TELKOM
NIKA Indonesia
n
Journal of
Electrical En
gineering
Vol. 12, No. 12, Decembe
r
2014, pp. 83
4
9
~ 835
6
DOI: 10.115
9
1
/telkomni
ka.
v
12i12.68
42
8349
Re
cei
v
ed Se
ptem
ber 5, 2014; Re
vi
sed
Octob
e
r 14, 2
014; Accepte
d
No
vem
ber
12, 2014
Knowledge Management System for Zakat
Aulia Rahm
a
n
N*
1
, Irman Hermadi
2
, Wi
snu An
anta K
3
, Irfan Sy
a
uqi B
4
1,2,
3
Departeme
nt of Computer
Science, F
a
cu
lt
y
of Mathem
a
t
ics and Natur
a
l Scienc
e
4
Departem
ent of Islamic Econ
omics, F
a
cult
y
of
Economics,
Bogor Agr
i
cult
ural U
n
ivers
i
t
y
,
Bogor 1
6
6
80, Indo
nesi
a
, Kam
pus IPB Derma
ga,
Jl. Meranti,
W
i
ng 20 Lev
el
5-6, Bogor 1
6
680
T
e
lp./F
a
x.: +
62-251-
86
25
584
*Corres
p
o
ndi
n
g
author, e-ma
i
l
: auli
a
.rahma
n
.
nasutio
n1
2p@
apps.i
pb.ac.i
d
1
,
irmanh
erma
di
@ap
p
s.ipb.ac.i
d
2
, w
.
an
anta.k
u
suma@
g
ma
il.
com
3
, irfan_be
i
k
@ipb.
ac.id
4
A
b
st
r
a
ct
Z
a
kat is
on
e of
the Isl
a
mic
pi
ll
ars
that
has
strategic
co
ntribut
ion
to th
e soc
i
e
t
y. Z
a
kat is
on
e of th
e
Muslim
obligation.It is also
a f
o
rm of
social solidarity. Th
e collaborativeresearch co
nduct
ed
by Badan Am
il
Z
a
kat Nasi
ona
l
(BAZ
Nas) an
d
Institut Pertani
an Bo
gor
(IPB)
estimated th
e
potenti
a
l
of
z
a
kat coll
ection
i
n
Indon
esi
a
coul
d reach a
b
o
u
t Rp 21
7 trilli
on
every y
ear that
has not be
en
achi
eved yet. Rese
archers a
n
d
practitio
ners h
a
ve a
d
vise
d t
o
i
m
pl
e
m
e
n
t a Know
le
dg
e Mana
ge
me
nt System
(KMS) to
o
p
t
im
i
z
e the
collecti
o
n
a
n
d
BAZ
Nas
’
s
o
b
j
ectives. T
h
e
obj
ective
of th
is res
earch
is
to d
e
ve
lop
w
eb-base
d
Z
a
kat
Know
led
ge M
ana
ge
me
nt System (Z
KMS). T
he KM
S devel
op
me
nt method
ol
ogy is
done w
i
th u
s
i
n
g
Know
led
ge M
ana
ge
me
nt Sy
stem L
i
fe Cyc
l
e (KMS
LC).
Know
led
ge
ha
s bee
n capt
ur
ed fro
m
ex
pe
rts
consisti
ng of p
r
actition
ers an
d scie
n
tists from BAZ
Nas
of Bogor
City, mu
z
a
kki, d
o
cu
ments, books
a
n
d
jour
nals. Z
K
M
S
w
a
s deve
l
o
ped
usi
ng AS
P.NET
fr
amew
ork, C#
progr
amming
la
ng
u
age
an
d MyS
Q
L
database m
anagement
syst
em
. The system
has
m
e
nu that are us
er, z
a
k
a
t knowledge, questions
and
answ
e
rs w
i
th
experts, int
e
ra
ction b
e
tw
een
members,
ab
out us, pr
ofile
s and
know
le
dge s
ourc
e
s. T
h
i
s
system
is designed be
user
friendly to get, know, make, s
har
e, stor
e and
diss
em
inate actual
and
conte
m
p
o
rary of
z
a
k
a
t
know
ledg
e.
