I
nd
o
ne
s
ia
n J
o
urna
l o
f
E
lect
rica
l En
g
ineering
a
nd
Co
m
pu
t
er
Science
Vo
l.
25
,
No
.
3
,
Ma
r
ch
2
0
2
2
,
p
p
.
1
7
2
3
~
1
7
3
0
I
SS
N:
2
5
0
2
-
4
7
5
2
,
DOI
:
1
0
.
1
1
5
9
1
/ijeecs.v
25
.i
3
.
p
p
1
7
2
3
-
1
7
3
0
1723
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
ee
cs.ia
esco
r
e.
co
m
Inv
esting
in
M
a
la
y
sia
n
hea
lthcare
using
techni
que
f
o
r order
prefer
e
nce
by
sim
ila
rity to idea
l so
l
ution
F
a
ra
h Wa
heeda
Azha
r
1
,
Z
a
t
i H
a
lwa
ni Abd Ra
him
1
,
No
ra
s
y
ik
in Abdu
lla
h F
a
ha
m
i
2
,
Siti
K
ha
t
ij
a
h No
r
Abdu
l R
a
him
3
,
H
ilwa
na
Abd K
a
rim
4
1
D
e
p
a
r
t
me
n
t
o
f
M
a
t
h
e
m
a
t
i
c
s
,
F
a
c
u
l
t
y
o
f
C
o
m
p
u
t
e
r
a
n
d
M
a
t
h
e
m
a
t
i
c
a
l
S
c
i
e
n
c
e
s,
U
n
i
v
e
r
si
t
i
T
e
k
n
o
l
o
g
i
M
A
R
A
,
P
e
r
a
k
,
M
a
l
a
y
s
i
a
2
D
e
p
a
r
t
me
n
t
o
f
B
u
si
n
e
ss
M
a
n
a
g
e
m
e
n
t
,
F
a
c
u
l
t
y
o
f
B
u
si
n
e
ss
a
n
d
M
a
n
a
g
e
me
n
t
,
U
n
i
v
e
r
si
t
i
Te
k
n
o
l
o
g
i
M
A
R
A
,
P
e
r
a
k
,
M
a
l
a
y
s
i
a
3
D
e
p
a
r
t
me
n
t
o
f
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
F
a
c
u
l
t
y
o
f
C
o
m
p
u
t
e
r
a
n
d
M
a
t
h
e
m
a
t
i
c
a
l
S
c
i
e
n
c
e
s,
U
n
i
v
e
r
s
i
t
i
T
e
k
n
o
l
o
g
i
M
A
R
A
,
S
e
l
a
n
g
o
r
,
M
a
l
a
y
si
a
4
D
e
p
a
r
t
me
n
t
o
f
B
u
si
n
e
ss
M
a
n
a
g
e
m
e
n
t
,
F
a
c
u
l
t
y
o
f
B
u
si
n
e
ss
a
n
d
M
a
n
a
g
e
me
n
t
,
U
n
i
v
e
r
si
t
i
Te
k
n
o
l
o
g
i
M
A
R
A
,
N
e
g
e
r
i
S
e
m
b
i
l
a
n
,
M
a
l
a
y
si
a
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
J
u
l
10
,
2
0
2
1
R
ev
is
ed
Dec
13
,
2
0
2
1
Acc
ep
ted
J
an
11
,
2
0
2
2
Th
e
p
u
r
p
o
se
o
f
th
is
re
se
a
rc
h
i
s
to
a
ss
e
ss
th
e
fi
n
a
n
c
ial
p
e
rfo
r
m
a
n
c
e
o
f
M
a
lay
sia
n
He
a
lt
h
c
a
re
c
o
m
p
a
n
ie
s
u
sin
g
t
h
e
m
u
lt
i
-
c
rit
e
ria
a
n
d
d
e
c
isio
n
-
m
a
k
in
g
m
e
th
o
d
,
n
a
m
e
ly
tec
h
n
i
q
u
e
fo
r
o
r
d
e
r
p
re
fe
re
n
c
e
b
y
sim
il
a
ri
ty
t
o
i
d
e
a
l
so
lu
ti
o
n
(TOP
S
IS
).
T
h
e
fin
a
n
c
ial
d
a
ta
o
f
2
0
c
o
m
p
a
n
ies
i
n
2
0
1
9
a
re
re
tri
e
v
e
d
fro
m
Da
ta
s
trea
m
.
F
o
r
m
a
n
y
y
e
a
rs,
ra
ti
o
s
o
f
fin
a
n
c
ial
a
sp
e
c
ts
h
a
v
e
b
e
e
n
e
m
p
lo
y
e
d
to
a
n
a
ly
se
t
h
e
c
o
m
p
a
n
i
e
s’
fin
a
n
c
ial
p
e
rfo
rm
a
n
c
e
.
Ho
we
v
e
r,
so
m
e
stu
d
ies
i
n
d
ica
te
th
a
t
th
e
trad
it
i
o
n
a
l
ra
ti
o
a
n
a
ly
sis
is
i
n
su
fficie
n
t
t
o
m
e
a
su
re
a
firm'
s
fin
a
n
c
ial
p
e
rfo
rm
a
n
c
e
.
Th
u
s,
th
is
p
a
p
e
r
e
m
p
lo
y
s
th
e
tec
h
n
iq
u
e
fo
r
o
rd
e
r
p
re
fe
re
n
c
e
b
y
sim
il
a
rit
y
to
id
e
a
l
so
l
u
ti
o
n
,
o
r
sim
p
ly
TOP
S
I
S
,
to
g
a
i
n
a
m
o
re
c
o
m
p
re
h
e
n
siv
e
re
su
lt
.
Th
e
TOP
S
IS
a
p
p
ro
a
c
h
i
n
v
o
lv
e
s
se
v
e
n
ste
p
s,
u
ti
li
z
i
n
g
si
g
n
ifi
c
a
n
t
ra
ti
o
s
i
n
fi
n
a
n
c
ial
a
sp
e
c
t
su
c
h
a
s
d
e
b
t
ra
ti
o
,
d
e
b
t
t
o
e
q
u
it
y
ra
ti
o
,
c
u
rre
n
t
ra
ti
o
,
re
tu
r
n
o
n
e
q
u
it
y
(ROE),
a
c
id
-
tes
t
ra
ti
o
,
e
a
rn
in
g
s
p
e
r
sh
a
re
(EP
S
),
a
n
d
re
tu
r
n
o
n
a
ss
e
t
(ROA
),
a
s
th
e
c
rit
e
ria
to
e
v
a
lu
a
te
th
e
c
o
m
p
a
n
ies
'
fin
a
n
c
ial
p
e
r
f
o
rm
a
n
c
e
s.
Th
e
re
su
lt
o
f
th
is
st
u
d
y
ra
n
k
s
2
0
h
e
a
lt
h
c
a
re
c
o
m
p
a
n
ies
in
M
a
l
a
y
sia
a
n
d
m
a
k
e
s
re
c
o
m
m
e
n
d
a
ti
o
n
s
fo
r
in
v
e
stm
e
n
t
-
wo
rt
h
y
c
o
m
p
a
n
ies
to
th
e
in
v
e
st
o
rs,
a
ll
o
wi
n
g
t
h
e
m
a
x
imiz
a
ti
o
n
o
f
in
v
e
stm
e
n
t
b
e
n
e
fit
s.
