TELKOM
NIKA
, Vol.11, No
.3, Septembe
r 2013, pp. 6
17~624
ISSN: 1693-6
930,
accredited
A
by DIKTI, De
cree No: 58/DIK
T
I/Kep/2013
DOI
:
10.12928/TELKOMNIKA.v11i3.1383
617
Re
cei
v
ed Ma
y 1, 2013; Re
vised July 2
5
, 2013; Accept
ed Augu
st 9, 2013
Utilization of Near Field Communication Technology for
Loyalty Management
Ferina Ferdi
a
nti, Yusuf T
r
iy
us
w
o
y
o
,
De
w
i
Agushi
nta R.
Informatics Department
Industria
l T
e
chnol
og
y F
a
cu
lt
y,
Gunadarm
a
U
n
iversit
y
Jala
n Margo
n
d
a
Ra
ya N
o
. 10
0, Depok 1
6
4
2
4
,
T
e
lp : (021) 788
81
112, F
a
x : (021) 787
282
9
e-mail: feri
nafe
r
dia
n
ti@stud
e
n
t.gunad
arma.a
c.id, ucupb
ara
@
stude
nt.gun
a
darma.ac.i
d
,
de
w
i
ar@staff.gunadarma.
a
c.id
Abs
t
rak
Near
F
i
el
d C
o
mmu
n
icati
o
n
(
N
F
C
) ad
al
ah s
a
la
h sat
u
tekn
olo
g
i
nirka
b
e
l
yang
dik
e
mb
a
ngka
n
s
aat
ini. Kit
a
d
apat
men
ggu
nak
a
n
p
onse
l
u
n
tu
k melak
u
ka
n
bany
ak trans
a
ksi de
ng
an
N
F
C. Perke
m
b
a
nga
n
Ponse
l
telah d
i
ciptaka
n
untuk
me
mb
erika
n
kemud
aha
n ba
g
i
pen
ggu
na d
a
l
a
m se
mua as
p
e
k. Namun, sa
at
ini f
ungs
i NF
C
ha
nya ter
bat
as u
n
tuk p
e
m
bayar
an
da
n
micr
opay
ment.
Sel
a
in
itu, te
rdap
at aset
yan
g
me
nd
ukun
g u
n
t
uk meni
ngk
atkan p
e
n
j
ua
la
n d
eng
an s
i
ste
m
ma
na
je
me
n
l
o
yalitas.
D
a
la
m sistem in
i,
disk
on
atau
had
ia
h ya
ng d
i
b
e
rika
n b
e
rdas
arkan
dat
a
min
i
ng
unt
uk
setiap
pe
la
ng
gan y
a
n
g
me
la
kukan tra
n
sak
s
i.
ma
na
je
me
n lo
yalitas in
i me
mi
liki tig
a
kons
ep, yaitu
freku
ensi, keki
nia
n
dan Qua
n
tity (F
RQ).
T
u
juan
dari
m
a
k
a
lah ini adalah untuk
m
e
m
i
nim
a
lkan biaya, proses pem
b
el
ian lebih cepat, dan
m
e
ngelola data y
ang
dip
e
rol
eh
me
la
lui tek
nol
og
i N
F
C lebi
h se
der
han
a. Hasi
l d
a
r
i riset in
i a
dal
ah pr
osed
ur b
e
rbas
is pa
da
d
a
ta
mi
nin
g
NF
C
untuk
ma
naj
e
m
e
n
l
o
yal
i
tas
dan
mer
anc
ang s
i
ste
m
meng
gu
naka
n
p
end
ekata
n
Ba
has
a
Mode
lin
g.
Ka
ta
k
unc
i
: Data Mini
ng, Ma
naj
e
m
en L
o
ya
li
tas, Micropay
ment, NF
C, Sma
r
tphon
e
A
b
st
r
a
ct
Near F
i
e
l
d C
o
mmu
n
icati
on (
N
F
C
) is on
e of
w
i
reless techn
o
lo
gy dev
elo
p
ed at this ti
me.
W
e
can
use a
mo
bi
le
pho
ne to d
o
ma
ny trans
acti
ons w
i
th
NF
C. Mobil
e
d
e
vel
o
pments h
a
ve
created to
pro
v
ide
conve
n
ie
nce fo
r users in a
ll as
pects. How
e
ve
r, at this
time t
he functi
on of
NF
C just li
mite
d for pay
me
nt an
d
micr
opay
ment.
Besi
de
it, there
are
asset
s
that su
pp
ort to i
n
creas
e
sales
w
i
th attentio
n of
loy
a
lity
ma
na
ge
me
nt system. In thi
s
system, disc
ounts or
pr
i
z
e
s
are giv
en
b
a
sed
on d
a
ta
mi
nin
g
for ev
er
y
transactio
n
cus
t
omers. T
h
is lo
ya
lty ma
na
ge
me
nt has three
concepts.