Ke
y
w
ords
:
badan am
il
z
a
k
a
t nasional (BA
Z
Nas), know
ledge
m
a
nagement system
life cycle (KMS
LC),
z
a
k
a
t knowledge managem
ent system
(ZKMS)
Copy
right
©
2014 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
One of Islami
c pillars that
has
strategic
cont
ri
bution t
o
society is the zakat. It is part of
impleme
n
tation of the M
u
slim obli
gatio
n and
also a
fo
rm of soci
al
solid
arity. Social
soli
darit
y in
so
cio-econo
mic re
alities
of so
ci
ety is the problem
o
f
poverty
that need
s attent
ion and
sol
u
tion
[1]. According to Badan Pusat Statisti
k (BPS) [2
] and
World Bank (World
Bank 2012), Indonesia
is one
of five poorest
cou
n
tries i
n
the Mu
slim
world. B
PS stated in
2012, nu
mbe
r
of poo
r peo
ple
in Indone
sia
rea
c
hed
29.
88 million
s
h
o
weve
r Worl
d Bank
state
d
much high
er num
ber t
hat
reached 102.45 millions.Concept
of people economi
c
empowerm
ent through
of implementi
n
g
za
kat in Isl
a
m is o
ne alt
e
rnative to
o
v
erco
me p
o
verty pro
b
lem.
One of p
e
o
p
le e
c
on
omi
c
empo
we
rmen
t
institutions has been ma
ndated
by
th
e La
w of Ind
one
sian
Rep
ublic
No. 23
of
2011 fo
r nati
onal
za
kat m
anag
ement i
s
Badan Amil
Zakat
Na
sion
al (BAZNas).
BAZNa
s (2
01
1)
has p
ublishe
d za
kat data,
donation, an
d alms that
collecte
d
from
all zakat o
r
g
anization
s on
ly
rea
c
he
d by Rp 1.73 trillion. Collabo
rativ
e
res
earch
condu
cted by BAZNa
s
and I
n
stitut Pertan
ian
Bogor (IPB)
e
s
timated
pote
n
tial of
za
kat
colle
ctio
n
in I
ndon
esi
a
cou
l
d re
ach a
bou
t Rp
217
trillio
n
every yea
r
. T
h
is
potential
need
s to
be
extracted
o
p
timally in
peop
le life e
nha
ncement [3]. M
any
resea
r
ch
sug
geste
d that
n
o
t achieved
zakat
pot
ential
ca
used
by lo
w p
ubli
c
a
w
a
r
ene
ss
of zakat
probl
em
s especi
a
lly actu
al and conte
m
porary [4].
In the end, the emph
asi
s
is awa
r
e
n
e
s
s of
peopl
e to give za
kat, dona
tion and alm
s
that it mu
st
be cultivated
and in
stilled in every Musli
m
[5].Knowledg
e Manag
em
ent System is a form o
f
information
combin
ation
,
interpretati
on,
reflectio
n
an
d
experie
nce o
f
a person o
r
an expe
rt that could d
o
cu
mented o
r
kn
owle
dge that
is
still in minds
of experts cal
l
ed implicit/tacit know
ledge. It
could be
distributed in
a contai
ner and
coul
d be a
c
cessed by all p
eople.
Re
sea
r
che
r
s
and p
r
a
c
titioners have a
d
v
ised to impl
ement a Kno
w
led
ge Man
a
gement
System (KM
S
) to optimize perfo
rman
ce and obj
ecti
ves of an org
anization [6]. The obje
c
tive
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 12, Decem
ber 20
14 : 8349 – 83
56
8350
KMS is to suppo
rt the creation, tra
n
sfer and
a
ppli
c
ation
of kn
owle
dge with
in
org
ani
zation
effectively and requi
re
s a l
o
t of literature [7]. Acco
rdi
ng to activity theory, KMS paradi
gm is
to
cre
a
te, sh
are
,
store an
d
dissemin
ate
kno
w
le
dge a
nd coll
abo
rat
e
with ea
ch
other [8]. The
expecte
d re
sult is to be a good le
arning sy
stem
.
In general, information
is define
d
from
terminol
ogy o
f
data, kno
w
ledge i
s
defin
ed from term
i
nology of info
rmation a
nd cultural (wi
s
do
m)
is define
d
fro
m
terminol
og
y of knowl
e
d
ge [9
].Knowl
edge
coul
d l
ead g
r
ad
ually use
r
s to g
e
t the
ultimate sol
u
tion [10].Expression a
nd repre
s
e
n
ta
tion
model of kn
owle
dge i
s
th
e most imp
o
rtant
stage to
influ
ence rea
s
oni
ng efficie
n
cy,
enri
c
hi
ng
kn
owle
dge
and
affect the int
e
lligen
ce l
e
ve
l of
the entire kno
w
led
ge [11].