T
h
e
re
su
lt
s
fro
m
th
is
re
se
a
rc
h
a
re
c
ru
c
ial
fo
r
in
v
e
s
to
rs,
c
o
m
p
a
n
ies
,
m
a
rk
e
t
p
a
rti
c
ip
a
n
ts
,
p
u
b
li
c
a
n
d
p
riv
a
te
p
o
li
c
y
m
a
k
e
rs
t
o
e
n
h
a
n
c
e
th
e
ir
in
v
e
stm
e
n
t
d
e
c
isio
n
-
m
a
k
in
g
.
K
ey
w
o
r
d
s
:
Dec
is
io
n
m
ak
in
g
Fin
an
cial
r
atio
Fu
zz
y
T
OPSIS
Hea
lth
ca
r
e
co
m
p
an
ies
R
an
k
in
g
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Far
ah
W
ah
ee
d
a
Azh
ar
Dep
ar
tm
en
t o
f
Ma
th
em
atics Fac
u
lty
o
f
C
o
m
p
u
ter
an
d
Ma
th
e
m
atica
l Scie
n
ce
s
,
Un
iv
er
s
iti T
ek
n
o
lo
g
i M
AR
A
Per
ak
B
r
an
ch
,
T
a
p
ah
C
am
p
u
s
,
3
5
4
0
0
T
ap
a
h
R
o
ad
,
Per
a
k
,
M
alay
s
ia
E
m
ail:
f
ar
ah
1
5
4
@
u
itm
.
ed
u
.
m
y
1.
I
NT
RO
D
UCT
I
O
N
I
n
v
estme
n
t
r
e
f
er
s
to
o
b
tain
in
g
an
ass
et
with
th
e
in
ten
tio
n
th
at
th
e
ass
et
will
ap
p
r
ec
iate
in
v
alu
e
an
d
g
r
o
w
o
v
er
tim
e.
W
ith
th
at,
wea
lth
cr
ea
ted
ca
n
b
e
u
s
ed
to
f
u
l
f
ill m
an
y
f
in
an
cial
o
b
jectiv
es
s
u
ch
as g
iv
in
g
ex
tr
a
in
co
m
e,
s
av
in
g
u
p
f
o
r
r
etir
e
m
en
t,
p
a
y
in
g
d
eb
t
an
d
o
b
lig
a
tio
n
s
,
p
ay
m
e
n
t
o
f
t
u
itio
n
f
ee
s
,
p
u
r
ch
ase
o
f
o
th
er
ass
ets
an
d
s
o
o
n
.
His
to
r
ically
,
s
to
ck
m
ar
k
et
in
v
estme
n
t
h
as
d
eliv
er
ed
wo
n
d
er
f
u
l
r
etu
r
n
s
o
v
er
tim
e.
Mo
r
eo
v
er
,
o
v
er
th
e
lo
n
g
ter
m
,
n
o
o
t
h
er
ty
p
es
o
f
in
v
estme
n
t
ten
d
t
o
p
er
f
o
r
m
b
etter
th
a
n
s
to
ck
in
v
estme
n
t.
T
h
is
was
p
r
o
v
e
n
b
y
o
n
e
o
f
th
e
w
o
r
ld
'
s
r
ich
est
m
en
,
W
ar
r
en
B
u
f
f
ett,
wh
o
h
ad
b
ec
o
m
e
r
ich
th
r
o
u
g
h
s
to
ck
i
n
v
esti
n
g
.
Ho
wev
er
,
b
ein
g
s
u
cc
ess
f
u
l
in
th
e
s
to
ck
m
ar
k
et
is
an
e
x
tr
e
m
ely
d
if
f
icu
lt
task
.
T
h
e
b
asic
co
n
ce
p
t
in
s
to
ck
in
v
esti
n
g
is
to
f
in
d
“c
h
ea
p
”
o
r
“u
n
d
er
v
al
u
ed
”
s
to
ck
s
an
d
s
ell
“r
ich
”
o
r
“o
v
e
r
v
alu
ed
”
s
to
ck
s
to
g
et
ca
p
ital
g
ain
(
p
r
o
f
it)
.
Mo
s
t
o
f
t
h
e
tim
e,
s
to
ck
m
ar
k
et
in
v
esto
r
s
n
ee
d
to
c
o
n
d
u
ct
a
f
u
n
d
am
en
tal
a
n
d
tech
n
ical
an
aly
s
is
to
d
ec
id
e
o
n
wh
ich
s
to
ck
s
to
i
n
v
est
in
.
T
h
ese
k
in
d
s
o
f
ev
alu
ati
o
n
s
r
eq
u
ir
e
a
lo
t
o
f
ex
p
er
tis
e
an
d
also
co
n
s
u
m
e
a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
3
,
Ma
r
ch
20
22
:
1
7
2
3
-
1
7
3
0
1724
lo
t
o
f
tim
e.
Ho
wev
e
r
,
in
v
esto
r
s
ca
n
u
tili
ze
a
s
im
p
le
y
et
p
o
wer
f
u
l
d
ec
is
io
n
tech
n
iq
u
e
n
a
m
ed
tech
n
iq
u
e
f
o
r
o
r
d
er
p
r
ef
er
e
n
ce
b
y
s
im
ilar
ity
to
id
ea
l
s
o
lu
tio
n
(
T
OPSIS)
in
m
ak
in
g
i
n
v
estme
n
t
d
ec
is
io
n
s
.
T
OPSIS,
wh
ich
was
p
r
o
p
o
s
ed
b
y
[
1
]
,
ex
am
in
e
s
a
n
u
m
b
er
o
f
alter
n
ativ
es
ac
co
r
d
in
g
to
a
p
r
e
-
s
p
ec
if
ied
cr
iter
io
n
,
id
en
tifie
s
ea
ch
cr
iter
io
n
’
s
weig
h
t,
n
o
r
m
alis
es
ea
ch
cr
iter
io
n
’
s
s
co
r
e,
a
n
d
b
et
wee
n
ea
ch
alter
n
ativ
e,
it
u
ltim
ately
ca
lcu
lates
th
e
g
e
o
m
e
t
r
i
c
d
is
t
a
n
c
e
a
n
d
t
h
e
i
d
e
a
l
o
p
t
i
o
n
,
s
e
e
a
ls
o
[
2
]
-
[
7
]
.
A
c
c
o
r
d
i
n
g
t
o
[
8
]
-
[
1
3
]
,
f
i
n
a
n
c
i
a
l
r
a
t
i
o
s
a
r
e
c
r
u
ci
al
b
e
c
a
u
s
e
t
h
e
y
c
a
n
b
e
u
s
e
d
t
o
a
s
s
e
s
s
t
h
e
c
o
m
p
e
t
it
i
v
e
a
d
v
a
n
t
a
g
e
a
n
d
t
h
e
l
e
v
el
o
f
c
o
m
p
a
n
i
es
’
s
u
s
t
a
i
n
a
b
il
i
t
y
w
i
t
h
i
n
i
n
d
u
s
t
r
i
es
.