T
h
o
s
e are F
r
equ
e
n
cy, Recency
an
d
Quantity (F
RQ
). T
he g
o
a
l
s
are
mi
ni
mi
z
i
ng
the c
o
st,
maki
n
g
p
u
rch
a
se
pr
ocess faster,
a
nd
man
agi
ng
d
a
ta
obtai
ne
d throu
gh the NF
C te
chno
logy
mor
e
simp
le. T
he
result of this pa
per is the proc
edur
e to use d
a
ta
mi
nin
g
of NFC for loyalty man
age
ment an
d d
e
sig
n
in
g system usi
ng U
n
ifie
d Mode
lin
g La
ngu
ag
e appr
oa
ch.
Ke
y
w
ords
: Da
ta Minin
g
, Loya
l
ty Manag
e
m
e
n
t, Micropay
ment, NF
C, Sma
r
tphon
e
1. Introduc
tion
The devel
op
ment of tech
nology ha
s p
r
ovided
co
nvenien
ce in
al
l asp
e
ct
s. Ut
ilization
techn
o
logy d
e
velopme
n
ts and informa
t
ionsyste
m
s
can b
e
use
d
to perform
data pro
c
e
ssing
transactio
n
s
faster a
nd
easi
e
r for u
s
er. Seve
ral
mecha
n
ism
s
are
now
widely u
s
ed
to
transactio
n
s
inclu
de Internet Onlin
e Payment,
Smart Ca
rd
s, Radio F
r
eq
ue
ncy Identifica
t
ion
(RFI
D), and
Mobile Paym
ent, where a
serie
s
of mech
ani
sms d
e
sig
ned to facilitate use
r
s to
make tran
sa
ctions when
ever and
whe
r
e
v
er the use
r
i
s
located[10].
At the sho
ppi
ng cente
r
, the cu
stom
er
p
r
eviou
s
ly enjo
y
s the
conve
n
ien
c
e of a
credit ca
rd
transactio
n
.Howeve
r
,Ne
a
rField Commu
nicatio
n
(NF
C
) ha
s b
een
prese
n
t tran
sa
ction me
chani
sm
more
comfo
r
table by usi
n
g digital tech
nology on
smartph
one
s. NFC i
s
a sh
ort ran
ge wi
reless
techn
o
logy th
at is u
s
e
d
for data ex
cha
n
ge bet
wee
n
d
e
vice
s. With
NFC we
can
use
a m
obile
to
perfo
rm som
e
tran
sa
ction
s
. Ho
weve
r, the f
unctio
n
of NFC i
s
justlimited fo
r payment a
nd
micropayme
n
t, while in
th
e bu
sin
e
ss
worl
d i
s
al
wa
ys dynami
c
and
com
petitive enviro
n
m
ent.
Comp
anie
s
n
eed to
con
s
i
der it to exp
and th
eir bu
siness
scale
b
y
having
abili
ties to ta
ke
t
h
e
right deci
sion in determini
ng mark
eting strategies in
selling. One
thing whic
h hasto
consider is
loyalty management sy
ste
m
that related
to every cust
omer d
a
ta mining.
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 16
93-6
930
TELKOM
NIKA
Vol. 11, No. 3, September 20
13: 61
7 – 624
618
In developm
e
n
t of technol
ogy, the appl
icati
on of d
a
ta mining
has been
widely
use
d
to
recogni
ze the
compa
n
y's
custome
r
be
h
a
vior thro
ugh
the data coll
ection
comp
a
n
y need
s. Th
e
abun
dant of data that available and n
e
e
d
for info
rmat
ion ca
n use a
s
de
cisi
on su
pport to creat
e
busi
n
e
ss
sol
u
tions
with the infra
s
tru
c
t
u
re
supp
ort
in the field of informatio
n techn
o
logy
to
develop th
eir bu
sine
ss.
Discount
s o
r
prizes ar
e gi
ven ba
sed
o
n
ho
w often
cu
stome
r
b
u
y
prod
uct
s
and
how mu
ch of
the prod
uct p
u
rcha
se valu
e in the store
based on
system.
2. Rese
arch
Metho
d
The metho
d
use
d
is several stage
s of collectin
g litera
t
ure ab
out sm
art ca
rd, NF
C, RFID,
NFC
mobil
e
phones, Unifi
ed
Modeling Language
and data mi
ning.It will be m
ade a
general
desi
gn p
r
o
c
edures micropayment
system u
s
ing
NF
C techn
o
logie
s
, loya
lty manage
ment
appli
c
ation proce
dure, and
desi
gn
syst
em by using
use ca
se di
agra
m
s, cla
s
s diag
ram
s
a
nd
activity diagra
m
of the procedure used.
3.
Some tec
hnologies re
lated
This
se
ction will explain a
bout som
e
techn
o
logie
s
re
lated with the
desig
n.
3.1
NFC
(Near Fi
eld Commun
i
cation)
Nea
r
Field
Comm
uni
cati
on or
NF
C is a develo
p
m
ent of RFI
D
(Radi
o Freque
ncy
Identification
)
technol
ogy that use
s
ma
gnetic
field in
ductio
n
to enable commun
i
cation b
e
twe
e
n
electroni
c d
e
v
ices withi
n
cl
ose
proximity. NFC c
an
be
used to
exch
ange
data
at
a di
stan
ce of
10
cm at high fre
quen
cy whi
c
h
offers data transfe
r sp
eed
of 106 kbit/s,
212 kbit/s an
d 424 kbit/s.
