TAP.COM - ANALISIS PERBANDINGAN METODE WEIGHTED PRODUCT (WP ... 73 143 1 SM
ANALISISPERBANDINGANMETODE WEIGHTEDPRGDUGTiWPDENGANMETODESIMPLEADDITIVEWEIGHTING(SAW DNTDKPENDUKUNGKEPUTUSANPEMILIHAN BIROPERJALANAN
PARIWISATA
ANALISIS PERBANDINGAN METODE WEIGHTED PRODUCT (WP)
DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK
PENDUKUNG KEPUTUSAN PEMILIHAN BIRO PERJALANAN
PARIWISATA
Ryzal Pradito, Yuliani Indrianingsih
Ju r u s a n T e k n i k I n f o r m a t i k a
S e k o l a h T i n g g i T e k n o l o g i A d i s u t ji p t o Y o g y a k a r t a
in f o r m a t i k a @ s tt a .a c .id
ABSTRACT
Decision Support System (DSS) is a system that helps managers to solve a semi-structured
problem. There are techniques used to make the DSS, one of them is Fuzzy Logic Multi Criteria
Decission Makaing (MCDM). Weigthed Product Method (WP) and Single Additive Weighting
Method (SAW) is a method to solve the problem using multiplication to connect the atribute ratings,
where rating attributes must be raised first with the weight relevant attributes weights. The
applications results show comparison WP methods and SAW methods is closer to the value 1, so that
the SAW method is the most appropriate method to solve the problem of the selection a trvel agency
tourism.
Keywords : SPK, SAW method, WP method
1.
Pendahuluan
P e n e n tu a n
u n tu k
p e m ilih a n
b ir o
p e r ja l a n a n
d ip ik ir k a n . B a n y a k a s p e k y a n g
te r h a d a p
bany ak
o ran g
seb ag ai
b is
p e r lu
p a r iw is a ta
m e m ilik i
d ip e r h itu n g k a n
p engguna
ja s a .
D a la m
bany ak
p e r tim b a n g a n
k a r e n a m e n y a n g k u t p e la y a n a n
m e n e n tu k a n
p ilih a n
te r k a d a n g
p e n g g u n a k e b i n g u n a n h a r u s m e n i l a i p e n y e d i a j a s a b i r o p e r ja l a n a n p a r i w i s a t a d a r i a s p e k a p a
s a ja , s t a n d a r p e n i l a i a n d a n k r i t e r i a y a n g t i d a k je l a s s e p e r t i i n i l a h y a n g a k a n m e m b i n g u n g k a n
p a r a p e n g g u n a ja s a t e r s e b u t .
O le h
system
k are n a
) y ang
M o d el y ang
itu
akan
p e rlu
d ib a n g u n
m e m b a n tu
d ig u n a k a n d a la m
Decision Making
(FM C D M ).
seb u ah
p e n e n tu a n
s is te m
s is te m
s ia p a
p end ukung
y an g
p e n d u k u n g k e p u tu s a n
H arap an n y a
p e n g a m b ila n k e p u tu s a n d a la m
akan
d i
d a p a tk a n
b ir o
u n tu k
(decision support
m e n d a p a tk a n
a d a la h
s is te m
b a n tu a n .
Fuzzy Criteria Attribute
U n tu k m e la k u k a n p e r h itu n g a n m e to d e F M C D M
p a d a m a s a la h
(Weigthed Product)d e n g a n
in i d ite n tu k a n d e n g a n m e m b a n d in g k a n m e to d e W P
(Simple Addtive Weighting).
la y a k
k e p u tu s a n
te r s e b u td a p a tm e m b a n tu
a ta u
m e to d e S A W
m em u d ahkan
h a l p e n e n t u a n p e m i l h a n b i r o p e r ja l a n a n p a r i w i s a t a . S e h i n g g a
p e r ja l a n a n
p a r iw i s a ta
y ang
p a lin g
la y a k
d an
m em enu hi
k r ite r ia
p e r ja l a n a n w i s a t a .
2.
METODOLOGI
2.1 Metode WP
M e t o d e weighted product
u n tu k m e n y e le s a ik a n
C O M P IL E R
m e ru p ak an
m a s a la h
s a la h
s a tu
m e to d e p e n y e le s a ia n
Multi Atribute Decission Making
y ang
d i ta w a r k a n
( M A D M ) . M e to d e W P
m ir ip
19
Ryzal Pradito, Yuliani indrianingsih
Weighted Sum
d e n g a n m e to d e
( W S ) , h a n y a s a ja m e t o d e W P t e r d a p a t p e r k a l i a n
p e r h itu n g a n
m a t e m a t i k n y a . M e t o d e W P ju g a d i s e b u t a n a l i s i s b e r d i m e n s i k a r e n a s t r u k t u r m a t e m a t i k a n y a
m e n g h ila n g k a n
s a tu
k e p u tu s a n
d i je l a s k a n
y ang
u k u ran .
M e to d e
d a la m
W P
b e b e ra p a
a d a la h
h im p u n a n
h a l k r ite r ia
b e rh in g g a
k e p u tu s a n .
d ari
Ja d i m e t o d e
a lte r n a tif
in i tid a k
p e rlu d i n o r m a lis a s ik a n .
a.
R u m u s m e la k u k a k n p e r b a ik a n b o b o t :
Wj
wj = —— ............................................................................................ ( Rumus 1)
Z
Ewj
i=l
b.
R u m u s p e r h itu n g a n v e k to r S :
n
Si =
Xi/wy ; dengan i = 1,2 ,. .., m ...........................................(Rumus 2)
7
=
1
2.2 Metode SAW
M e to d e
SA W
m e to d e S A W
s e r in g
ju g a
d ik e n a l is tila h
m e to d e
p e n ju m l a h a n
te r b o b o t.