R
e
le
v
a
n
t
s
t
u
d
i
es
t
h
a
t
u
t
il
is
e
d
T
OP
S
I
S
as
t
h
e
m
eth
o
d
o
l
o
g
y
c
a
n
b
e
s
e
e
n
i
n
t
h
e
p
a
p
e
r
b
y
[
1
4
]
-
[
2
3
]
.
W
h
er
ea
s
,
s
tu
d
ies
b
y
[
2
4
]
,
[
2
5
]
also
ad
o
p
ted
f
in
an
cial
r
atio
an
al
y
s
is
u
s
in
g
T
OPSIS
to
an
aly
s
e
t
h
e
p
er
f
o
r
m
an
ce
s
o
f
th
e
s
er
v
ice
an
d
telec
o
m
m
u
n
icatio
n
in
d
u
s
tr
y
in
th
e
Ma
lay
s
ia
co
n
tex
t.
T
h
e
f
ac
t
th
at
th
e
T
OPSIS
m
eth
o
d
allo
ws
attr
i
b
u
tin
g
weig
h
ts
to
th
e
le
v
el
o
f
i
m
p
o
r
tan
ce
o
f
ea
c
h
cr
iter
i
o
n
a
n
d
at
th
e
s
am
e
tim
e
co
n
s
id
er
s
th
e
u
n
ce
r
tain
ty
,
s
u
b
jectiv
ity
,
an
d
co
m
p
lex
ity
o
f
th
e
d
ec
is
io
n
p
r
o
ce
s
s
lead
th
e
in
v
esto
r
s
to
r
an
k
co
m
p
an
ies
f
r
o
m
wo
r
s
t
to
th
e
b
est.
Hea
lth
ca
r
e
co
m
p
an
ies
in
Ma
lay
s
ia
ca
n
b
e
d
ef
in
ed
as
b
u
s
in
ess
es
r
elate
d
to
m
ed
ical
s
er
v
ices,
m
an
u
f
ac
tu
r
er
s
o
f
m
ed
ical
eq
u
ip
m
en
t
an
d
d
r
u
g
s
,
o
r
s
u
p
p
lier
s
o
f
h
ea
l
th
ca
r
e
to
p
atien
ts
.
Acc
o
r
d
in
g
to
ASEA
N
B
r
ief
in
g
o
n
Octo
b
er
6
,
2
0
2
0
,
Ma
la
y
s
ian
h
ea
lth
ca
r
e
is
ex
p
ec
ted
to
r
is
e
co
m
p
ar
ed
to
o
th
er
n
eig
h
b
o
r
i
n
g
co
u
n
tr
ies lik
e
Sin
g
ap
o
r
e
an
d
T
h
ailan
d
.
T
h
is
is
d
u
e
to
Ma
lay
s
ia’
s
h
ea
lth
ca
r
e
s
y
s
tem
th
at
h
as
r
ea
ch
ed
th
e
wo
r
ld
-
class
lev
el
-
f
u
eled
b
y
h
ig
h
-
q
u
ality
h
u
m
an
r
eso
u
r
ce
s
.
B
u
r
s
a
Ma
lay
s
ia
h
as
d
iv
id
ed
th
e
co
u
n
tr
y
'
s
h
ea
lth
ca
r
e
s
ec
to
r
in
to
th
r
ee
s
u
b
-
s
ec
to
r
s
,
n
am
ely
h
ea
l
th
ca
r
e
eq
u
ip
m
en
t
an
d
s
er
v
ices
(
f
o
r
ex
am
p
le;
T
o
p
Glo
v
e
C
o
r
p
o
r
atio
n
B
er
h
ad
an
d
Ha
r
taleg
a
Ho
ld
in
g
s
B
er
h
ad
)
,
h
ea
lth
ca
r
e
p
r
o
v
i
d
er
s
(
f
o
r
i
n
s
tan
ce
;
Ku
m
p
u
lan
Per
u
b
atan
J
o
h
o
r
(
KPJ
Hea
lth
ca
r
e
B
er
h
ad
)
an
d
I
HH
Hea
lth
ca
r
e
B
er
h
ad
w
h
ich
was
p
r
ev
io
u
s
ly
k
n
o
wn
as
I
n
te
g
r
at
ed
Hea
lth
c
ar
e
Ho
ld
in
g
s
B
er
h
ad
)
an
d
p
h
ar
m
ac
eu
ticals
lik
e
Ph
a
r
m
an
iag
a
Ho
ld
in
g
s
an
d
Du
o
p
h
ar
m
a
B
io
tech
B
er
h
ad
.
All th
ese
co
m
p
an
ies ar
e
in
clu
d
ed
in
th
e
d
ata
f
o
r
th
is
s
tu
d
y
.
Oth
er
p
r
ev
io
u
s
r
esear
ch
es
wh
ich
in
co
r
p
o
r
ate
h
ea
lth
ca
r
e
s
ec
to
r
s
in
th
eir
s
tu
d
ies
ar
e
we
l
l
d
o
cu
m
en
ted
in
[
2
4
]
,
[
2
5
]
.
Ho
wev
er
,
th
er
e
wer
e
n
o
c
o
m
p
r
e
h
en
s
iv
e
s
tu
d
ie
s
o
n
th
e
ap
p
licatio
n
o
f
th
e
f
u
z
zy
T
OPSIS
m
eth
o
d
in
ev
alu
atin
g
th
e
f
i
n
an
cial
p
er
f
o
r
m
a
n
ce
o
f
Ma
lay
s
ian
h
ea
lth
ca
r
e
co
m
p
an
ies.
Hen
ce
,
th
e
o
b
jectiv
e
o
f
th
is
s
tu
d
y
is
to
p
r
o
p
o
s
e
a
c
o
n
ce
p
t
u
al
f
r
am
ewo
r
k
f
o
r
e
v
alu
atin
g
,
c
o
m
p
ar
in
g
,
a
n
d
r
an
k
in
g
th
e
f
in
an
cial
p
er
f
o
r
m
an
ce
o
f
h
ea
lth
ca
r
e
co
m
p
an
ies
in
M
alay
s
ia
with
th
e
T
OPSIS
m
o
d
el.
T
h
e
r
em
ain
d
er
o
f
th
is
ar
ticl
e
is
ar
r
an
g
ed
in
th
e
f
o
llo
win
g
m
an
n
e
r
:
Secti
o
n
2
s
u
m
m
ar
is
es
th
e
d
ata
an
d
m
et
h
o
d
o
lo
g
y
u
s
ed
,
f
o
llo
wed
b
y
a
d
is
cu
s
s
io
n
o
n
th
e
f
in
d
in
g
s
,
an
d
th
e
f
in
al
s
ec
tio
n
co
n
clu
d
es with
r
ec
o
m
m
en
d
atio
n
s
f
o
r
f
u
r
th
e
r
r
esear
ch
.
2.
RE
S
E
ARCH
M
E
T
H
O
DO
L
O
G
Y
R
ef
er
r
in
g
to
Data
s
tr
ea
m
,
a
s
et
o
f
d
ata
co
n
s
is
tin
g
o
f
2
0
Ma
lay
s
ian
li
s
ted
h
ea
lth
ca
r
e
co
m
p
an
i
es
f
o
r
th
e
y
ea
r
2
0
2
0
was
r
etr
iev
e
as
r
ep
r
esen
ted
in
T
ab
le
1
.