Many system
s have be
en
built to supp
ort awar
e
n
e
s
s of za
kat th
at it aimed of getting
informatio
n zakat
relate
d
easily. On
e
system ha
s b
e
en built i
s
a
Web
-
Ba
sed
Zakat Info
rm
ation
System by Franci
s
ca Mei
sye Huseina (2006
). T
he a
d
vantage
s of a system cou
l
d display zakat
informatio
n
a
nd coul
d cal
c
ulate za
kat. The wea
k
n
e
ss of
a
syste
m
is only di
splay informati
on
but not b
e
a
kno
w
le
dge,
only one
-way intera
ct
ion
a
nd not i
n
volve expe
rts th
orou
ghly.Za
kat
servi
c
e
s
and
so
ciali
z
ation
activities are con
d
u
c
t
ed using old patterns. It is nece
s
sary innovat
ed
by usi
ng the
kno
w
le
dge
m
anag
ement
system an
d ut
ilize the
current technolo
g
y, so th
at a
n
y
data, informa
t
ion and kno
w
led
ge could
be pro
c
e
ssed accu
ratel
y
and quickl
y
acce
ssible
by
publi
c
e
s
p
e
ci
ally mu
za
kki.
The
form
ula
t
ion of
pro
b
le
m in thi
s
re
search
is la
ck of a
w
a
r
en
ess,
satisfa
c
tion a
nd muzakki trust. It is cau
s
ed the
la
ck
of knowl
edg
e
about za
kat. Therefo
r
e, we
have take
n a
con
c
e
p
t of KMS that it would be
cultiva
t
ed and b
e
in
stilled kno
w
le
dge, pa
radi
g
m
s
and
aware
n
e
s
s in
every
a Mu
slim. Th
e obj
ective
o
f
this resea
r
ch is to d
e
velop
web
-
ba
se
d
Zakat Kno
w
le
dge Man
age
ment System (ZKMS).
2. Res
earc
h
Method
Develo
pment
of ZKMS h
a
s
u
s
e
d
Kno
w
l
edge
Ma
n
a
g
e
ment Syste
m
Life
Cycle
[12] that
coul
d be see
n
in Figure 1.
The pha
se
s
are: eval
uate exis
ting infras
truc
ture, form the KM team,
kno
w
le
dge
capture,
de
sig
n
KMS blu
e
p
r
int, verify an
d validate th
e KM sy
stem
, implement
KM
sy
st
em a
nd t
e
st
ing K
M
sy
st
em.
Figure 1. KMSLC Devel
o
p
m
ent Phase
Existing infra
s
tru
c
ture ha
s been
evalu
a
ted
with
co
nsid
erin
g p
r
o
j
ect finan
ce,
huma
n
resou
r
ces a
n
d
ope
rational
con
s
trai
nts. Then
we
hav
e created a p
r
oje
c
t strate
g
y
that consi
s
t
ed
of a vision, reso
urce
s an
d
culture, in o
r
der to
com
p
l
e
te the p
r
oje
c
t as
qui
ckly
as p
o
ssibl
e
with
maximum p
r
o
f
its and
to u
s
e technol
ogy
that su
ppo
rts requi
rem
ents
of
KMS.
KM team
ha
s bee
n
formed
with identifying st
ake
hold
e
rs for optimi
z
ing
the formatio
n of teams that woul
d work
together to b
u
ild KMS fro
m
blue
print t
o
implem
enta
t
ion.
The
tea
m
's su
ccess has dep
end
e
d
on
ability
of
tea
m
memb
ers, team size, project com
p
le
xity, team leadership
an
d
motivation a
s
well
as not excee
d
time than realization of prom
i
s
e d
e
livered.Kn
owl
e
d
ge ha
s bee
n
captu
r
ed fro
m
kno
w
le
dge reso
urce
s,
kn
owle
dge sh
a
r
ing cultu
r
e,
identificatio
n of expli
c
it kno
w
le
dge
in a
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Knowle
dge M
anag
em
ent System
for Za
kat (Aulia Ra
h
m
an N)
8351
repo
sito
ry of variou
s me
dia with
study o
f
literature,
ca
pturing
of the
tacit kn
owl
e
d
ge from
expe
rts
with intervie
w and kno
w
l
edge representation.
Th
e resea
r
ch material ha
s used the e
x
pert
kno
w
le
dge b
a
se that con
s
ist
s
of pra
c
titioner
s a
n
d
scie
n
tists from BAZNa
s of Bogor City,
muza
kki, do
cuments,
boo
ks, jou
r
nal
s
of za
kat.