K o n sep
a d a l a h m e n c a r i p e n ju m l a h a n t e r b o b o t d a r i r a t i n g k i n e r ja p a d a s e t i a p
p a d a s e m u a a tr ib u t. M e to d e S A W
d asar
a lte r n a tif
m e m b u tu h k a n p r o s e s n o r m a lis a s i m a tr ik s k e p u tu s a n (X ) k e
s u a tu s k a la y a n g d a p a t d ip e r b a n d in g k a n d e n g a n s e m u a r a ti n g a lte r n a tif y a n g a d a .
a.
R u m u s n o r m a lis a s i m a tr ik s
xj
Max xij
ji k a j a d a l a h a tr i b u t k e u n t u n g a n ( b e n e f i t)
~\j=
Min xij
,
. . . . . . .. . . . . . .. . . . .. . . . . . .. . . . .. ( r u m u s 3 )
ji k a j a d a l a h a tr i b u t b i a y a ( c o s t)
x iL
b.
R u m u s p e r h itu n g a n r a n g k in g
V i= E ” = i
Wjrij
. . . . . . .. . . . .. . . . . . .. . . . .. . . . . . .. . . . .. ( r u m u s 4 )
2.3 Perancangan Aplikasi
2.3.1
Diagram Konteks
P a d a d i a g r a m k o n t e k s y a n g d i t u n ju k k a n p a d a G a m b a r 1 a k a n m e n je l a s k a n e n t i t a s -
e n ti ta s
y ang
te r lib a t,
d an
a lir a n
k e s e lu r u h a n in p u t k e s is te m
d a ta
se c a ra
g a r is
b e s a r .S e h i n g g a
d a p a t d ilih a t se c a ra
a ta u o u tp u t d a r i s is te m . D e n g a n a d a n y a d ia g r a m k o n te k s in i
d p a t d i k e t a h u i u n t u k p e r a n c a n g a n p r o s e s s e l a n ju t n y a . U n t u k a p l i k a s i s i s t e m
k e p u tu s a n
d a la m
m e n e n tu k a n
p e m ilih a n
b iro
p e r ja l a n a n
p a r iw is a ta
p end ukung
in i y a n g
te r lib a t
d id a la m s is te m a d a la h u s e r a ta u p e n g g u n a p r o g r a m .
20
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4
ANALISIS PERBANDINGANMETODE WEIGHTEDPRBBUCT{WP) DENGANMETODESIMPIEABBITIVEWEIEHTINE(SAW DNTDKPENDUKUNGKEPUTUSANPEMILIHAN BIROPERJALANAN
PARIWISATA
G a m b a r 1 D ia g ra m
K o n t e k s S P K P e m i l i h a n B i r o P e r ja l a n a n P a r i w i s a t a
2.3.2 DFD Level 1
D ia g ra m
k o n te k s
y ang
in i m e r u p a k a n g a m b a r a n r in c i d a r i p ro s e s y a n g d il a k u k a n p a d a d ia g r a m
h an y a
m e n je l a s k a n
se c a ra
um um
p ro se s
y ang
d i k e r ja k a n
o le h
a p lik a s i.
P r o s e s te r s e b u t d ig a m b a r k a n s e p e r ti p a d a G a m b a r 2.
G am b ar 2 D A D Lev el 1
P a d a d ia g ra m
a lir d a ta le v e l 1 p a d a p r o s e s 1 .0 p e n g g u n a a ta u
k r ite r ia ,
p ad a
p ro se s
m e to d e
SAW,
d a ta
2 .0
p eng g una
y ang
te la h
m e la k u k a n
d im a s u k k a n
p ro se s
k e m u d ia n
user m
e m a s u k a n d a ta
n o r m a lis a s i d a ta
d is im p a n
u n tu k
p a d a s a a t p e n ila ia n p a d a p r o s e s 3 .0 d a n 4 .0 k e m u d ia n h a s il p e r h itu n g a n
k r ite r ia
u n tu k
d ip a n g g il la g i
d ib a n d in g k a n
u n tu k m e m p e r o l e h h a s i l a k h i r b e r u p a n i l a i d a n r a n k i n g p a d a p r o s e s k e 5 .0 .
2.3.4 Flowchart Sistem
D a la m
m em b ang u n
s is te m
b a g a im a n a p r o s e s d a ri s is te m
ag ar
m e n g u ra n g i k e s a la h a n
d ip e rlu k a n
f lo w c h a r t
u n tu k
m e lih a t
g a m b a ra n
i t u b e k e r ja d a r i a w a l h i n g g a s e l e s a i , h a l i n i d i m a k s u d k a n
y ang
t e r ja d i j i k a
tid a k
m e m ilik i
acu an
d a la m
ran can g an .
S i s t e m i n i j u g a m e m i l i k a l u r d a t a s e p e r t i y a n g d i t u n ju k k a n p a d a G a m b a r 3 .
C O M P IL E R
21
Ryzal Pradito. Yuliani Indrianingsih
^
S e le s a i
J )
G a m b a r 3 F lo w c h a r t S is te m
3.
Hasil dan Pembahasan
3.1 Penjelasan Aplikasi
P E R B A N D IN G A N
‘
B IR O W ISA T A A
___
__
SA W
SAW DAN W P
W P
C h art
P tty l a s a n S A W
P e g e tm n W P
T e c tm ;
D BM S
G a m b a r 4 M e n u U t a m a S P K P e m i l i h a n B i r o P e ja l a n a n P a r i w i s a t a
T a m p ila n
m e n ja l a n k a n
h a la m a n
a p lik a s i
p e rb a n d in g a n
d ii n g in k a n P a d a
y ang
in i.
Pad a
akan
h a la m a n
p e rb a n d in g a n y a n g
m enu
te la h
u ta m a
a d a la h
m enu
u ta m a
d ila k u k a n .
m enu
b ir o
ta m p i l a n
p engguna
S e te la h
w is a ta
p e r ta m a
d ila k u k a n p a d a h a la m a n
d im in ta
m e m ilih
a d a la h
p ad a
u n tu k
ju m l a h
k e l a n ju t a n
saat
p engguna
m e m ilih
b e ra p a
p e rb a n d in g a n
d ari
p ro se s
u t a m a . Ju m l a h w i s a t a y a n g
y an g
input
akan
d a ta
d in ila i
s e s u a i d e n g a n ju m l a h p e r b a n d i n g a n y a n g d i p i l i h .