T
h
e
2
0
h
ea
lth
ca
r
e
co
m
p
an
ies
in
th
e
y
ea
r
2
0
2
0
wer
e
an
aly
ze
d
u
s
in
g
t
h
e
T
OPSIS
m
eth
o
d
b
ased
o
n
s
ev
e
n
t
y
p
es
o
f
r
atio
s
o
f
th
e
f
in
an
cial
asp
ec
t.
T
h
e
f
in
a
n
cial
r
atio
s
th
at
ar
e
co
n
s
id
er
ed
in
th
is
p
ap
er
in
clu
d
e
cu
r
r
e
n
t
r
atio
,
d
iv
id
e
n
d
y
ield
,
p
/e
r
atio
,
g
r
o
s
s
p
r
o
f
it
m
ar
g
in
,
r
etu
r
n
o
n
eq
u
ity
(
R
OE
)
,
to
tal
d
eb
t
%
to
tal
ass
et,
an
d
ea
r
n
in
g
s
p
er
s
h
ar
e
(
E
PS
)
to
ev
alu
ate
th
e
co
m
p
an
ies’
f
in
an
cial
p
er
f
o
r
m
an
ce
s
.
C
u
r
r
en
t
r
atio
,
d
iv
id
en
d
y
ield
,
g
r
o
s
s
p
r
o
f
it
m
ar
g
in
,
E
PS
,
an
d
R
OE
ar
e
th
e
g
r
ea
test
id
ea
l
alter
n
ativ
es
f
o
r
m
ax
im
is
in
g
t
h
e
cr
iter
ia
th
at
n
ee
d
t
o
b
e
m
ax
im
is
ed
,
wh
ils
t
t
o
tal
d
eb
t
%
to
tal
ass
e
t
an
d
P/E
r
atio
n
ee
d
to
b
e
m
in
i
m
is
ed
.
T
ab
le
1
.
Hea
lth
ca
r
e
C
o
m
p
an
ie
s
i
n
Ma
lay
s
ia
s
to
ck
m
ar
k
et
C
O
M
P
A
N
Y
C
O
D
E
A
D
V
EN
TA
B
H
D
C1
A
P
EX
H
EA
LTH
C
A
R
E
B
H
D
C2
C
A
R
EPLU
S
G
R
O
U
P
B
C3
D
U
O
P
H
A
M
A
C4
H
A
R
TA
LEG
A
H
O
LD
I
N
G
S
C5
I
H
H
H
EA
LTH
C
A
R
E
C6
K
O
S
S
A
N
R
U
B
B
E
R
C7
K
O
T
R
A
I
N
D
U
S
TR
I
ES B
H
D
C8
K
P
J HEA
L
TH
C
A
R
E
B
H
D
C9
LK
L
I
N
TER
N
A
TI
O
N
A
L
C
1
0
LY
C
H
EA
L
TH
C
A
R
E
B
H
D
C
1
1
M
A
LA
Y
S
I
A
N
G
EN
O
M
I
C
S
C
1
2
N
O
V
A
P
H
A
R
M
A
S
O
L
C
1
3
O
P
TI
M
A
X
C
1
4
P
H
A
R
M
A
N
I
A
G
A
B
ER
H
A
D
C
1
5
S
M
I
LELI
N
K
H
EA
LTH
C
1
6
S
U
P
ER
M
A
X
C
O
R
P
B
H
D
C
1
7
TM
C
LI
F
E
S
C
I
EN
C
ES
C
1
8
TO
P
G
LO
V
E
C
O
R
P
C
1
9
Y
S
P
S
O
U
TH
EA
S
T
A
S
I
A
C
2
0
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
I
n
ve
s
tin
g
in
Ma
la
ysia
n
h
ea
lth
ca
r
e
u
s
in
g
tech
n
iq
u
e
fo
r
o
r
d
er
p
r
eferen
ce
b
y
…
(
F
a
r
a
h
Wa
h
ee
d
a
A
z
h
a
r
)
1725
T
h
e
T
OPSIS
m
eth
o
d
is
d
esig
n
ed
to
h
el
p
with
m
u
lti
-
cr
iter
i
a
d
ec
is
io
n
-
m
ak
in
g
.
T
h
e
T
OPSIS
m
eth
o
d
tak
es
th
e
g
eo
m
etr
ic
d
is
tan
ce
b
etwe
en
p
o
s
itiv
e
an
d
n
eg
ativ
e
i
d
ea
l
s
o
lu
tio
n
s
in
to
ac
co
u
n
t.
T
h
e
T
OPSIS
m
eth
o
d
is
b
r
o
k
en
d
o
wn
in
t
o
s
ev
en
s
te
p
s
as f
o
llo
win
g
an
d
was p
er
f
o
r
m
ed
in
MS
E
x
ce
l
:
-
Step
1
:
Dec
is
io
n
m
atr
ix
(
(
x
ij
)
m
×
n
)
f
o
r
m
atio
n
.
A
d
ec
is
io
n
m
at
r
ix
th
at
co
n
s
is
ts
o
f
m
alter
n
ativ
es
(
co
m
p
an
ies),
an
d
n
cr
iter
ia
(
f
in
an
cial
r
atio
)
is
f
o
r
m
ed
.
C
o
n
ce
r
n
in
g
ea
ch
cr
iter
io
n
,
th
e
s
co
r
e
o
f
ea
ch
alter
n
ativ
e
is
g
iv
en
as
x
ij
,
an
d
th
en
a
m
atr
ix
(
x
ij
)
m
×
n
is
co
n
s
tr
u
cted
as
s
h
o
wn
in
(
1
)
.
(
x
ij
)
m
×
n
=
[
x
11
x
12
.
.
.
x
1n
x
21
x
22
.
.
.
x
2n
.
.
.
.
.
.
x
m1
x
m2
.
.
.
x
mn
]
(
1
)
-
Step
2
:
Dec
is
io
n
m
at
r
ix
n
o
r
m
aliza
tio
n
.
Var
io
u
s
attr
ib
u
t
e
d
im
en
s
io
n
s
a
r
e
tr
a
n
s
f
o
r
m
ed
in
to
n
o
n
-
d
im
en
s
io
n
al
attr
ib
u
tes,
an
d
a
n
o
r
m
alize
d
d
ec
is
io
n
m
atr
ix
()
i
j
m
n
Rr
=
is
co
n
s
tr
u
cted
,
as
(
2
)
an
d
(
3
)
.
r
ij
=
x
ij
√
∑
x
ij
2
m
i
=
1
,
i
=
1
,
2
,
.
.
.
,
m
,
j
=
1
,
2
,
.
.
.
,
n
(
2
)
R
=
(
r
ij
)
m
×
n
=
[
r
11
r
12
.
.
.
r
1n
r
21
r
22
.
.
.
r
2n
.
.
.
.
.
.
r
m1
r
m2
.
.
.
r
mn
]
(
3
)
-
Step
3
:
W
eig
h
ted
n
o
r
m
alize
d
d
ec
is
io
n
m
atr
ix
(
T
)
Fo
r
m
atio
n
.