NFC technol
ogy is a
co
mbination
be
tween
a
sm
artca
r
d
an
d
the re
ade
r,
gene
rally
implanted
wi
thin the pho
ne. With thi
s
technol
o
g
y, the transa
c
tion
su
ch
as p
a
yment
or
micropayme
n
t
tran
sa
ction
s
can
be
p
e
rform
e
d
in
stantly. NFC
techn
o
logy
h
a
s th
re
e ma
in
function
s:
1.
NFC i
s
a
b
le
to con
n
e
c
t with the ele
c
troni
c device
s
in
a pee
r-t
o-pe
er netwo
rk su
ch
a
s
wirel
e
ss he
ad
sets a
nd mob
ile phon
es.
2.
NFC i
s
able t
o
acce
ss di
gital conte
n
t.
3.
NFC
can be
used to perfor
m transactions
such as ti
cket paym
ent
, bill payment
and other
types of micropayment tra
n
sa
ction
s
.
The payme
nt transactio
n
s i
n
Figure 1 illustrate
sw
he
re NFC can cha
nge
the
paym
ent
transactio
n
pro
c
e
ss to b
e
conta
c
tle
s
s payment. The use
r
s ju
st hold the sm
a
r
tphon
e to an
NFC read
er
to
pay or buy in a distan
ce of
less than or e
qual to 10 cm
.
Figure 1. Architecture of NFC [1]
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
1693-6
930
Utilizatio
n of Nea
r
Field
Com
m
unication Tech
nolo
g
y for Loyalty M
anag
em
ent (Ferin
a Ferdia
nti)
619
Figure 1
de
scribe
s the
arch
itec
ture
of
NF
C te
chnol
ogy
usin
g 3
mod
e
switch
es.
T
he first
mode i
s
NF
C Card Emulat
ion Mod
e
, where th
e tech
nology ha
s b
een em
bed
e
d
an em
ulati
o
n
card for mo
bi
le device
s
. F
u
rthe
rmo
r
e, the device
is
con
n
e
c
ted to
other devi
c
e
s
with a Pe
er-to-
Peermo
de, a
nd then tran
saction p
r
o
c
e
s
sing i
s
perfo
rmed by usin
g
the Read
-Write mode.
3.2 Hand
pho
ne NF
C
Mobile
emb
edde
d NFC chi
p
will
p
r
odu
ce
interactive
servi
c
es
ea
sier a
nd mo
re
conve
n
ient to
use in
a
pay
ment tra
n
sact
ion p
r
o
c
e
ss.
NFC u
s
e
d
o
n
mobile
p
hon
es
ca
n tu
rn i
n
to
a means of
payment such as
cr
edit card transactions
. The mobile device has ability to store
accou
n
ts like
credit ca
rd n
u
mbe
r
, savin
g
s acco
unt n
u
mbe
r
and prepaid cards that will be used
in the payme
nt. With the
highly interactive mobile, use
r
s ca
n ea
sily mana
ge
appli
c
ation
s
an
d
manag
e users from a di
sta
n
ce[8].
3.3 Smart Ca
rd
Smart
card i
s
a
ca
rd
mad
e
of pl
asti
c m
a
terial
with i
n
tegrate
d
circui
t (IC). Sma
r
t
card i
s
comm
only u
s
ed a
s
a
cred
it ca
rd
and
a
SIM ca
rd
in
a m
obile
ph
one. Sma
r
t
card
ha
s
se
cu
re
stora
ge an
d not easily ch
ange
d, but the sub
s
e
quent
developme
n
t of the smart
card
will hav
e
microprocessor a
nd m
e
mo
ry to suppo
rt
data p
r
o
c
e
s
sing
and
dat
a sto
r
ag
e. It can
se
cu
re
d
a
ta
usin
g crypto
g
r
aphi
c o
r
se
curity algorith
m
s.
Smart card
s
have the
sam
e
si
ze
as
a credit ca
rd,
whi
c
h o
n
a
sm
art card can
st
ore
and
process information through the el
ectronic ci
rcuits
i
n
silicon grow
n
on the
surface of the
cont
act
type, or pla
n
ted in th
e card and
not visible from
the
outsid
e
for
non-co
ntact t
y
pe sm
art
ca
rd
s
(c
ontac
t
less
)[
9].
Smart ca
rd consi
s
ts of two kind
s: touch
and non
-to
u
ch
sma
r
t ca
rds. Ho
weve
r, NFC is
use
d
for non
-touch
sma
r
t card. This
ca
rd only nee
d brou
ght clo
s
e
r
to card rea
der to co
mpl
e
te
transactio
n
u
s
ing
RFID ind
u
ction te
chn
o
l
ogy.