22
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4
ANALISIS PERBANDINGANMETODE WEIGHTEDPRODUGT{WPDENGANMETODESIMPLEADDITIVEWEIGHTING(SAW) DNTDKPENDUKUNGKEPUTUSANPEMILIHAN BIROPERJALANAN
PARIWISATA
s
P E R B A N D IN G A N S A W DAN W P
V trn b d
' jJU t y
B IR O W ISA T A B
B IR O W ISA T A C
C l ( H o te l B m ta n g )
Bintang 3
C 2 ( B is- Se a t)
iPatas
-
C 3 (M ak an Sn ac k )
'|2* Makan
-
C 4 ( B ia y a )
Sedang
-
C S ( So u v e n i r )
Tidak
-
C 6 ( G a r a n s i)
Kurang
-
C 7 ( A s u r a n s i Ja s a R a h a rja .i
Balk
-
C 8 ( P e la y a n a n )
Sedang
-
C 9(T e sn m o m )
Sedang
B IR O W ISA T A D
B IR O W ISA T A E
SA W
W P
C hut
P m jd i u s SA W
P tq d u a i W P
T e n tin g
D BM S
h
K EM BA L !
G a m b a r 5 M e n u B i r o W i s a t a S P K P e m i l i h a n B i r o P e ja l a n a n P a r i w i s a t a
Pad a
h a la m a n
ta m p ila n
input-kan b e r d a s a r k a n
p e r h itu n g a n
m e to d e
m e n a m p ilk a n
d a ta - d a ta
y ang
te la h
d i-
k r i t e r i a n y a , l i h a t g a m b a r ó . P a d a h a l a m a n m e n u i n i m e n u n ju k a n h a s i l
p e r h itu n g a n p e r b a d in g a n m e to d e S A W
d e n g a n m e to d e W P , lih a t g a m b a r 7 .
P E R B A N D IN G A N SA W DAN W P
Variriiel
B I R O W IS A T A A
B IR O W ISA T A B
B IR O W ISA T A
C
B IR O W IS A T A D
B IR O W ISA T A
E
'JA'.T
WP
Clurt
P r a jtU a n S A W
P e n je l ts a n W P
T e n tm g
D BM S
HASIL ANALISA
BIRO WISATA A
0 .8 9 7
BIRO WISATA B
0 ,8 5 7
INPUT PERMANEN
HfTUNG
SAVE DATA
BIRO WISATA C
0 ,8 3 3
BIRO WISATA D
0 ,8 8 2
BIRO WISATA E
0 ,8 8 8
HASIL
0 ,8 9 7
G a m b a r ó M e n u P e r h i t u n g a n M e t o d e S P K P e m i l i h a n B i r o P e ja l a n a n P a r i w i s a t a
P E R
VnM
B
A N
D
I N
G
A N
S A W
D A N
BR0WISATAA BWWBATAB CTO* 3 ATA C BIROWISATA D BDtOTOATAE SAW * ? « Ï S 8
W
P
PrçfcuiTP
Tmtif
DBMS
Vf-
•-}
•
SAW
WP
.:e>3w mu 8|--------------0.857
-
0.897
0,232
^
W
0,882
'
-
-
— la jy jM u c I
(I.2S0
0232
0 ,8 :3
"
| e& o m H tj4 e a jw s ju B » B io V (iu u C
f.
0 .2 5 8
ia i'V K t a ii----
- - -- - -- f e s ü S H E l
&o \Wh u D«E*:>Wmu e |
|» 0 o \,« jtaA »E «oi,*aU0»9ic'F’iEjlaC
)>o rita n D|
Elo WutaD »Eto v.SataE|
BROMATAAMERUPWM« S . I. H W T ÎR nn G IW t« *T 00 £ S«V
BHO WSATAC UERUP*KA)IWISATAN W T R IM S DAIAMMETOK WP
P in jiani Bi an m trutm n u n n mwoe Saw wan ram H ta n u
1 silwtgga mum & w aaaiati m e» * un gcling Kcal irt i* nemelesaiian mauun un«ii p imanan oro ptf;alwan camuatí
G a m b a r 7 H a s il P e r b a d in g a n M e to d e S A W
d e n g a n M e to d e W P
3.2 Pembahasan
D a ri h a s il p e n g h itu n g a n
d ik e ta h u i
d an
d ilih a t
p ad a
m an u al d en g an
ta b e l
1
d an
m eng g u n akan
ta b e l
2.
m e to d e
Se d an g k an
h a s il
SA W
d an
W P
p e r h itu n g a n
d ap at
d en g an
m e n g g u n a k a n a p lik a s i y a n g d ib u a t d a n d ir a n c a n g d a p a t d ilih a t p a d a g a m b a r 8.
C O M P IL E R
2B
Ryzal Pradito. Yuliani Indrianingsih
T a b e l l P e r b a d in g a n H a s il P e r ih itu n g a n M e to d e S A W
N am a
N o
P e r h itu n g a n
P e r h itu n g a n
M anu al
S is te m
l
B iro W is a ta A
0 .S 9 7
0 .S 9 7
2
B iro W is a ta
0 .S S 2
0 .S S 2
3
B iro W is a ta B
0 .S 5 7
0 .S 5 7
4
B iro W is a ta
C
0 .S 3 4
0 .S 3 4
5
B iro W is a ta
D
0 .S 2 3
0 .S 2 3
E
T a b e l 2 P e r b a d in g a n H a s il P e r ih tu n g a n M e to d e W P
N am a
N o
P e r h itu n g a n
P e r h itu n g a n
M anu al
l
B iro W is a ta C
0 .2 S 0
0 .2 S 0
2
B iro W is a ta D
0 .2 5 S
0 .2 5 S
3
B iro W is a ta B
0 .2 3 2
0 .2 3 2
4
B iro W is a ta E
0 .2 3 2
0 .2 3 2
5
B iro W is a ta A
0 .2 3 0
0 .2 3 0
e
P E R B A N D IN G A N SA 'W
V ariabel
B IR O W ISA T A A
B IR O W ISA T A B
B IR O W ISA T A C
B IR O W ISA T A D
B IR O W TSA TA E
SA W
WT
C itu i
DAN W P
Penjelasan SA W
G a m b a r S H a s il P e r b a d in g a n M e to d e S A W
4.