T
h
e
weig
h
ted
n
o
r
m
alize
d
d
e
cisi
o
n
m
atr
ix
is
ca
lcu
lated
in
(
4
)
a
n
d
(
5
)
.
T
=
(
t
ij
)
m
×
n
=
(
w
j
r
ij
)
m
×
n
,
i
=
1
,
2
,
.
.
.
,
m
wh
er
e
w
j
=
W
j
∑
W
j
n
j
=
1
,
j
=
1
,
2
,
.
.
.
,
n
(
4
)
∑
w
j
n
j
=
1
=
1
an
d
W
j
is
th
e
o
r
ig
in
al
weig
h
t
g
iv
en
to
th
e
in
d
icato
r
w
j
,
j=1
,
2
,
…,
n
.
T
=
[
w
1
r
11
w
2
r
12
.
.
.
w
n
r
1n
w
1
r
21
w
2
r
22
.
.
.
w
n
r
2n
.
.
.
.
.
.
w
1
r
m1
w
2
r
m2
.
.
.
w
n
r
mn
]
(5
)
-
Step
4
: T
h
e
p
o
s
itiv
e/b
est id
ea
l
(
A
b
)
s
o
lu
tio
n
a
n
d
th
e
n
eg
ativ
e/w
o
r
s
t id
ea
l
(
A
w
)
s
o
lu
tio
n
d
eter
m
in
atio
n
.
A
b
=
{
⟨
min
(
t
ij
|
i
=
1
,
2
,
…
,
m
)
|
j
∈
J
−
⟩
,
⟨
ma
x
(
t
ij
|
i
=
1
,
2
,
.
.
.
,
m
)
|
j
∈
J
+
⟩
}
≡
{
t
bj
|
j
=
1
,
2
,
.
.
.
,
n
}
,
(
6
)
A
w
=
{
⟨
ma
x
(
t
ij
|
i
=
1
,
2
,
…
,
m
)
|
j
∈
J
−
⟩
,
⟨
min
(
t
ij
|
i
=
1
,
2
,
.
.
.
,
m
)
|
j
∈
J
+
⟩
}
≡
{
t
wj
|
j
=
1
,
2
,
.
.
.
,
n
}
,
(
7
)
wh
er
e,
J
+
=
{
j
=
1
,
2
,
.
.
.
,
n
|
j
ass
o
ciate
s
with
th
e
cr
iter
ia
h
av
in
g
a
p
o
s
itiv
e
im
p
ac
t,
an
d
J
−
=
{
j
=
1
,
2
,
.
.
.
,
n
|
j
ass
o
ciate
s
with
th
e
cr
iter
ia
h
av
in
g
a
n
eg
ativ
e
im
p
ac
t.
-
Step
5
:
T
h
e
s
ep
ar
atio
n
m
ea
s
u
r
es
f
o
r
ea
ch
alter
n
ativ
e
f
r
o
m
th
e
b
est
id
ea
l
s
o
lu
tio
n
an
d
n
eg
ativ
e
id
ea
l
s
o
lu
tio
n
ca
lcu
latio
n
.
T
h
e
s
ep
ar
atio
n
m
ea
s
u
r
es f
o
r
ea
ch
alter
n
ativ
e
ar
e
ca
lcu
lated
in
(
8
)
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
3
,
Ma
r
ch
20
22
:
1
7
2
3
-
1
7
3
0
1726
d
ib
=
√
∑
(
t
ij
−
t
bj
)
2
n
j
=
1
,
i
=
1
,
2
,
.
.
.
,
m
(
8
)
T
h
e
d
is
tan
ce
f
r
o
m
th
e
n
eg
ativ
e
id
ea
l so
lu
tio
n
is
ca
lcu
lated
i
n
(
9
)
:
d
iw
=
√
∑
(
t
ij
−
t
wj
)
2
n
j
=
1
,
i
=
1
,
2
,
.
.
.
,
m
(
9
)
-
Step
6
:
T
h
e
r
elativ
e
clo
s
en
ess
to
th
e
id
ea
l
s
o
lu
tio
n
f
o
r
ea
ch
alter
n
ativ
e
ca
lcu
latio
n
:
Fo
r
ea
ch
alter
n
ativ
e,
th
e
r
elativ
e
clo
s
en
ess
to
th
e
id
ea
l so
lu
tio
n
S
iw
is
co
m
p
u
ted
as
s
h
o
wn
in
(
1
0
)
.
s
iw
=
d
iw
d
ib
+
d
iw
,
0
≤
s
iw
≤
1
,
i
=
1
,
2
,
.
.
.
,
m
(
1
0
)
s
iw
=
0
if
a
n
d
o
n
ly
if
t
h
e
alter
n
ativ
e
s
o
lu
tio
n
h
as
th
e
wo
r
s
t
co
n
d
i
tio
n
wh
er
ea
s
s
iw
=
1
if
an
d
o
n
l
y
if
t
h
e
alter
n
ativ
e
s
o
lu
tio
n
h
as th
e
b
e
s
t c
o
n
d
itio
n
.
-
Step
7
:
R
an
k
th
e
alter
n
ativ
es
.
T
h
e
alter
n
ativ
es
b
ased
o
n
t
h
e
r
elativ
e
clo
s
en
ess
co
ef
f
icien
t
in
s
iw
ar
e
r
an
k
ed
i
n
d
escen
d
i
n
g
o
r
d
er
.
T
h
e
b
est alter
n
ativ
e
is
th
e
alter
n
ativ
e
with
th
e
h
ig
h
est
s
iw
.
3.
RE
SU
L
T
S
A
ND
D
IS
CU
SS
I
O
N
Fro
m
th
e
d
ec
is
io
n
-
m
a
k
in
g
m
a
tr
ix
s
h
o
wn
in
T
a
b
le
2
,
th
e
n
o
r
m
alis
ed
d
ec
is
io
n
m
at
r
ix
,
a
n
d
weig
h
ted
n
o
r
m
alis
ed
d
ec
is
io
n
m
atr
ix
wer
e
p
er
f
o
r
m
ed
to
g
et
th
e
p
o
s
itiv
e
id
ea
l
s
o
lu
tio
n
an
d
t
h
e
n
eg
ativ
e
id
ea
l
s
o
lu
tio
n
f
o
r
ea
ch
d
ec
is
io
n
cr
iter
io
n
s
h
o
wn
in
T
ab
le
3
.
Usi
n
g
(
8
)
an
d
(
9
)
,
T
a
b
le
4
s
h
o
ws
th
e
d
is
tan
ce
o
f
all
o
p
tio
n
s
f
r
o
m
th
e
p
o
s
itiv
e
id
ea
l
s
o
lu
ti
o
n
(
D
IB
)
an
d
th
e
n
eg
ativ
e
id
ea
l
s
o
lu
tio
n
(
D
IW
)
.
Fo
r
ea
ch
alter
n
ativ
e,
th
e
r
elativ
e
clo
s
en
ess
to
th
e
id
ea
l
s
o
lu
tio
n
,
s
iw
is
o
b
tain
ed
u
s
in
g
(
1
0
)
.
T
ab
le
5
s
h
o
ws
th
e
r
elativ
e
cl
o
s
en
ess
d
is
tan
ce
o
f
ea
ch
d
ec
is
io
n
alter
n
ativ
e
to
th
e
id
ea
l
s
o
lu
tio
n
,
s
iw
.