3.4 Radio
-
Fr
equen
c
y
Identifica
tion (RFID)
Radi
o Fre
q
u
ency IDe
n
tification
(RFI
D) is u
s
ed to
descri
be vari
ous te
chn
o
lo
gies that
use
s
ra
dio waves to auto
m
atically iden
tify human
or obje
c
ts. RFID technolo
g
y concept is simi
lar
tothe bar cod
e
identificatio
n system
s co
nce
p
t as
we
see
n
in retail
store
s
every
day[3].RFID tag
con
s
i
s
ts of a silicon micro
c
hip and ante
nna. Some
of
the measu
r
e
s
RFI
D
tag can app
roa
c
h
the
size of small
rice g
r
ai
ns. T
he syste
m
id
entifi
ed radi
o
frequen
cy u
s
e tag
s
attached to the ob
ject
to be id
entifie
d. Two
-
way radio tran
smitter-re
ceiv
e
r
send
s a
sig
nal
to the tag
an
d then
rea
d
t
he
respon
se. G
e
nerally, reade
rs
sen
d
their
observati
on
s
to the com
put
er sy
stem
s ru
n the software
or RFI
D
s
o
ftware center[1].
Tag informati
on is
store
d
e
l
ectro
n
ically in
a non
-volati
l
e memo
ry. The RFI
D
tag i
n
clu
d
e
s
a ra
dio frequ
ency tran
smitter an
d receiver. RFID
rea
d
e
r
sen
d
s
a
co
ded
radi
o si
g
nal to
che
c
k t
he
tag.The tag receive
s
the messag
e and
informati
on resp
ond
s are identified. It
may just occur in
tag with
sp
e
c
ific
se
rial
n
u
mbe
r
, or pe
rhap
s to
a p
r
odu
ct
relate
d to info
rmat
ion
such a
s
the
numbe
r of sto
c
ks, batch nu
mber, p
r
odu
ction
date, or o
t
her sp
ecifi
c
informatio
n.
3.5 Data Mining
Data mi
ning
i
s
a
set of te
chniqu
es used
to
autom
atically explore t
horo
ughly
an
d bri
ng to
the forefront
of the com
p
l
e
x relation
shi
p
s in
ve
ry la
rge d
a
ta sets. The que
stio
nedd
ata set is
formed ta
bul
ated data
sets a
s
impl
emented
in
widely
relati
onal d
a
taba
se m
ana
ge
ment
techn
o
logy. The rol
e
of data mining
is to extrac
t
interestin
g (non-t
r
ivial, implicit, previ
ously
unkno
wn a
n
d
potentially u
s
eful) patte
rn
s o
r
kno
w
l
e
d
ge fro
m
la
rge
amou
nts
of
data, in
su
ch
a
way that they can be
put to use
in area
s
su
ch a
s
de
cisi
on su
ppo
rt, predi
ction
and
estimation[2].
D
ata mi
ning t
e
ch
niqu
es
ca
n also be
app
lied to othe
r d
a
ta re
pre
s
e
n
tations,
su
ch
a
s
spatial
data d
o
main,
text-b
ase
d
,
an
d
m
u
ltimedia (im
age
s). Data mining ca
n
al
so be define
d
a
s
"the modelin
g
and discove
r
y of hidden p
a
tterns
usin
g a large volu
m
e
of data" [4].
With the dat
aba
se in ap
p
r
op
riate qu
ali
t
y and size,
data mining t
e
ch
nolo
g
y ha
s so
me
following capabilities [4]:
1.
Automated p
r
edi
ction of trend
s an
d b
ehaviors: Da
ta mining au
tomates the
pro
c
e
ss of
finding predi
ctive informa
t
ion in a large dat
aba
se.
Questio
n
s t
hat traditiona
lly require
d
extensive ha
nds-on a
naly
s
is
can b
e
di
rectly answe
re
d from the da
ta now.
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ISSN: 16
93-6
930
TELKOM
NIKA
Vol. 11, No. 3, September 20
13: 61
7 – 624
620
2
.
Au
to
ma
te
d
d
i
s
c
o
v
e
r
y o
f
p
r
e
v
io
us
ly u
n
k
n
o
w
n
p
a
tte
r
n
s
:
D
a
ta
min
i
n
g
to
o
l
s
s
w
ee
p
th
r
o
ugh
databa
se
s an
d identify pre
v
iously hidd
e
n
pattern
s. A
n
example
of pattern di
scovery is the
analysi
s
of retail sale
s d
a
ta to identi
f
y seemingly
unrel
ated p
r
odu
cts th
at are often
purcha
s
e
d
together.
3.6 Lo
y
a
lt
y
Manag
e
ment
The co
ndition
of telecomm
unication
s industr
y bu
sin
e
ss
comp
etition intensifie
s and the
gro
w
ing exp
e
ctation
s
of cu
stome
r
s p
r
ompted co
m
pany to focu
s on efforts t
o
retain exist
i
ng
cu
stome
r
s. I
n
this case, a
comp
an
y need
s to
maintain
e
x
isting ma
rkets throug
h
the
developm
ent of custo
m
er l
o
yalty, to mai
n
tain bu
sine
ss and p
r
ofitab
ility.