S is te m
P e q e lasan W T
T en ían ?
D BM S
d e n g a n M e to d e W P
Penutup
4.1 Kesimpulan
K e s im p u la n y a n g d ip e r o le h d a r i p e n e litia n y a n g te la h d ila k u k a n a d a la h :
1.
S is te m
p end u kung
k e p u tu s a n
p e m ilih a n
b ir o
b a g i p a r a k o n s u m e n u n tu k p e m ilih a n b ir o
p e r ja l a n a n
p a r iw is a ta
m e ru p ak an
s o lu s i
p e r ja l a n a n p a r i w i s a t a s e s u a i d e n g a n y a n g d i
in g in k a n .
2.
M e to d e
Weighted Product
d ite r a p k a n
d a la m
p a r iw is a ta
d an
s is te m
(W P )
d an
M e to d e
p end u kung
m e n g h a s ilk a n
n ila i
Simple Additive Weighting
k e p u tu s a n
y ang
sam a
u n tu k
p e m ilih a n
a n ta r a
(SA W )d a p a t
b ir o
p e r h itu n g a n
p e r ja l a n a n
m an u al
d an
p e r h i tu n g a n s is te m .
3.
H a s il a k h ir p e r b a n d in g a n m e to d e W P d a n S A W
p a d a s is te m
b e ru p a p e ra n g k in g a n n ila i
te r ti n g g i k e n i l a i te r e n d a h . N il a i te r ti n g g i m e n e m p a ti p r i o r i ta s u ta m a u n tu k p e m il i h a n
b ir o
p e r ja l a n a n
p a r iw i s a ta .
H a s il
u r u ta n
p e ra n k in g a n
a n ta r
ked u a
m e to d e
te r k a d a n g
tid a k s e la lu s a m a .
24
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4
ANALISISPERBANDINGANMETODE WEIGHTEDPRODUCT[WP DENGANMETODESIMPLEADDITIVEWEIGHTING[SAW UNTUKPENDUKUNGKEPUTUSANPEMILIHAN BIROPERJALANAN
PARIWISATA
4.
P e r b e d a a n h a s i l u r u ta n p e r a n k i n g a n te r s e b u t k a r e n a m e to d e S A W
m e ru p a k a n b a g ia n
d a n m e to d e W P y a n g
d a r i m o d e l M C D M ,s e h in g g a m e n g a n d u n g u n s u r k e t i d a k p a s t i a n a ta u
k ab u r.
5.
P e r b a n d in g a n m e to d e W P
SA W
le b ih
d an
m e n d e k a ti n ila i l ,
m e to d e S A W
p a d a g r a f i k m e n u n ju k k a n
s e h in g g a m e to d e
SA W
a d a la h
m e to d e
b a h w a m e to d e
y an g
p a lin g
te p a t
u n t u k m e n y e l e s a i k a n m a s a l a h u n t u k p e m i l i h a n b i r o p e r ja l a n a n p a r i w i s a t a .
4.2 Saran
S a r a n u n t u k p e n e l i t i a n s e l a n ju t n y a b e r d a s a r k a n h a s i l p e n e l i t i a n i n i a d a l a h
1.
S is te m
p e rlu
d ib a n d in g k a n la g i m e n g g u n a k a n m e to d e p e r a n g k in g a n y a n g b e r b e d a p o la
a l g o r i t m a n y a s e h i n g g a d a p a t d i k e t a h u i k i n e r ja n y a .
2.
T a m p ila n
s e h in g g a
S is te m
a ta u
A n ta r m u k a
p ad a
admin d a n user t i d a k
in i
d ap at
s is te m
d ib u a t le b ih
m e n a r ik
la g i u n tu k
ked ep an ny a
m e r a s a je n u h d a l a m p e n g g u n a a n s i s t e m i n i .
d ik e m b a n g k a n
d en g an
platform
la in
b e rb a s is
smartphone
k h u su sn y a
Android.
Daftar Pustaka
Eko
Perancangan Sistem Pendukung
keputusan Untuk Pemasok Nata De Coco (Studi Kasus di CV. Agrindo Suprafood Yogyakarta) .
D ia n , C a h y o n o
IS S N
S ig it P r a m u d y o , A r y a W ir a b h u a n a . 2 0 1 2 ,
c e ta k : 2 3 0 2 - 6 9 1 X
Jo g i a n t o , H M . 2 0 0 5 ,
K u s rin i. 2 0 0 7 ,
Analisis dan Desain Sistem Informasi, Y o g y a k a r t a
: A n d i O ffse t
Konsep dan Aplikasi Sistem pendukung Keputusan, Y o g y a k a r t a
K u s u m a , D e w i. 2 0 0 ó ,
Fuzzy Multi-Attribute Decission Making,
: C V . A n d i O ffse t
Y o g y a k a r ta : G r a h a Ilm u
Penilaian Kinerja Karyawan Di IFUN Jaya Textile Dengan Metode
Fuzzy Simple Additive Weighted. Jurnal Ilmiah ICTech Vol.x, No.1, Ja n u a r i
M a u la n a , M u c h . R if q i. 2 0 1 2 ,
Decission Support System and Intelligent System
Pendukung Keputusan dan Sistem Cerdas). A n d i O f f s e t . Y o g y a k a r t a
T u r b a n , E , A r o n s o n J. E , d k k . 2 0 0 3 ,
(Sistem
S h o f w a t u l . 2 0 1 1 , A Fuzzy Topsis Multiple-Attribute Decision Making for Scholarship
Selection. Jurnal TELKOMNIKA, Vol.9, No.1, A p r i l , p p . 3 7 - 4 6 .