T
h
e
co
m
p
an
ies'
o
v
er
all
f
in
an
cial
p
er
f
o
r
m
an
ce
s
tatu
s
is
d
eter
m
in
ed
b
y
th
eir
r
elativ
e
cl
o
s
en
ess
d
is
tan
ce
to
th
e
id
ea
l
s
o
lu
tio
n
,
s
iw
,
wh
ich
is
lis
ted
in
d
e
s
ce
n
d
in
g
o
r
d
er
.
T
h
e
co
m
p
an
y
with
th
e
h
ig
h
est
s
iw
v
alu
e
is
co
n
s
id
er
e
d
th
e
g
r
ea
t
est
alter
n
ativ
e,
as
it
p
r
o
v
id
es
t
h
e
b
est
f
i
n
a
n
cial
r
esu
lts
.
T
ab
le
2
.
Mu
lticr
iter
ia
d
ec
is
io
n
m
ak
in
g
m
atr
ix
C
o
m
p
a
n
y
C
u
r
r
e
n
t
R
a
t
i
o
D
i
v
i
d
e
n
d
Y
i
e
l
d
P
/
E
G
r
o
ss Pr
o
f
i
t
M
a
r
g
i
n
R
e
t
u
r
n
O
n
E
q
u
i
t
y
(
R
O
E)
To
t
a
l
D
e
b
t
%
To
t
a
l
A
sset
s
EPS
C1
2
.
1
7
0
-
1
9
.
9
-
1
2
.
9
9
-
1
9
.
2
2
2
3
.
1
9
-
0
.
0
7
7
C2
2
.
8
2
1
.
0
5
2
9
.
8
9
2
1
.
2
1
1
2
.
5
5
4
.
4
8
0
.
1
1
8
C3
1
.
2
8
0
.
1
4
9
.
0
9
2
8
.
5
6
8
.
2
9
7
0
.
2
2
8
C4
3
.
0
6
1
.
6
3
3
9
.
9
5
4
0
.
9
2
9
.
9
9
2
8
.
8
9
0
.
0
8
5
C5
2
.
6
7
0
.
8
1
5
3
.
4
2
5
.
3
6
1
8
.
0
8
8
.
4
1
0
.
1
2
9
C6
1
.
3
1
0
.
7
3
2
4
2
.
5
2
0
.
2
7
0
.
9
3
1
.
2
6
0
.
0
2
3
C7
2
.
2
7
1
1
0
.
5
9
4
4
.
8
1
5
7
.
0
6
1
5
.
7
0
.
4
2
5
C8
2
.
6
5
3
.
0
1
1
4
.
2
5
6
6
.
1
2
1
6
.
3
3
13
0
.
2
0
4
C9
0
.
8
7
1
.
2
3
8
.
7
4
3
7
.
6
5
5
.
6
5
2
.
4
7
0
.
0
2
6
C
1
0
3
.
4
1
0
3
5
.
4
3
3
4
.
3
2
7
.
3
7
1
4
.
2
8
0
.
0
1
C
1
1
0
.
9
2
0
-
5
.
8
1
2
3
.
9
6
-
4
3
.
7
3
5
0
.
2
4
-
0
.
0
2
9
C
1
2
1
1
.
1
2
0
2
.
0
9
-
6
3
6
.
6
1
1
3
0
.
6
0
0
.
1
6
5
C
1
3
6
.
0
7
0
.
7
7
3
7
.
7
7
4
1
.
3
5
-
6
.
3
7
0
.
9
3
-
0
.
0
0
4
C
1
4
2
.
6
8
0
4
7
.
5
6
6
8
.
9
16
3
1
.
5
3
0
.
0
2
5
C
1
5
0
.
7
8
2
.
5
1
9
.
9
2
2
.
4
8
8
.
1
4
4
3
.
9
1
0
.
1
0
5
C
1
6
2
0
.
5
7
5
4
.
1
4
7
.
2
7
2
.
8
7
1
9
.
4
0
.
0
0
4
C
1
7
1
.
2
7
0
4
0
.
0
4
4
2
.
7
8
3
9
.
5
7
1
0
.
3
2
0
.
1
9
6
C
1
8
2
.
6
6
0
.
2
6
1
4
.
5
4
9
.
0
5
2
.
0
8
9
.
3
0
.
0
0
9
C
1
9
2
.
0
1
4
.
9
1
.
7
3
3
9
.
4
4
7
.
3
2
2
1
.
2
6
0
.
2
1
9
C
2
0
4
.
7
6
3
.
0
7
2
.
3
8
42
6
.
5
5
1
2
.
7
8
0
.
1
5
7
T
h
e
r
esu
lt
in
T
ab
le
5
in
d
icate
s
th
e
r
an
k
in
g
o
f
th
e
h
ea
lth
c
ar
e
co
m
p
an
ies
in
all
s
ec
to
r
s
.
T
ab
le
s
6
-
8
s
h
o
w
th
e
r
an
k
in
g
r
esu
lt
o
f
th
e
h
ea
lth
ca
r
e
co
m
p
a
n
ies
in
eq
u
i
p
m
en
t
s
ec
to
r
s
,
p
r
o
v
id
er
s
ec
to
r
s
,
an
d
p
h
ar
m
ac
eu
ticals
in
ter
m
s
o
f
th
eir
f
in
an
cial
p
er
f
o
r
m
an
ce
s
u
s
in
g
th
e
T
OPSIS
ap
p
r
o
ac
h
,
r
esp
ec
tiv
ely
.
B
ased
o
n
th
e
tab
les,
it
is
o
b
s
er
v
ed
th
at
T
o
p
Glo
v
e
C
o
r
p
s
tea
d
ily
r
a
n
k
ed
f
ir
s
t
am
o
n
g
all
th
e
h
ea
l
th
ca
r
e
s
ec
to
r
s
an
d
h
ea
lth
ca
r
e
eq
u
i
p
m
en
t
s
u
b
s
ec
t
o
r
.
Fo
r
th
at
r
ea
s
o
n
,
T
o
p
Glo
v
e
C
o
r
p
is
s
aid
to
h
av
e
th
e
h
i
g
h
est
r
an
k
in
g
in
ter
m
s
o
f
f
in
an
cial
p
er
f
o
r
m
a
n
ce
.
A
p
ar
t
f
r
o
m
th
at,
I
HH
h
ea
lth
c
ar
e
,
Ko
s
s
an
R
u
b
b
er
,
Ko
tr
a
I
n
d
u
s
tr
ies
B
hd
an
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
I
n
ve
s
tin
g
in
Ma
la
ysia
n
h
ea
lth
ca
r
e
u
s
in
g
tech
n
iq
u
e
fo
r
o
r
d
er
p
r
eferen
ce
b
y
…
(
F
a
r
a
h
Wa
h
ee
d
a
A
z
h
a
r
)
1727
C
ar
ep
lu
s
Gr
o
u
p
B
er
h
ad
ar
e
f
o
u
n
d
to
b
e
am
o
n
g
th
e
to
p
f
iv
e
co
m
p
an
ies
f
o
r
all
h
ea
lth
ca
r
e
s
ec
to
r
s
an
d
with
in
th
eir
o
wn
s
u
b
s
ec
to
r
s
.