Loyalty is the
amou
nt of co
nsum
ption
an
d
freq
uen
cy o
f
purcha
s
e
s
made
by a co
nsum
er
to a comp
an
y. Quality of marketing
co
nsi
s
ts
of sati
sfactio
n
, tru
s
t and
co
mmitment that h
a
s
a
positive relati
onship
with l
o
yalty. According to
Kotle
r
(2
003: 1
4
0
)
the relation
ship
betwee
n
s
a
tis
f
ac
tio
n
an
d
lo
ya
lty is
w
h
en
th
e
c
ons
u
m
er
r
e
ac
he
s
th
e h
i
gh
est le
ve
ls
o
f
s
a
tis
f
a
c
tion
le
ad to
stron
g
emotio
nal bon
ds a
n
d
long-te
rm commitment to
the brand
co
mpanie
s
.
Loyalty is ab
out the pe
rce
n
tage of pe
o
p
le
wh
o ha
s
boug
ht in a certain time
scale and
made repeat
purcha
s
e
s
from the first purcha
s
e.
Be
cau
s
e of the
importan
c
e
of loyalty to
the
survival of the comp
any, the co
m
pany
must co
ntinu
ously keep a
nd increa
se t
he loyalty of
its
cu
stome
r
s. T
herefo
r
e, to
build custom
er loya
lty, co
mpanie
s
ne
e
d
to have a good
relation
ship
w
i
th
th
e
cu
sto
m
e
r
s
s
o
tha
t
th
e
c
o
mpa
n
y
c
a
n
b
e
tte
r
u
n
d
e
r
s
t
a
n
d
th
e
i
r
n
e
e
d
s
,
d
e
s
ir
es
and
expectatio
n
s.
3.7 Unified
Modelling La
nguage
(UM
L
)
Unified Mo
de
ling Lang
uag
e or UML is
standard
visua
l
modeling la
ngua
ge
s that work in
obje
c
t oriente
d
to spe
c
ify, visuali
z
e, co
n
s
tr
u
c
t, and d
o
cum
ent the
element
s of the inform
atio
n
contai
ned in
softwa
r
e
system. UM
L
con
s
i
s
ts
of
diagram
s tha
t
describ
e th
e pro
b
lem
s
and
solutio
n
s of the p
r
obl
ems
with a
mod
e
l. The
diag
ram
are
commo
n
in the
mod
e
l
i
ng
with UML
,
su
ch a
s
Use ca
se
diag
ram, Activity
diagr
am,
Cl
a
ss diag
ram, Sequen
ce di
agra
m
,
Obje
ct
diagram, Co
llaboration d
i
agra
m
, Statech
a
rt di
ag
ram, Compo
nent diag
ra
m, Deploym
ent
diagram. We
use two types of diag
ra
m to descr
ib
e the operation of the
system that we have
desi
gne
d, the Use
Ca
se Di
agra
m
and
Cl
ass Dia
g
ra
m[5].
Use
ca
se
dia
g
ram
is a
dia
g
ram
that d
e
s
crib
e
s
the i
n
teractio
n
bet
wee
n
the
a
c
tors a
nd
the sy
stem.
Use
ca
se
dia
g
ram
de
scri
b
e
s
and
explai
ns
wh
at the
u
s
er n
eed
s.
Use
ca
se
expl
ains
"what" the
sy
stem
wo
rked,
not "h
ow" th
e sy
stem
wo
rk. Naming
th
e u
s
e
ca
se
s
typically u
s
e
a
ver
b
.
Cla
ss dia
g
ra
m descri
b
e
s
the type of objects in
the
system and a v
a
riety of relationship
s
betwe
en the
obje
c
ts. A
cla
s
s con
s
ists of
obje
c
ts
with the
s
a
me attributes
, operations
,
relation
shi
p
s
and
sem
antics. Attribute i
s
a p
r
op
er
ty o
f
an o
b
ject,
while
the
rel
a
tionship i
s
t
he
behavio
r of the obje
c
t. Class diag
ram
descri
b
e
s
th
e
state (attrib
utes) of a sy
stem and off
e
rs
servi
c
e
s
to manipul
ate the situation (met
hod)[6].
4. Results a
nd Analy
s
is
Steps of the desi
gn are as follows:
1.
Makin
g
a gen
eral de
sig
n
proce
dures
mi
cropaym
ent sy
stem u
s
ing NFC technolo
g
y
2.
Cre
a
ting Use
Ca
se Di
agra
m
s
3.
Cre
a
ting loyal
t
y manageme
n
t application
procedu
re
4.
Cre
a
ting Cl
ass Dia
g
ra
m to desi
gn data
mining sy
ste
m
che
c
ks loy
a
lty manage
ment
5.
Cre
a
ting Acti
vity Diagram to appli
c
ation
of data minin
g
and loyalty manag
eme
n
t.
4.1 Micropa
y
m
entProc
e
d
u
reusing
NF
C Tech
nolog
y
Procedu
re
s as nee
ded t
o
the Seller and the Custome
r
s ca
n use the
NFC in
Micropayme
n
t
as follows:
1.
Sellers and
custome
r
s alre
ady have the device to sup
port NF
C.
2.
Cu
stome
r
s m
u
st activate t
heir p
e
rson
al
ac
count via
sm
s or inte
rn
et before u
s
i
ng the NF
C
device.