U yun,
C O M P IL E R
25
Ryzal Pradito. Vuliani Indrianingsih
26
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4
PARIWISATA
ANALISIS PERBANDINGAN METODE WEIGHTED PRODUCT (WP)
DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) UNTUK
PENDUKUNG KEPUTUSAN PEMILIHAN BIRO PERJALANAN
PARIWISATA
Ryzal Pradito, Yuliani Indrianingsih
Ju r u s a n T e k n i k I n f o r m a t i k a
S e k o l a h T i n g g i T e k n o l o g i A d i s u t ji p t o Y o g y a k a r t a
in f o r m a t i k a @ s tt a .a c .id
ABSTRACT
Decision Support System (DSS) is a system that helps managers to solve a semi-structured
problem. There are techniques used to make the DSS, one of them is Fuzzy Logic Multi Criteria
Decission Makaing (MCDM). Weigthed Product Method (WP) and Single Additive Weighting
Method (SAW) is a method to solve the problem using multiplication to connect the atribute ratings,
where rating attributes must be raised first with the weight relevant attributes weights. The
applications results show comparison WP methods and SAW methods is closer to the value 1, so that
the SAW method is the most appropriate method to solve the problem of the selection a trvel agency
tourism.
Keywords : SPK, SAW method, WP method
1.
Pendahuluan
P e n e n tu a n
u n tu k
p e m ilih a n
b ir o
p e r ja l a n a n
d ip ik ir k a n . B a n y a k a s p e k y a n g
te r h a d a p
bany ak
o ran g
seb ag ai
b is
p e r lu
p a r iw is a ta
m e m ilik i
d ip e r h itu n g k a n
p engguna
ja s a .
D a la m
bany ak
p e r tim b a n g a n
k a r e n a m e n y a n g k u t p e la y a n a n
m e n e n tu k a n
p ilih a n
te r k a d a n g
p e n g g u n a k e b i n g u n a n h a r u s m e n i l a i p e n y e d i a j a s a b i r o p e r ja l a n a n p a r i w i s a t a d a r i a s p e k a p a
s a ja , s t a n d a r p e n i l a i a n d a n k r i t e r i a y a n g t i d a k je l a s s e p e r t i i n i l a h y a n g a k a n m e m b i n g u n g k a n
p a r a p e n g g u n a ja s a t e r s e b u t .
O le h
system
k are n a
) y ang
M o d el y ang
itu
akan
p e rlu
d ib a n g u n
m e m b a n tu
d ig u n a k a n d a la m
Decision Making
(FM C D M ).
seb u ah
p e n e n tu a n
s is te m
s is te m
s ia p a
p end ukung
y an g
p e n d u k u n g k e p u tu s a n
H arap an n y a
p e n g a m b ila n k e p u tu s a n d a la m
akan
d i
d a p a tk a n
b ir o
u n tu k
(decision support
m e n d a p a tk a n
a d a la h
s is te m
b a n tu a n .
Fuzzy Criteria Attribute
U n tu k m e la k u k a n p e r h itu n g a n m e to d e F M C D M
p a d a m a s a la h
(Weigthed Product)d e n g a n
in i d ite n tu k a n d e n g a n m e m b a n d in g k a n m e to d e W P
(Simple Addtive Weighting).
la y a k
k e p u tu s a n
te r s e b u td a p a tm e m b a n tu
a ta u
m e to d e S A W
m em u d ahkan
h a l p e n e n t u a n p e m i l h a n b i r o p e r ja l a n a n p a r i w i s a t a . S e h i n g g a
p e r ja l a n a n
p a r iw i s a ta
y ang
p a lin g
la y a k
d an
m em enu hi
k r ite r ia
p e r ja l a n a n w i s a t a .
2.
METODOLOGI
2.1 Metode WP
M e t o d e weighted product
u n tu k m e n y e le s a ik a n
C O M P IL E R
m e ru p ak an
m a s a la h
s a la h
s a tu
m e to d e p e n y e le s a ia n
Multi Atribute Decission Making
y ang
d i ta w a r k a n
( M A D M ) . M e to d e W P
m ir ip
19
Ryzal Pradito, Yuliani indrianingsih
Weighted Sum
d e n g a n m e to d e
( W S ) , h a n y a s a ja m e t o d e W P t e r d a p a t p e r k a l i a n
p e r h itu n g a n
m a t e m a t i k n y a . M e t o d e W P ju g a d i s e b u t a n a l i s i s b e r d i m e n s i k a r e n a s t r u k t u r m a t e m a t i k a n y a
m e n g h ila n g k a n
s a tu
k e p u tu s a n
d i je l a s k a n
y ang
u k u ran .
M e to d e
d a la m
W P
b e b e ra p a
a d a la h
h im p u n a n
h a l k r ite r ia
b e rh in g g a
k e p u tu s a n .
d ari
Ja d i m e t o d e
a lte r n a tif
in i tid a k
p e rlu d i n o r m a lis a s ik a n .
a.
R u m u s m e la k u k a k n p e r b a ik a n b o b o t :
Wj
wj = —— ............................................................................................ ( Rumus 1)
Z
Ewj
i=l
b.
R u m u s p e r h itu n g a n v e k to r S :
n
Si =
Xi/wy ; dengan i = 1,2 ,. .., m ...........................................(Rumus 2)
7
=
1
2.2 Metode SAW
M e to d e
SA W
m e to d e S A W
s e r in g
ju g a
d ik e n a l is tila h
m e to d e
p e n ju m l a h a n
te r b o b o t.
K o n sep
a d a l a h m e n c a r i p e n ju m l a h a n t e r b o b o t d a r i r a t i n g k i n e r ja p a d a s e t i a p
p a d a s e m u a a tr ib u t. M e to d e S A W
d asar
a lte r n a tif
m e m b u tu h k a n p r o s e s n o r m a lis a s i m a tr ik s k e p u tu s a n (X ) k e
s u a tu s k a la y a n g d a p a t d ip e r b a n d in g k a n d e n g a n s e m u a r a ti n g a lte r n a tif y a n g a d a .
a.