Kn
owledge
ha
s be
en captu
r
ed
from expert
s
i
n
orde
r to b
u
il
d a kno
w
led
ge ba
se. KM
S bluep
rint h
a
s b
een
de
si
gned
usi
ng
Unified M
ode
ling
Lang
uage
(UML
), Obje
ct Rel
a
tional
Mappin
g
(ORM
) an
d
Entity Relationship
Diag
ram
(ERD).Expert
s
h
a
s verifie
d
an
d valida
t
ed kno
w
ledg
e with
a
blu
eprint
de
sign
that ha
s
be
en
made. KM System has b
een implem
e
n
ted with
cre
a
ting a data
base, writing
prog
ram co
de,
interface-pag
es in sy
ste
m
and conv
erts
kno
w
led
ge into expli
c
it forms, in
cludi
ng of errors
rea
s
oni
ng, a
m
biguity, incompleten
e
ss and e
rro
r repre
s
e
n
tation
and u
s
e
r
training. KMS
has
been te
sted u
s
ing bl
ack bo
x where
syst
em is ru
n on
Googl
e Ch
ro
me or Mo
zilla
Firefox, MySQL
local
web
server and Mi
cro
s
oft Visual Studio 20
10.
Knowle
dge
Capture h
a
s d
o
ne with:
a) The
study of literature
Explicit
kno
w
ledge
ha
s be
en captu
r
e
d
fr
om
b
o
o
ks,
document
s, pape
rs,
proceedin
g
s
and jou
r
nal
s
sci
entific re
se
arch za
kat rel
a
ted. Ex
plicit kno
w
le
dge h
a
s be
en extracted in form
o
f
files that ha
s be
en
store
d
in the
dat
aba
se. Th
e
boo
ks
and j
ourn
a
ls have
been
ca
ptu
r
ed
kno
w
le
dge th
at are:
1.
Al-qur’
an Dan
Hadi
st.
2.
Fiqih 4 Ma
zh
ab - Syaikh A
l
-Allamah M
u
hamma
d Bin Abdulrrah
ma
ntahun 2
013
3.
20 F
a
twa
Pil
i
han S
eputa
r
Za
kat
- Al-I
mam ’Ab
dul
’Azi
z bi
n ’A
bdillah
bin
B
a
z
tahun2
007.
4.
Fiqih Za
kat-
Al-Qurdo
wi tahun 19
97
5.
Buku Pan
dua
n Zakat
Dom
pet Dhu
a
fa - Ahmad Hadi
Yasin tahu
n2
011
6.
Buku Tu
nai
ka
n za
kat - Ach
m
ad Mu
zam
m
il tahun20
0
3
.
7.
Kitab Zakat -
Syaikh Abdul
Aziz bin Ba
z tahun
2009
8.
Fact
o
r
s A
f
f
e
c
t
ing Zakat
P
a
ym
ent
Throu
gh I
n
st
itution
Of Am
il: Muzaki’
s
Perspe
ctives
Analysis
(Case Study Of Badan Amil Za
kat Na
sio
nal [BAZNa
s])e
ct.
b) Interview
The intervie
w ha
s bee
n con
d
u
c
ted to
captu
r
e
tacit
kno
w
led
ge that is in the
experts
minds. Expert
s
are
sele
cte
d
becau
se th
ey are inte
n
s
i
v
ely involved in resea
r
ch a
nd they have an
experie
nce of
the
za
kat
se
rvice
in In
don
esia. Ex
pe
rt name
i
s
Usta
dz Jej
en He
rmawa
n
H,
Sp
dI.
Re
sult of
the
intervie
w th
at ha
s
been
captu
r
ed
fro
m
their
kno
w
ledge
are th
e
one
s wh
o
could
receive za
kat
is poo
r person's, t
he p
oor catego
ry hav
e basi
c
ne
ed
s that must fu
lfilled every d
a
y
or every mon
t
h from Indon
esia
n so
ciety is Rp. 90
0.00
0, - according
to the number of eating 3
x
Rp.
1
0
.000, -
x
30
day
s. Grou
ps who
coul
d re
ceive
za
kat
are p
eople
who i
s
owed, a
n
d
ratio
both the d
ebt
and in
com
e
that makes t
hem eligi
b
le t
o
re
ceive
za
kat is ba
si
c ne
eds
more tha
n
their daily income by Rp. 5
0
.000, - and
others t
hat co
uldnot be
con
t
ained in this
pre
s
entatio
n.