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
1693-6
930
Utilizatio
n of Nea
r
Field
Com
m
unication Tech
nolo
g
y for Loyalty M
anag
em
ent (Ferin
a Ferdia
nti)
621
3.
Sellers al
so
n
eed to
registe
r
with te
chn
o
logy provide
r
s to be
abl
e to
use
NFC and
sh
ould
b
e
willing to pay
a transaction fee to the bank,
payment gateway, or NFC card i
s
suer.
4.
Previou
s
ly users n
eed to h
a
ve some m
o
ney
store
d
on
personal a
ccounts. Use
r
s
will also be
able to in
crea
sethei
r cash
via ATM, Internet, or M
-
Ba
nkin
g wh
en t
heir
ca
sh i
s
run out. Inthis
ca
se, coll
abo
ration of tech
nology provid
ers a
nd ba
nks is requi
red
and ne
ede
d to so
ciali
z
e.
5.
Whe
n
a u
s
er wants to m
a
ke a tra
n
sact
i
on, use
r
s just need to po
sition their ha
ndph
one in
the face of NFC re
ade
r th
at seller h
a
s,
at
a distance of 2-10
cm
for about 2
se
con
d
s a
nd
enter the
pin.
The tran
sa
ction info
rmatio
n will
be
sto
r
ed o
n
a
data
base a
nd th
e
user a
c
count
will be reduced.
6. Furthermore, the Seller
will provide a proof of tran
saction to the
customer.
4.2 Designin
g
Use
Case
Diagram
Figure 2sh
o
ws a micropay
ment system
operat
in
g wi
th the NFC tech
nolo
g
y using Use
Ca
se Di
agr
a
m
:
Figure 2. Use
Case Dia
g
ra
m - Micropay
ment System with NF
C technolo
g
y
Use ca
se in
Figure 2 illust
rates
ho
w the
NFC te
chn
o
l
ogy micropay
ment sy
stem
runni
ng. In u
s
e
ca
se diag
ra
m, there are
two actors:
Custom
er
and Seller.
The first thing to do iswhe
n
micropayme
n
t
transactio
n
s with
Nea
r
Fi
eld
Commu
ni
cation
techno
logy is
co
mm
itted, the seller
and the
cust
omer
provide
s
the
NF
C a
n
d
will
acti
vate
the a
c
count
and e
n
ter th
e
pin to
con
n
e
c
t
each oth
e
r in
a NFC devi
c
e
co
nne
ction.
After that, cu
stome
r
s a
r
e
a
s
ked to
b
r
ing
a ha
ndp
hon
e
to
a NF
C rea
d
e
r
. Furthe
rmo
r
e, a receipt will be prin
ted
and will b
e
gi
ven to the cu
stome
r
. Re
ce
ipt
is still given as proof of
payment provided in real.
4.3 Procedur
e to Apply
L
o
y
alt
y
Management
In applying l
o
yalty manag
ement by use NF
C
tech
n
o
logy,
there are some
p
r
oce
dures
requi
re
d with
focu
s
utilize
of data
mini
ng
con
c
e
p
ts
to
co
rpo
r
ate
sale
s.
Th
e concept
u
s
e
d
for
optimizin
g loyalty manage
ment is the concept of
Re
cen
c
y, Freq
u
ency, and Q
u
antity (RFQ
) [7].
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 16
93-6
930
TELKOM
NIKA
Vol. 11, No. 3, September 20
13: 61
7 – 624
622
This con
c
ept
is often
u
s
ed
as
a m
a
rketin
g st
rat
egy
to
increa
se sal
e
s.
RFQ co
ncept
definitio
n is
based on:
1.
Re
cen
c
y is th
e dimen
s
ion
of the use
r
to kno
w
when th
e last time a tran
sa
ction m
ade.
2.
Freq
uen
cy is the dimensi
o
n to determin
e
how
often
use
r
s p
e
rfo
r
m transactio
n
s
in a given
perio
d.
3.
Quantity is the dimen
s
ion
s
to determine
t
he numbe
r o
f
transa
c
tion
s made by cu
stomers.
In implementi
ng the con
c
e
p
t of data mining the
beh
avior of cu
stomers over ti
meis ne
ede
d
to
define. Thi
s
method i
s
very useful
whe
n
cu
st
ome
r
s have esta
blished a p
a
ttern
of behavior,
so
selle
r will kn
ow the favorite produ
ct and help
s
st
ore
s
to appl
y bonuse
s
o
r
discou
nts to
cu
stome
r
s. Some of the importa
nt fields in
the dat
aba
se that can be u
s
ed
for data mini
ng
p
r
oc
es
s
ar
e
as
fo
llo
ws
:
a)
Cu
stome
r
ID: indicate
s the
user's u
n
iqu
e
identity.
b)
Cu
stome
r
T
r
ansactio
n
Date an
d Ti
me
: sh
ows
the date
an
d time of
custome
r
transactio
n
s.
c)
Cu
stome
r
Transactio
n
Q
uantity: indi
cates no
mina
l custo
m
er
transactio
n
s done.
Tran
sa
ction
Store: sho
w
whe
r
e custo
m
ers co
ndu
ct
transa
c
tion
s.
d)
Produ
ct Boug
ht: indicate
s the
pro
d
u
c
t pu
rch
a
sed by custome
r
.