R u m u s n o r m a lis a s i m a tr ik s
xj
Max xij
ji k a j a d a l a h a tr i b u t k e u n t u n g a n ( b e n e f i t)
~\j=
Min xij
,
. . . . . . .. . . . . . .. . . . .. . . . . . .. . . . .. ( r u m u s 3 )
ji k a j a d a l a h a tr i b u t b i a y a ( c o s t)
x iL
b.
R u m u s p e r h itu n g a n r a n g k in g
V i= E ” = i
Wjrij
. . . . . . .. . . . .. . . . . . .. . . . .. . . . . . .. . . . .. ( r u m u s 4 )
2.3 Perancangan Aplikasi
2.3.1
Diagram Konteks
P a d a d i a g r a m k o n t e k s y a n g d i t u n ju k k a n p a d a G a m b a r 1 a k a n m e n je l a s k a n e n t i t a s -
e n ti ta s
y ang
te r lib a t,
d an
a lir a n
k e s e lu r u h a n in p u t k e s is te m
d a ta
se c a ra
g a r is
b e s a r .S e h i n g g a
d a p a t d ilih a t se c a ra
a ta u o u tp u t d a r i s is te m . D e n g a n a d a n y a d ia g r a m k o n te k s in i
d p a t d i k e t a h u i u n t u k p e r a n c a n g a n p r o s e s s e l a n ju t n y a . U n t u k a p l i k a s i s i s t e m
k e p u tu s a n
d a la m
m e n e n tu k a n
p e m ilih a n
b iro
p e r ja l a n a n
p a r iw is a ta
p end ukung
in i y a n g
te r lib a t
d id a la m s is te m a d a la h u s e r a ta u p e n g g u n a p r o g r a m .
20
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4
ANALISIS PERBANDINGANMETODE WEIGHTEDPRBBUCT{WP) DENGANMETODESIMPIEABBITIVEWEIEHTINE(SAW DNTDKPENDUKUNGKEPUTUSANPEMILIHAN BIROPERJALANAN
PARIWISATA
G a m b a r 1 D ia g ra m
K o n t e k s S P K P e m i l i h a n B i r o P e r ja l a n a n P a r i w i s a t a
2.3.2 DFD Level 1
D ia g ra m
k o n te k s
y ang
in i m e r u p a k a n g a m b a r a n r in c i d a r i p ro s e s y a n g d il a k u k a n p a d a d ia g r a m
h an y a
m e n je l a s k a n
se c a ra
um um
p ro se s
y ang
d i k e r ja k a n
o le h
a p lik a s i.
P r o s e s te r s e b u t d ig a m b a r k a n s e p e r ti p a d a G a m b a r 2.
G am b ar 2 D A D Lev el 1
P a d a d ia g ra m
a lir d a ta le v e l 1 p a d a p r o s e s 1 .0 p e n g g u n a a ta u
k r ite r ia ,
p ad a
p ro se s
m e to d e
SAW,
d a ta
2 .0
p eng g una
y ang
te la h
m e la k u k a n
d im a s u k k a n
p ro se s
k e m u d ia n
user m
e m a s u k a n d a ta
n o r m a lis a s i d a ta
d is im p a n
u n tu k
p a d a s a a t p e n ila ia n p a d a p r o s e s 3 .0 d a n 4 .0 k e m u d ia n h a s il p e r h itu n g a n
k r ite r ia
u n tu k
d ip a n g g il la g i
d ib a n d in g k a n
u n tu k m e m p e r o l e h h a s i l a k h i r b e r u p a n i l a i d a n r a n k i n g p a d a p r o s e s k e 5 .0 .
2.3.4 Flowchart Sistem
D a la m
m em b ang u n
s is te m
b a g a im a n a p r o s e s d a ri s is te m
ag ar
m e n g u ra n g i k e s a la h a n
d ip e rlu k a n
f lo w c h a r t
u n tu k
m e lih a t
g a m b a ra n
i t u b e k e r ja d a r i a w a l h i n g g a s e l e s a i , h a l i n i d i m a k s u d k a n
y ang
t e r ja d i j i k a
tid a k
m e m ilik i
acu an
d a la m
ran can g an .
S i s t e m i n i j u g a m e m i l i k a l u r d a t a s e p e r t i y a n g d i t u n ju k k a n p a d a G a m b a r 3 .
C O M P IL E R
21
Ryzal Pradito. Yuliani Indrianingsih
^
S e le s a i
J )
G a m b a r 3 F lo w c h a r t S is te m
3.
Hasil dan Pembahasan
3.1 Penjelasan Aplikasi
P E R B A N D IN G A N
‘
B IR O W ISA T A A
___
__
SA W
SAW DAN W P
W P
C h art
P tty l a s a n S A W
P e g e tm n W P
T e c tm ;
D BM S
G a m b a r 4 M e n u U t a m a S P K P e m i l i h a n B i r o P e ja l a n a n P a r i w i s a t a
T a m p ila n
m e n ja l a n k a n
h a la m a n
a p lik a s i
p e rb a n d in g a n
d ii n g in k a n P a d a
y ang
in i.
Pad a
akan
h a la m a n
p e rb a n d in g a n y a n g
m enu
te la h
u ta m a
a d a la h
m enu
u ta m a
d ila k u k a n .
m enu
b ir o
ta m p i l a n
p engguna
S e te la h
w is a ta
p e r ta m a
d ila k u k a n p a d a h a la m a n
d im in ta
m e m ilih
a d a la h
p ad a
u n tu k
ju m l a h
k e l a n ju t a n
saat
p engguna
m e m ilih
b e ra p a
p e rb a n d in g a n
d ari
p ro se s
u t a m a . Ju m l a h w i s a t a y a n g
y an g
input
akan
d a ta
d in ila i
s e s u a i d e n g a n ju m l a h p e r b a n d i n g a n y a n g d i p i l i h .