3. Resul
t
s
and
Discus
s
ion
BAZNa
s ha
s tech
nolo
g
y infrast
r
u
c
ture
that be
ade
q
uate for sy
stem impl
eme
n
tation.
There ha
s
a
netwo
rk of co
mputers
a
nd i
n
ternet
ha
s in
tegrated,
a server
unit onli
ne 24
-h
our th
at
coul
d be
u
s
e
d
to ma
nag
e
kno
w
le
dge. S
e
rvers
have
use
d
Intel
Co
re i5,
3 GB
m
e
mory, 5
00
GB
Hard
Disk. It
also
ha
s MyS
Q
L a
nd XAM
PP. Micro
s
oft
Visual
Studi
o 20
10
and
Navicat Premiu
m
are in
stalle
d to develo
p
ZK
MS. Software
from Mi
cro
s
oft that has
b
een u
s
e
d
not
all lice
n
sed
or
still trial. Fina
nce for thi
s
p
r
oje
c
t has
re
ceived a
n
allocatio
n
of funds fro
m
the
financial
cen
t
er
BAZ itself every year. Hu
man re
so
urces al
so have
been a
c
com
m
odated
with
the informati
o
n
techn
o
logy
division. Admi
n
i
strato
r a
nd
expert
h
a
s b
een traine
d t
o
ru
n the
sy
stem. Th
en t
he
proje
c
t h
a
s created
a st
rat
egy that
con
s
ists
of a
visi
o
n
that em
pha
sizes the a
p
p
lication
of za
kat
kno
w
le
dge m
anag
ement,
kno
w
le
dge
source
s ha
s b
een
ta
ken fro
m
expert
s
. Culture i
s
in
stilled
into every administ
r
ator,
and sp
ecifi
c
a
lly for
experts to always
cre
a
te, sha
r
e
,
enhance a
n
d
maintain
za
kat kno
w
le
dg
e. KM team has
been
formed
wit
h
the sta
k
e
holde
r, expe
rts,
admini
s
trato
r
s and resea
r
cher an
d devel
oper a ZKMS
.
Tech
niqu
e to
rep
r
e
s
ent th
e kn
owl
edg
e
base into
a schem
a / dia
g
r
am i
s
o
ne of
its with
usin
g Kno
w
le
dge Ma
p [13]
in ord
e
r to g
e
t relation
shi
p
s / linkage
s
betwe
en the
data with oth
e
r
data. Knowle
dge ha
s bee
n taken fro
m
explicit kn
o
w
led
ge so
urces con
s
ist
s
o
f
Qur'an, Ha
dits,
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 12, Decem
ber 20
14 : 8349 – 83
56
8352
Shafi'i, Hana
fi, Hambali, Maliki bo
ok’
s
, docum
e
n
ts and journal
s za
kat rel
a
ted. The Impl
icit
kno
w
le
dge
a
nd the
kno
w
l
edge
sh
arin
g
cultu
r
e a
r
e g
o
tten from
practitione
rs an
d scienti
s
ts from
BAZNa
s an
d
muza
kki. Th
e
formul
ation
could b
e
se
e
n
as i
n
Fig
u
re
2. Knowl
edg
e
Map
of ZKMS
has eig
h
t sub
d
ivision
s
. Th
e first of the
s
e is the
intent
ions on
paym
ents. T
he
se
cond
of the
s
e
is
the term
s
of
obligation
wh
ere t
here a
r
e
six of te
rm
s
among
othe
rs i
s
i
s
lam, full
y-own
ed
(o
wned
perfe
ct),
al
re
ady
rea
c
hed
one nishab
a
nd rea
c
he
d o
ne yea
r
(Al-Hawl).
The
third of the
s
e
i
s
the
right gro
up a
c
cept where there a
r
e eight
of group am
o
ng others is f
a
kir a
nd miski
n
. The fourth is
the di
stributio
n of
za
kat. T
he fifth is th
e ha
ra
m
g
r
o
up a
c
cept
where
the
r
e
are fou
r
of
gro
up
among
othe
rs i
s
kafir
and
atheis. T
he
si
x is the
promi
s
e
of Allah fo
r them
that p
a
y of zakat. The
seven i
s
the
puni
shme
nt o
f
Allah for the
m
that not
pa
y of za
kat. Th
e last
sub
d
ivision i
s
the
ki
n
d
s
of zakat that has two kin
d
s
are fitrah a
nd maal
. Fitrah ha
s two subdivisi
ons t
hat are me
asure
and time of p
a
yment. Maal
has two sub
d
ivision
s
that
are inte
ntion
and ki
nd
s of
maal. The
kin
d
s
of maal zaka
t have seve
n
sub
d
ivision
s
.