4.4
Designing S
y
stem Use Class Diagr
a
m
Figure 3sho
wsa cl
ass dia
g
ram of the design
data mini
ng syste
m
ch
ecks loyalty manag
eme
n
t:
Figure 3. Cla
ss di
agram -
Data minin
g
In figure
3, there
are thre
e cla
s
se
s: Custome
r
,
Pro
duct
a
nd Ca
shier.
Th
e Cu
stome
r
class has
attributes such a
s
cu
stome
r
ID and
pa
ssword o
w
n
ed
at the time
of
creating
an
accou
n
t at
NFC
sma
r
thph
one.
Prod
uct
cla
s
s ha
s attri
b
utes
su
ch
as pro
d
u
c
t id,
prod
uct
nam
e, pro
d
u
c
t price,
name
of the
sto
r
e
whe
r
e
the tra
n
sact
ion, t
he num
ber of
item
s
purch
ased,
the date
of t
he
transactio
n
, a
s
well a
s
Pro
duct cl
ass al
so has m
e
thod
s of update
(),
inse
rt
(), del
e
t
e() an
d view().
Last is the
ca
shie
r cla
s
s attribute
s
, has i
d
and pa
ssword che
c
kout ca
shie
r.
4.5
Designing S
y
stem Use Activ
i
t
y
Diagram
Activity Diagram in Figure
4 illustrates how
to start connection bet
ween the cashier and
system use Data
Mi
ning resultin
g
from the
NF
C te
ch
nology. Syste
m
will di
splay
the appli
c
ati
on
home
page to display the
form log-in, and then
the cashi
e
r will
fill-in
the requested data
on t
h
e
log-in
form
Data in th
e fo
rm of u
s
e
r
na
me an
d p
a
ssword. And
if the lo
g-in
is succe
ssful
the
n
th
e
system
will d
i
splay the PIN form filling.
The nex
t ca
shier
will begi
n pro
c
e
s
sing
the transacti
on
data of each customer based on the
RFQ meth
od, which
will be proces
sed in a database,
wheth
e
r th
e
micropayme
n
t
transactio
n
con
d
u
c
ted to
get di
scount
s o
r
gifts, if a
discou
nt pri
c
e,
the total payments will be reduced di
rectly in accordance
with a di
scount obtained.
After that the
cashier will print a receipt
of pay
ment, whi
c
h will be
given to the
Customer and retained by the
ca
shie
r as a f
o
rm of do
cum
entation in re
al.
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
1693-6
930
Utilizatio
n of Nea
r
Field
Com
m
unication Tech
nolo
g
y for Loyalty M
anag
em
ent (Ferin
a Ferdia
nti)
623
Figure 4. Activity diagram – System to apply Data Min
i
ng
Figure 5. Activity diagram –System to Apply Loyalty Manag
eme
n
t
Evaluation Warning : The document was created with Spire.PDF for Python.
ISSN: 16
93-6
930
TELKOM
NIKA
Vol. 11, No. 3, September 20
13: 61
7 – 624
624
Activity Diagram in Figu
re
5 illustrate
s
t
he appli
c
atio
n of loyalty
manag
eme
n
t system
involving cu
stomers,
Syst
em
an
d Cu
stomer. To
m
a
ke
a mi
cropa
yment tran
sa
ction,
cu
stom
er
must h
a
ve a
balan
ce
on
the NF
C
account. If the
cu
stome
r
wa
nts to in
crea
se th
e bal
an
ce,
cu
stome
r
ca
n
top-up in tha
t
store and
will be pro
c
e
s
sed by the system to the custome
r
to g
e
t
informatio
n a
bout ch
argin
g
her a
c
cou
n
t balan
ce
NFC succe
s
sfully. After th
at, micro
payment
transactio
n
p
r
ocess
ca
n b
e
ca
rri
ed
out
with t
he i
n
volvement of t
he r
ene
wal p
r
ocess datab
ase
that co
ntain
s
fields i
dentifie
d a
s
a
ben
ch
mark
in
loyalt
y manag
eme
n
t appli
c
ation
.
By lookin
g
at
the frequ
ent that cu
stome
r
s inten
s
ity micro
payme
nt
tran
sa
ction
s
i
n
the sto
r
e, so the sto
r
e
can
determi
ne pa
tterns of b
e
h
a
vior or
pro
d
u
ct to the
favorite cus
t
omer. Nex
t, the cashi
e
r o
r
sto
r
e
can
set p
o
licies to im
ple
m
ent loyalty manag
eme
n
t, as a
marke
t
ing tech
niqu
e. For the
n
e
xt
transactio
n
s
whe
n
Custo
m
er
purch
ase produ
cts i
n
sto
r
e, the
discou
nt o
r
gift informa
t
ion
obtained will be shi
pped to t
he NFC
customer and the pric
e
will be reduc
ed di
rectly.