22
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4
ANALISIS PERBANDINGANMETODE WEIGHTEDPRODUGT{WPDENGANMETODESIMPLEADDITIVEWEIGHTING(SAW) DNTDKPENDUKUNGKEPUTUSANPEMILIHAN BIROPERJALANAN
PARIWISATA
s
P E R B A N D IN G A N S A W DAN W P
V trn b d
' jJU t y
B IR O W ISA T A B
B IR O W ISA T A C
C l ( H o te l B m ta n g )
Bintang 3
C 2 ( B is- Se a t)
iPatas
-
C 3 (M ak an Sn ac k )
'|2* Makan
-
C 4 ( B ia y a )
Sedang
-
C S ( So u v e n i r )
Tidak
-
C 6 ( G a r a n s i)
Kurang
-
C 7 ( A s u r a n s i Ja s a R a h a rja .i
Balk
-
C 8 ( P e la y a n a n )
Sedang
-
C 9(T e sn m o m )
Sedang
B IR O W ISA T A D
B IR O W ISA T A E
SA W
W P
C hut
P m jd i u s SA W
P tq d u a i W P
T e n tin g
D BM S
h
K EM BA L !
G a m b a r 5 M e n u B i r o W i s a t a S P K P e m i l i h a n B i r o P e ja l a n a n P a r i w i s a t a
Pad a
h a la m a n
ta m p ila n
input-kan b e r d a s a r k a n
p e r h itu n g a n
m e to d e
m e n a m p ilk a n
d a ta - d a ta
y ang
te la h
d i-
k r i t e r i a n y a , l i h a t g a m b a r ó . P a d a h a l a m a n m e n u i n i m e n u n ju k a n h a s i l
p e r h itu n g a n p e r b a d in g a n m e to d e S A W
d e n g a n m e to d e W P , lih a t g a m b a r 7 .
P E R B A N D IN G A N SA W DAN W P
Variriiel
B I R O W IS A T A A
B IR O W ISA T A B
B IR O W ISA T A
C
B IR O W IS A T A D
B IR O W ISA T A
E
'JA'.T
WP
Clurt
P r a jtU a n S A W
P e n je l ts a n W P
T e n tm g
D BM S
HASIL ANALISA
BIRO WISATA A
0 .8 9 7
BIRO WISATA B
0 ,8 5 7
INPUT PERMANEN
HfTUNG
SAVE DATA
BIRO WISATA C
0 ,8 3 3
BIRO WISATA D
0 ,8 8 2
BIRO WISATA E
0 ,8 8 8
HASIL
0 ,8 9 7
G a m b a r ó M e n u P e r h i t u n g a n M e t o d e S P K P e m i l i h a n B i r o P e ja l a n a n P a r i w i s a t a
P E R
VnM
B
A N
D
I N
G
A N
S A W
D A N
BR0WISATAA BWWBATAB CTO* 3 ATA C BIROWISATA D BDtOTOATAE SAW * ? « Ï S 8
W
P
PrçfcuiTP
Tmtif
DBMS
Vf-
•-}
•
SAW
WP
.:e>3w mu 8|--------------0.857
-
0.897
0,232
^
W
0,882
'
-
-
— la jy jM u c I
(I.2S0
0232
0 ,8 :3
"
| e& o m H tj4 e a jw s ju B » B io V (iu u C
f.
0 .2 5 8
ia i'V K t a ii----
- - -- - -- f e s ü S H E l
&o \Wh u D«E*:>Wmu e |
|» 0 o \,« jtaA »E «oi,*aU0»9ic'F’iEjlaC
)>o rita n D|
Elo WutaD »Eto v.SataE|
BROMATAAMERUPWM« S . I. H W T ÎR nn G IW t« *T 00 £ S«V
BHO WSATAC UERUP*KA)IWISATAN W T R IM S DAIAMMETOK WP
P in jiani Bi an m trutm n u n n mwoe Saw wan ram H ta n u
1 silwtgga mum & w aaaiati m e» * un gcling Kcal irt i* nemelesaiian mauun un«ii p imanan oro ptf;alwan camuatí
G a m b a r 7 H a s il P e r b a d in g a n M e to d e S A W
d e n g a n M e to d e W P
3.2 Pembahasan
D a ri h a s il p e n g h itu n g a n
d ik e ta h u i
d an
d ilih a t
p ad a
m an u al d en g an
ta b e l
1
d an
m eng g u n akan
ta b e l
2.
m e to d e
Se d an g k an
h a s il
SA W
d an
W P
p e r h itu n g a n
d ap at
d en g an
m e n g g u n a k a n a p lik a s i y a n g d ib u a t d a n d ir a n c a n g d a p a t d ilih a t p a d a g a m b a r 8.
C O M P IL E R
2B
Ryzal Pradito. Yuliani Indrianingsih
T a b e l l P e r b a d in g a n H a s il P e r ih itu n g a n M e to d e S A W
N am a
N o
P e r h itu n g a n
P e r h itu n g a n
M anu al
S is te m
l
B iro W is a ta A
0 .S 9 7
0 .S 9 7
2
B iro W is a ta
0 .S S 2
0 .S S 2
3
B iro W is a ta B
0 .S 5 7
0 .S 5 7
4
B iro W is a ta
C
0 .S 3 4
0 .S 3 4
5
B iro W is a ta
D
0 .S 2 3
0 .S 2 3
E
T a b e l 2 P e r b a d in g a n H a s il P e r ih tu n g a n M e to d e W P
N am a
N o
P e r h itu n g a n
P e r h itu n g a n
M anu al
l
B iro W is a ta C
0 .2 S 0
0 .2 S 0
2
B iro W is a ta D
0 .2 5 S
0 .2 5 S
3
B iro W is a ta B
0 .2 3 2
0 .2 3 2
4
B iro W is a ta E
0 .2 3 2
0 .2 3 2
5
B iro W is a ta A
0 .2 3 0
0 .2 3 0
e
P E R B A N D IN G A N SA 'W
V ariabel
B IR O W ISA T A A
B IR O W ISA T A B
B IR O W ISA T A C
B IR O W ISA T A D
B IR O W TSA TA E
SA W
WT
C itu i
DAN W P
Penjelasan SA W
G a m b a r S H a s il P e r b a d in g a n M e to d e S A W
4.