I
t
is
n
o
t
s
u
r
p
r
is
in
g
th
at
two
o
u
t
o
f
f
iv
e
h
ig
h
est
r
an
k
co
m
p
a
n
ies
ar
e
m
ed
ical
g
lo
v
e
p
r
o
d
u
ce
r
s
(
T
op
Glo
v
e
C
o
r
p
a
n
d
Ko
s
s
an
R
u
b
b
er
)
s
in
ce
th
er
e
is
a
s
u
r
g
e
in
d
em
an
d
f
o
r
g
lo
v
es
wo
r
ld
wid
e
th
at
p
u
s
h
ed
th
eir
ea
r
n
in
g
s
to
a
r
ec
o
r
d
h
ig
h
.
W
h
ile
I
HH
h
ea
lth
ca
r
e
r
an
k
ed
h
i
g
h
in
all
s
ec
to
r
s
,
i
t
is
an
in
ter
n
atio
n
al
p
r
em
iu
m
h
ea
lth
ca
r
e
p
r
o
v
id
er
in
m
an
y
m
ar
k
ets
wh
er
e
th
e
d
e
m
an
d
f
o
r
q
u
ality
ca
r
e
i
s
s
tr
o
n
g
an
d
g
r
o
win
g
.
On
th
e
o
th
er
h
an
d
,
th
e
f
ac
t
th
at
Ad
v
en
ta
B
h
d
,
L
YC
h
ea
lth
ca
r
e
B
h
d
an
d
No
v
a
Ph
ar
m
a
SOL
r
an
k
ed
lo
west
with
in
th
eir
s
u
b
s
ec
to
r
s
ar
e
co
n
f
ir
m
ed
as th
ese
co
m
p
an
ies also
r
an
k
e
d
lo
west in
all
h
ea
lth
ca
r
e
s
ec
t
o
r
s
.
T
ab
le
3
.
Po
s
itiv
e
id
ea
l
(
)
an
d
n
eg
ativ
e
id
ea
l (
)
s
o
lu
tio
n
s
I
d
e
a
l
S
o
l
u
t
i
o
n
C
u
r
r
e
n
t
R
a
t
i
o
D
i
v
i
d
e
n
d
Y
i
e
l
d
P
/
E
G
r
o
ss Pr
o
f
i
t
M
a
r
g
i
n
R
e
t
u
r
n
o
n
e
q
u
i
t
y
(
R
O
E)
To
t
a
l
D
e
b
t
%
To
t
a
l
A
sset
s
EPS
P
o
si
t
i
v
e
i
d
e
a
l
so
l
u
t
i
o
n
(
)
0
.
0
9
7
0
4
3
2
3
0
.
0
9
2
6
0
4
9
0
8
0
.
1
2
4
6
4
5
7
9
7
0
.
0
1
4
9
7
4
6
9
6
0
.
1
0
3
4
9
2
2
0
.
0
6
7
7
2
7
8
1
4
0
.
0
8
8
4
7
3
3
5
5
N
e
g
a
t
i
v
e
i
d
e
a
l
so
l
u
t
i
o
n
(
)
0
.
0
0
6
8
0
7
0
-
0
.
0
1
0
2
2
8
6
7
-
0
.
1
3
8
3
6
0
5
4
1
-
0
.
0
3
4
6
5
0
-
0
.
0
1
6
0
2
9
2
9
T
ab
le
4
.
Dis
tan
ce
o
f
t
h
e
alter
n
ativ
es f
r
o
m
th
e
p
o
s
itiv
e
id
ea
l so
lu
tio
n
(
)
an
d
n
eg
ativ
e
id
ea
l so
lu
tio
n
(
)
C
o
m
p
a
n
y
N
a
m
e
C1
0
.
2
4
4
1
8
9
2
9
3
0
.
1
4
0
6
7
9
6
2
1
C2
0
.
1
9
8
1
4
9
9
6
9
0
.
1
5
9
6
1
3
5
7
2
C3
0
.
1
9
3
6
5
4
7
7
3
0
.
1
8
2
0
3
5
6
9
2
C4
0
.
1
8
6
3
1
6
0
2
5
0
.
1
6
8
2
7
0
9
2
C5
0
.
1
8
9
5
5
6
0
2
7
0
.
1
6
4
2
5
9
1
3
8
C6
0
.
1
7
8
7
9
6
1
5
2
0
.
2
0
5
1
7
6
1
7
2
C7
0
.
1
7
6
8
6
9
7
8
5
0
.
2
0
1
0
3
7
2
8
1
C8
0
.
1
8
2
8
0
0
5
3
0
.
1
8
1
9
4
9
9
6
3
C9
0
.
2
0
1
5
3
7
1
6
4
0
.
1
7
1
6
7
7
8
8
9
C
1
0
0
.
2
0
9
5
6
4
1
6
2
0
.
1
5
7
8
1
7
8
1
4
C
1
1
0
.
2
4
6
7
9
8
0
5
1
0
.
1
5
8
0
2
2
1
4
2
C
1
2
0
.
2
3
4
2
5
1
6
7
2
0
.
1
7
2
8
9
4
2
6
7
C
1
3
0
.
2
0
8
1
5
0
1
2
7
0
.
1
6
1
3
7
4
8
5
C
1
4
0
.
1
9
9
8
8
0
2
0
8
0
.
1
7
1
2
7
9
1
5
1
C
1
5
0
.
1
9
3
5
8
1
9
7
6
0
.
1
6
8
1
7
1
8
1
9
C
1
6
0
.
2
0
5
3
7
4
9
3
2
0
.
1
6
1
3
7
9
4
1
3
C
1
7
0
.
1
9
3
0
3
5
7
0
7
0
.
1
7
4
7
4
2
7
3
8
C
1
8
0
.
2
1
9
1
2
5
3
1
7
0
.
1
4
8
5
9
6
4
5
1
C
1
9
0
.
1
7
1
7
3
9
7
4
4
0
.
2
0
0
3
9
1
8
2
2
C
2
0
0
.
1
8
6
9
3
4
4
0
2
0
.
1
7
5
1
8
3
6
9
8
T
ab
le
5
.
R
an
k
in
g
o
f
h
ea
lth
ca
r
e
co
m
p
an
ies in
all
s
ec
to
r
s
C
o
d
e
C
o
m
p
a
n
i
e
s
R
e
l
a
t
i
v
e
c
l
o
se
n
e
ss
t
o
t
h
e
i
d
e
a
l
s
o
l
u
t
i
o
n
,
s
iw
R
a
n
k
C
1
9
TO
P
G
LO
V
E
C
O
R
P
0
.
5
3
8
4
9
7
2
4
2
1
C6
I
H
H
H
EA
LTH
C
A
R
E
0
.
5
3
4
3
5
1
4
6
2
C7
K
O
S
S
A
N
R
U
B
B
E
R
0
.
5
3
1
9
7
5
4
4
8
3
C8
K
O
T
R
A
I
N
D
U
S
TR
I
ES B
H
D
0
.
4
9
8
8
3
4
0
4
3
4
C3
C
A
R
EPLU
S
G
R
O
U
P
B
0
.