5. Conclusio
n
The de
sig
n
o
f
loyalty manageme
n
t appl
ication
syste
m
use
d
thre
e
types of dia
g
ram
s
in
UML
mod
e
lin
g. The
r
e
are
two
acto
rs i
n
volved: cust
omer an
d
sel
l
er. Th
e
NF
C tech
nolo
g
y for
loyalty management is a
step in utilizi
ng of data
mining microp
a
y
ment transa
c
tion
s in ord
e
r to
provide
conv
enien
ce for t
he sell
er in i
m
plem
e
n
ting
the provi
s
ion
of bonuses
and di
scount
s to
kee
p
theirsto
re bu
sine
ss and profitabil
i
ty. T
he systems an
d proce
dures
in
this study are
expecte
d to pro
c
e
ss
pay
ment tran
sa
ctions do
ne
m
o
re q
u
ickly, easily an
d secu
rely. The
data
accuracy i
s
expecte
d in i
m
pleme
n
ting
loyalty man
ageme
n
t ba
sed on
utilizin
g data mi
nin
g
of
cu
stome
r
be
havior p
a
ttern towa
rd the
purcha
s
e of
prod
uct
s
everytime more
efficient. Th
is
prop
osed con
c
ept mu
st be
more expl
ore
d
.
Referen
ces
[1]
Adam, Ih
w
a
n
Ardisasmit
a, R. Yusep.
Ana
l
i
s
is da
n Pera
n
c
ang
an A
p
lik
a
s
i Mobi
le Me
ngg
un
aka
n
T
e
knol
ogi N
e
a
r
F
i
eld Co
mmunic
a
tion
. Jur
n
al Sarj
ana IT
B bida
ng T
e
kni
k
Elektro dan
Informatika.
201
2;1(2).1.
[2]
Adhi Bay
u
T
a
ma, F.
Rodiy
a
tu S., Hermansy
a
h
. An E
a
rl
y Detectio
n M
e
thod
of T
y
pe
-2 Dia
bete
s
Mellitus i
n
Pub
l
ic Hospit
al
. T
E
LKOMNIKA. Yog
y
ak
arta. 201
3;9. 287-2
94.
[3]
Evizal, A
b
d
u
l
T
.
Rahma
n
, K
a
mal
S. Ab
dul
Ra
him
. Active RFID Technology
for
Asset
Tracking an
d
Mana
ge
me
nt System
. T
E
LKOMNIKA. Yog
y
a
k
arta. 2013;
11.
137-1
46.
[4]
Febriani, A. De
w
i
R., R.
Isram, H. Hery
, Farhat.
T
o
w
a
rd
Ubiq
uito
us Co
mp
utin
g in In
d
ones
ia:Mob
il
e
Payment Syste
m
thro
ugh NF
C T
e
chno
logy
.
IJCNW
C. 2012
; 2(2). 249-25
4
.
[5]
F
.
F
e
rina, A. Lia, M. Param
i
tha.
Pera
ncan
gan S
i
ste
m
Peng
ecek
an Ke
aslia
n Ija
z
a
h
Berbas
is W
e
b
Den
gan Me
ng
gun
aka
n
UML
. Konfere
n
si Na
sion
al Sistem In
formasi 2
013.
Mataram. 201
3; 97.
[6]
F
.
F
e
rina, A. Lia, M.
Paramitha, C. Lulu Mun
ggar
an.
Pera
n
c
ang
an Siste
m
Informasi V
i
de
o Confer
enc
e
Untuk Men
duk
ung R
a
p
a
t
. Seminar Nas
i
o
nal
Dan Ekspo T
e
knik
Elektro 2
0
12. Medan. 2
0
13; 144-
14
9.
[7] Krisna
nda,
M
a
de.
Pe
ngg
un
a
an T
e
k
nol
ogi
Near F
i
eld
Co
mmu
n
icati
o
n
P
ada T
e
le
po
n
Selu
ler U
n
tuk
Micro Pay
m
e
n
t dan Loy
alty Mana
ge
me
nt
. Jurnal Informatik
a
. 2011; 7(
1). 27-37.
[8]
Mustafa Sarin
anto, Mohamm
ad da
n Pri
y
ast
a
, D
w
i
d
h
a
rma
dan Sar
o
tama,
Afrias dan Su
santi, Yanti.
Studi Me
ng
en
a
i
Imple
m
entas
i
Smart Car
d
P
ada Pr
ogr
a
m
Aplik
asi K
anta
y
a.
Semin
a
r Il
miah
Nasi
on
al
Komputer d
an
Sistem Intelij
en
. Depok. 20
02; 2. 47-55.
[9]
Ren
ga, Krisn
a
Buan
a.
Des
a
in E-T
o
l
l
d
e
nga
n Ne
ar F
i
eld C
o
mmu
n
i
c
ation (NF
C
)
T
e
chno
logy.
Konfere
n
si
dan
T
e
mu Nasion
al T
e
knolo
g
i In
formasi d
an K
o
munik
a
si (T
IK)
untuk In
don
esi
a
. Band
un
g
.
201
1; . 403-40
7.
[10]
S. Veronica M
oertin
i
. Data Mi
nin
g
seb
aga
i Solusi B
i
snis. Ba
ndu
ng. 20
02; 7
(
1). 44-56.
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