S is te m
P e q e lasan W T
T en ían ?
D BM S
d e n g a n M e to d e W P
Penutup
4.1 Kesimpulan
K e s im p u la n y a n g d ip e r o le h d a r i p e n e litia n y a n g te la h d ila k u k a n a d a la h :
1.
S is te m
p end u kung
k e p u tu s a n
p e m ilih a n
b ir o
b a g i p a r a k o n s u m e n u n tu k p e m ilih a n b ir o
p e r ja l a n a n
p a r iw is a ta
m e ru p ak an
s o lu s i
p e r ja l a n a n p a r i w i s a t a s e s u a i d e n g a n y a n g d i
in g in k a n .
2.
M e to d e
Weighted Product
d ite r a p k a n
d a la m
p a r iw is a ta
d an
s is te m
(W P )
d an
M e to d e
p end u kung
m e n g h a s ilk a n
n ila i
Simple Additive Weighting
k e p u tu s a n
y ang
sam a
u n tu k
p e m ilih a n
a n ta r a
(SA W )d a p a t
b ir o
p e r h itu n g a n
p e r ja l a n a n
m an u al
d an
p e r h i tu n g a n s is te m .
3.
H a s il a k h ir p e r b a n d in g a n m e to d e W P d a n S A W
p a d a s is te m
b e ru p a p e ra n g k in g a n n ila i
te r ti n g g i k e n i l a i te r e n d a h . N il a i te r ti n g g i m e n e m p a ti p r i o r i ta s u ta m a u n tu k p e m il i h a n
b ir o
p e r ja l a n a n
p a r iw i s a ta .
H a s il
u r u ta n
p e ra n k in g a n
a n ta r
ked u a
m e to d e
te r k a d a n g
tid a k s e la lu s a m a .
24
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4
ANALISISPERBANDINGANMETODE WEIGHTEDPRODUCT[WP DENGANMETODESIMPLEADDITIVEWEIGHTING[SAW UNTUKPENDUKUNGKEPUTUSANPEMILIHAN BIROPERJALANAN
PARIWISATA
4.
P e r b e d a a n h a s i l u r u ta n p e r a n k i n g a n te r s e b u t k a r e n a m e to d e S A W
m e ru p a k a n b a g ia n
d a n m e to d e W P y a n g
d a r i m o d e l M C D M ,s e h in g g a m e n g a n d u n g u n s u r k e t i d a k p a s t i a n a ta u
k ab u r.
5.
P e r b a n d in g a n m e to d e W P
SA W
le b ih
d an
m e n d e k a ti n ila i l ,
m e to d e S A W
p a d a g r a f i k m e n u n ju k k a n
s e h in g g a m e to d e
SA W
a d a la h
m e to d e
b a h w a m e to d e
y an g
p a lin g
te p a t
u n t u k m e n y e l e s a i k a n m a s a l a h u n t u k p e m i l i h a n b i r o p e r ja l a n a n p a r i w i s a t a .
4.2 Saran
S a r a n u n t u k p e n e l i t i a n s e l a n ju t n y a b e r d a s a r k a n h a s i l p e n e l i t i a n i n i a d a l a h
1.
S is te m
p e rlu
d ib a n d in g k a n la g i m e n g g u n a k a n m e to d e p e r a n g k in g a n y a n g b e r b e d a p o la
a l g o r i t m a n y a s e h i n g g a d a p a t d i k e t a h u i k i n e r ja n y a .
2.
T a m p ila n
s e h in g g a
S is te m
a ta u
A n ta r m u k a
p ad a
admin d a n user t i d a k
in i
d ap at
s is te m
d ib u a t le b ih
m e n a r ik
la g i u n tu k
ked ep an ny a
m e r a s a je n u h d a l a m p e n g g u n a a n s i s t e m i n i .
d ik e m b a n g k a n
d en g an
platform
la in
b e rb a s is
smartphone
k h u su sn y a
Android.
Daftar Pustaka
Eko
Perancangan Sistem Pendukung
keputusan Untuk Pemasok Nata De Coco (Studi Kasus di CV. Agrindo Suprafood Yogyakarta) .
D ia n , C a h y o n o
IS S N
S ig it P r a m u d y o , A r y a W ir a b h u a n a . 2 0 1 2 ,
c e ta k : 2 3 0 2 - 6 9 1 X
Jo g i a n t o , H M . 2 0 0 5 ,
K u s rin i. 2 0 0 7 ,
Analisis dan Desain Sistem Informasi, Y o g y a k a r t a
: A n d i O ffse t
Konsep dan Aplikasi Sistem pendukung Keputusan, Y o g y a k a r t a
K u s u m a , D e w i. 2 0 0 ó ,
Fuzzy Multi-Attribute Decission Making,
: C V . A n d i O ffse t
Y o g y a k a r ta : G r a h a Ilm u
Penilaian Kinerja Karyawan Di IFUN Jaya Textile Dengan Metode
Fuzzy Simple Additive Weighted. Jurnal Ilmiah ICTech Vol.x, No.1, Ja n u a r i
M a u la n a , M u c h . R if q i. 2 0 1 2 ,
Decission Support System and Intelligent System
Pendukung Keputusan dan Sistem Cerdas). A n d i O f f s e t . Y o g y a k a r t a
T u r b a n , E , A r o n s o n J. E , d k k . 2 0 0 3 ,
(Sistem
S h o f w a t u l . 2 0 1 1 , A Fuzzy Topsis Multiple-Attribute Decision Making for Scholarship
Selection. Jurnal TELKOMNIKA, Vol.9, No.1, A p r i l , p p . 3 7 - 4 6 .
U yun,
C O M P IL E R
25
Ryzal Pradito. Vuliani Indrianingsih
26
V o lu m e 3 , N o m o r 2 , N o v e m b e r 2 0 1 4