The firs
t is t
he anim
a
l hu
sba
ndry that
are
cam
e
l, cow
and
buffalo /
she
ep. the
ne
xt subdivi
sion
are mini
ng
a
nd
seafo
od, t
r
ade,
gold,
sil
v
er a
nd
savin
g
,
enterp
r
i
s
e, in
come
and th
e last subdivi
sion i
s
the
a
g
riculture tha
t
are rain
wat
e
r, irri
gation
and
hybrid.
Figure 2. Knowled
ge Map
of ZKMS
Figure 4 Use
Case Dia
g
ra
m of ZKMS
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Knowle
dge M
anag
em
ent System
for Za
kat (Aulia Ra
h
m
an N)
8353
ZKMS is desi
gned with u
s
i
ng UML [14]. Use ca
se dia
g
ram could b
e
seen a
s
in Figure 4,
whi
c
h h
a
s fo
ur u
s
e
r
that
are
admin, e
x
pert, memb
er a
nd visito
r. Visitor
coul
d do
regi
strat
i
on,
read
kno
w
le
d
ge extend
s to use
ca
se
of read
kno
w
ledge det
ail, read
con
s
ult
a
tion extend
s
to
read
con
s
ulta
tion detail. M
e
mbe
r
read
knowl
edge
extend
s to
use
case
of read
knowl
edge
det
ail,
read
con
s
ulta
tion extends t
o
read
co
nsultation det
ail, cre
a
te a qu
estion that woul
d be an
swere
d
by an expe
rt, create
comment an
d
downl
oad
kno
w
le
dge
source. Expe
rt could
cre
a
te
kno
w
le
dge, a
n
swer
que
sti
on u
s
e
s
the
create q
u
e
s
ti
o
n
by memb
er or
cre
a
te em
ail by an a
d
m
i
n.
The
a
d
min could create knowl
edge,
create an
emai
l use
s
th
e
create qu
estio
n
by mem
b
e
r
if
que
stion no y
e
t answered
by an expert.
Cla
ss
Diag
ra
m of KMS illustrate
s the
system
st
ru
cture th
at is defined in t
e
rm
s of
cla
s
ses that
coul
d b
e
see
n
in
Figu
re
5. Cla
s
s
Regi
st
er
ha
s
seven
metho
d
s tha
t
are
pa
ge_l
o
ad,
btnDaftar_c
l
ick
,
validation, ASPxUploadC
ontol1_FileUploadComple
te1, saveFoto
and
btnSelesai_
C
lick, Cla
s
s Re
gisterdirect
s t
o
cl
ass Logi
n
whi
c
h
ha
s th
ree
attribute
t
hat a
r
e i
d
Use
r
,
use
r
na
me a
n
d
pa
sswo
rd
a
nd which h
a
s thre
e
metho
d
s that
are P
age_
Load,
btnLogi
n_Cli
ck
and
btnRe
g
iste
r_
Click.
Cla
s
s L
ogin
dire
cts t
o
cl
ass Ma
st
e
r
P
a
g
e
.
Clas
s
Ma
st
er
P
age
dir
e
ct
s t
o
cla
s
s
Default. Cla
s
s Default dire
cts to cla
ss
All K
nowledg
e. Class All Knowle
dge i
s
a generali
z
a
t
ion
from cla
s
s All Knowle
dge
Detail, All Knowle
dge A
dd,
All Knowled
ge Edit, All Knowl
edge
Del
e
te
and othe
r direction.
Figure 5. Cla
s
sDia
gra
m
of ZKMS
Obje
ct Relational M
appi
ng
(O
RM) [15] i
s
d
e
sig
ned
to
rep
r
e
s
ent th
e datab
ase relational
of data
sto
r
a
ge
with
obje
c
t form th
at
co
uld b
e
see
n
a
s
in
Fig
u
re 6.
