa
n
e
se Com
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e
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y
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on. Oxfor
d
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ford Un
iv
ersit
y
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u
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ng
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P
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ort S
y
ste
m
and Intel
l
e
g
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y
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e
w
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y
: Pr
entic
e Halls. 2
0
0
7
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Masele
no A.
Hasa
n M. Md.
Poultr
y
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a
s
e
s W
a
rni
n
g
S
ystem usi
ng
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mpster-Shafer
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heor
y
an
d
W
eb Mapp
ing
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Internati
ona
l Jou
r
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n
c
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e
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uter Scie
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a
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ti Brune
i Daruss
al
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w
ol
o H, Am
osa B, F
a
le
ye
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es
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mputer T
e
chno
log
y
a
n
d
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di
n. Se
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e
w
a
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a
d
e
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brat
a. Sumi
ati.
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o N
o
mu
ra. A Sup
e
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or
y Co
ntro
l
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y
stem for T
e
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e a
n
d
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a
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d H
ous
e
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l for Bro
i
l
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uter Scie
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o N, Su
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ontro
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ose
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I
S.
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E
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urna
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ngi
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7
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a
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