Each u
s
e
r
attributes
uplo
ad
one o
r
mo
re
kno
w
le
dge
source attri
but
e; each kn
o
w
ledge
so
urce
attributes upl
oad by o
ne u
s
er
attribute. Each user attri
but
es h
a
ve one
or mo
re
inte
raction; e
a
ch i
n
tera
ction attributes
have o
ne
use
r
. Each u
s
er attribute
s
have on
e o
r
more
co
nsultation; ea
ch
consulta
tion at
tributes have
one
use
r
. Each
u
s
er
attribute
s
cre
a
te one
or mo
re
zaka
t attribute; each zakat attributes h
a
ve o
ne
use
r
. Ea
ch
zakat
attribute
s
ha
s
one
ma
al and
fitrah
a
ttribute. Fitra
h
attribute
ha
s two value
s
t
hat
are
mea
s
u
r
e
and tim
e
of
payment. M
aal attrib
ute
has intention
'
s
value
an
d
has one
ani
mal
husban
dry, mining and seafo
od,
tra
de,
gold, si
l
v
er
an
d savings, enterpri
s
e,
in
com
e
and
agri
c
ultu
re attribute.
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 12, Decem
ber 20
14 : 8349 – 83
56
8354
Figure 6. ORMof ZKMS
Figure 7. ERDof ZKMS
Datab
a
se is
desi
gne
d wit
h
usin
g the Entity Relation
ship
Diag
ram
(ERD) [16]. It has five
entities that
are: u
s
e
r
, kn
owle
dge
so
urce, kno
w
led
g
e
, discu
ssi
on
and inte
ra
ction an
d dial
o
gue
that coul
d be
see
n
in Fig
u
r
e 7. Ea
ch u
s
er attrib
utes t
hat ha
s idUser a
s
p
r
imary
key uplo
ad o
ne
or
mo
re kn
owledge so
urce attri
butes that
has codeSK
as p
r
ima
r
y ke
y and upl
oad
By = IdUse
r
a
s
foreign
key; e
a
ch
kno
w
le
d
ge so
urce att
r
ibute
s
uplo
a
d
by one an
d
only one u
s
e
r
attribute. Ea
c
h
use
r
attribute
s
h
a
ve
one
o
r
mo
re
inte
ra
ction th
at h
a
s Co
deIDD a
s
prim
ary
key
and
uplo
adB
y =
IdUser as foreign
key; e
a
ch interactio
n
attribut
es hav
e by o
ne
and
only o
ne
use
r
attrib
ute. Ea
ch
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Knowle
dge M
anag
em
ent System
for Za
kat (Aulia Ra
h
m
an N)
8355
use
r
attribute
s
have on
e o
r
more co
nsu
l
tation that has Co
deT
J a
s
prima
r
y key a
nd uplo
adBy =
IdUser as
foreign key;
ea
ch co
nsultati
on
attr
ib
utes
have by o
n
e
and
only o
n
e
u
s
er attrib
ute.
Each u
s
e
r
at
tributes
creat
e one o
r
mo
re zakat a
ttributes that h
a
ve Code
_K a
s
pri
m
ary
ke
y.
Each
za
kat a
ttributes
ha
s
kind
s of m
aal
and fitra
h
att
r
ibute. Fitrah
attribute h
a
s
two value
s
th
at
are m
e
a
s
u
r
e
and time
of
payment. M
aal attrib
ute
has i
n
tention
value a
nd h
a
s
kind
s
of
one
animal h
u
sba
ndry, minin
g
and
seafo
od,
trade, g
o
ld, silver and sa
vings,
ente
r
p
r
ise,
in
com
e
a
n
d
agri
c
ultu
re attribute.
Verificatio
n
a
nd validatio
n
of KMS ha
ve don
e with
intervie
ws a
nd di
scu
ssio
n
on
a
desi
gn blue
print with experts from BAZNas. Overall
d
e
sig
n
blue p
r
i
n
t is accorda
n
ce
with wh
at is
expecte
d on
stage
of the knowl
edge
ca
pturing, the
n
next stage i
s
KMS implem
entation p
r
o
c
ess
with us
ing ASP.NET (C#) to be c
o
nverted into a web.
Implementati
on of KM System ha
s the navi
gatio
n function
s
contai
ns all
con
c
e
p
ts
bluep
rint that
have bee
n d
e
sig
ned. Visit
o
rs
co
uld
d
o
regi
stratio
n
in
the regi
stration navigatio
n.
Login
navigat
ion i
s
p
e
rmi
s
sion
p
r
o
c
e
s
s for m
e
mb
ers, expert
s
a
n
d
admin.
Head
er
navigation
is
use
d
to search the kno
w
le
dge if put in a word
an
d wo
uld sea
r
ch for word
s listed
on the syste
m
.
Navigatio
n menu co
nsi
s
ts of menu of
kno
w
le
dge
zakat, co
nsultation with experts, inte
ra
ction
and dialo
gue
betwee
n
me
mbers, kn
owl
edge
sou
r
ce, profile, abou
t us and u
s
e
r
. Navigation
of
sub
-
me
nu
co
nsi
s
ts
of the
animal
h
u
sband
ry,
mini
ng a
nd
se
afood, trade,
gold, silver and
saving
s, ent
erp
r
ise, inco
me, agri
c
ultu
re. Cent
er
n
a
vigation co
ntains ban
ne
r
"wel
co
me to
ZKMS", introduce the KMS system an
d how m
ann
er to create
an acco
unt, top topic
with
a
que
stion a
nd
answe
r with
experts.
Navi
gation of foot
er
con
s
ist
s
of
the cate
go
ry za
kat, tools
and
sho
r
tcut of th
e system.
KM System has b
een te
sted with bla
c
k box
[17] on
each
of functions that ha
ve been
tested by the
examine
r
wh
om be
credibl
e with
runni
n
g
appli
c
ation
system
on
G
oogle Ch
rom
e
or
Mozilla Firefox, MySQL local
we
b serv
er and
Microsoft
Visual
St
udio 2010 which
has already
installe
d. Any function that is desi
g
n
ed on
the bl
uepri
n
t has
been te
sted
with bla
ck b
o
x.
Procedu
re
s perfo
rmed b
y
testing functional r
equi
rements a
nd
non-fu
nctio
n
a
l
requi
reme
n
t
s.
Specification
of testing i
s
: stat
us
of on
e (1
) for
su
cce
ssful te
stin
g and
statu
s
of zero (0) f
o
r
testing that di
d not work. Ul
timately testers hav
e
state
d
that each fu
ncti
on h
a
s ru
n su
ccessfull
y
.
Curre
n
t re
se
arch is fo
cu
sing
on the
developm
ent
KMS for zakat in BAZ
Na
s an
d
contin
uity of its pra
c
tices.
What was n
o
t being
mea
s
u
r
ed is, ho
w si
gnifica
nt pro
c
esse
s are b
e
i
ng
pra
c
tice
d; ho
w impl
ement
the con
c
ept
of sy
ste
m
m
anag
e chan
g
e
and
re
wa
rds
stru
ctu
r
e
and
how do to p
o
st-system e
v
aluation. It is hop
ed that
we coul
d further rel
a
te the existen
c
e with
signifi
can
c
e o
f
existence to
better und
erstand
the
cult
ure of kno
w
le
dge ma
nage
ment pro
c
e
sses
at BAZNas.B
y
doing so, we could fu
rther d
e
term
i
n
e whi
c
h p
r
o
c
ess nee
ds to
be improved
(if
any) o
r
p
r
o
c
ess the
admi
n
istrato
r
n
o
rmally pra
c
tice. The
re
sult
s of findi
ng
woul
d be
useful to
cultivate the knowl
edge
sh
ari
ng fo
r so
ci
ety among BAZNa
s.
4. Conclu
sion
The fo
rmul
ation of
proble
m
in thi
s
re
sea
r
ch
i
s
l
a
ck of
a
w
aren
ess, satisfa
c
t
i
on a
n
d
muza
kki tru
s
t
.
It is cau
s
e
d
the lack of
kno
w
led
ge
about
za
kat. Therefore,
we have taken
a
concept of
KMS that it would
be
cultivat
ed
and be instilled know
ledge, paradigm
s and
awa
r
en
ess in
every a Mu
slim. The o
b
j
e
ctive of
this researc
h
is
to
develop web-b
a
sed
Za
kat
Knowle
dge
Manag
eme
n
t System (ZK
M
S). The K
M
S develop
ment metho
d
o
logy is
don
e with
usin
g Knowl
e
dge Man
age
ment System Life Cy
cle (KMSLC).T
h
e
ZKMS
was develop
ed using
ASP.NET framework, C#
program
m
ing langu
age and MySQL dat
abase
management system.
The syste
m
has me
nu th
at are user, za
kat kn
owle
dge, que
stio
ns and a
n
swers
with exp
e
rts,
intera
ction b
e
twee
n mem
bers, about
us, profile
s
and kno
w
led
ge so
urce
s. This
system
is
desi
gne
d b
e
user frien
d
l
y
to get,
kn
ow, m
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