4
8
4
5
3
6
3
6
4
5
C
2
0
Y
S
P
S
O
U
TH
EA
S
T
A
S
I
A
0
.
4
8
3
7
7
5
0
3
9
6
C
1
7
S
U
P
ER
M
A
X
C
O
R
P
B
H
D
0
.
4
7
5
1
3
0
4
4
9
7
C4
D
U
O
P
H
A
M
A
0
.
4
7
4
5
5
4
7
5
3
8
C
1
5
P
H
A
R
M
A
N
I
A
G
A
B
ER
H
A
D
0
.
4
6
4
8
7
9
2
1
1
9
C5
H
A
R
TA
LEG
A
H
O
LD
I
N
G
S
0
.
4
6
4
2
5
1
2
6
6
10
C
1
4
O
P
TI
M
A
X
0
.
4
6
1
4
7
0
6
5
1
11
C9
K
P
J HEA
L
TH
C
A
R
E
B
H
D
0
.
4
5
9
9
9
7
2
2
6
12
C2
A
P
EX
H
EA
LTH
C
A
R
E
B
H
D
0
.
4
4
6
1
4
2
6
4
4
13
C
1
6
S
M
I
LELI
N
K
H
EA
LTH
0
.
4
4
0
0
2
0
4
5
2
14
C
1
3
N
O
V
A
P
H
A
R
M
A
S
O
L
0
.
4
3
6
7
0
8
9
1
1
15
C
1
0
LK
L
I
N
TER
N
A
TI
O
N
A
L
0
.
4
2
9
5
7
4
1
8
8
16
C
1
2
M
A
LA
Y
S
I
A
N
G
EN
O
M
I
C
S
0
.
4
2
4
6
4
9
3
7
2
17
C
1
8
TM
C
LI
F
E
S
C
I
EN
C
ES
0
.
4
0
4
1
0
0
2
3
1
18
C
1
1
LY
C
H
EA
L
TH
C
A
R
E
B
H
D
0
.
3
9
0
3
5
1
4
3
2
19
C1
A
D
V
EN
TA
B
H
D
0
.
3
6
5
5
2
6
0
6
9
20
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
3
,
Ma
r
ch
20
22
:
1
7
2
3
-
1
7
3
0
1728
T
ab
le
6
.
C
o
m
p
a
n
ies
r
an
k
in
g
i
n
th
e
h
ea
lth
ca
r
e
eq
u
i
p
m
en
t se
cto
r
C
o
d
e
C
o
m
p
a
n
i
e
s
R
e
l
a
t
i
v
e
c
l
o
se
n
e
ss
t
o
t
h
e
i
d
e
a
l
s
o
l
u
t
i
o
n
,
s
iw
R
a
n
k
C
1
9
TO
P
G
LO
V
E
C
O
R
P
0
.
5
9
5
2
5
0
1
7
2
1
C7
K
O
S
S
A
N
R
U
B
B
E
R
0
.
5
4
8
9
5
7
9
7
4
2
C5
H
A
R
TA
LEG
A
H
O
LD
I
N
G
S
0
.
5
1
5
7
7
8
7
3
5
3
C
1
7
S
U
P
ER
M
A
X
C
O
R
P
B
H
D
0
.
4
9
8
6
8
2
8
5
3
4
C3
C
A
R
EPLU
S
G
R
O
U
P
B
0
.
4
7
1
6
9
6
2
9
9
5
C
1
0
LK
L
I
N
TER
N
A
TI
O
N
A
L
0
.
4
6
2
8
8
8
1
0
2
6
C
1
2
M
A
LA
Y
S
I
A
N
G
EN
O
M
I
C
S
0
.
4
2
2
2
8
2
0
4
1
7
C1
A
D
V
EN
TA
B
H
D
0
.
3
6
9
2
6
2
6
3
4
8
T
ab
le
7
.
C
o
m
p
a
n
ies
r
an
k
in
g
i
n
th
e
h
ea
lth
ca
r
e
p
r
o
v
id
er
s
ec
to
r
C
o
d
e
C
o
m
p
a
n
i
e
s
R
e
l
a
t
i
v
e
c
l
o
se
n
e
ss
t
o
t
h
e
i
d
e
a
l
s
o
l
u
t
i
o
n
,
s
iw
R
a
n
k
C6
I
H
H
H
EA
LTH
C
A
R
E
0
.
6
9
5
7
5
4
9
7
7
1
C
1
4
K
P
J HEA
L
TH
C
A
R
E
B
H
D
0
.
6
4
8
4
5
1
3
0
8
2
C9
O
P
TI
M
A
X
0
.
6
1
9
8
6
9
5
9
3
3
C
1
8
S
M
I
LELI
N
K
H
EA
LTH
0
.
5
5
2
8
6
6
3
8
4
4
C
1
6
TM
C
LI
F
E
S
C
I
EN
C
ES
0
.
4
7
7
4
7
9
2
3
8
5
C
1
1
LY
C
H
EA
L
TH
C
A
R
E
B
H
D
0
.
1
8
7
7
1
3
0
7
1
6
T
ab
le
8
.
C
o
m
p
a
n
ies
r
an
k
in
g
i
n
th
e
h
ea
lth
ca
r
e
p
h
a
r
m
ac
eu
tic
al
s
ec
to
r
C
o
d
e
C
o
m
p
a
n
i
e
s
R
e
l
a
t
i
v
e
c
l
o
se
n
e
ss
t
o
t
h
e
i
d
e
a
l
s
o
l
u
t
i
o
n
,
s
iw
R
a
n
k
C8
K
O
T
R
A
I
N
D
U
S
TR
I
ES B
H
D
0
.
6
4
1
2
2
7
7
3
7
1
C4
D
U
O
P
H
A
M
A
0
.
6
1
0
8
1
3
4
4
3
2
C
2
0
Y
S
P
S
O
U
TH
EA
S
T
A
S
I
A
0
.
5
2
7
1
7
4
6
2
7
3
C
1
5
P
H
A
R
M
A
N
I
A
G
A
B
ER
H
A
D
0
.
5
1
9
4
6
8
7
3
7
4
C2
A
P
EX
H
EA
LTH
C
A
R
E
B
H
D
0
.
4
8
0
7
3
3
0
5
3
5
C
1
3
N
O
V
A
P
H
A
R
M
A
S
O
L
0
.
3
7
7
5
8
8
2
4
8
6
4.
CO
NCLU
SI
O
N
I
n
co
n
clu
s
io
n
,
t
h
is
ar
ticle
h
as
f
u
lf
illed
its
o
b
jectiv
e
to
e
v
alu
ate
2
0
Ma
lay
s
ian
h
ea
lth
ca
r
e
co
m
p
an
ies
u
s
in
g
th
e
T
OPSIS
m
u
lti
-
cr
iter
ia
d
ec
is
io
n
-
m
ak
in
g
m
eth
o
d
.
T
h
e
f
in
d
in
g
s
f
r
o
m
th
is
p
ap
er
ca
n
b
e
u
s
ed
to
ass
is
t
in
v
esto
r
s
in
m
ak
in
g
in
v
estme
n
t
d
ec
is
io
n
s
alo
n
g
s
id
e
o
th
er
tech
n
iq
u
es.
T
h
is
p
a
p
er
,
wh
ic
h
u
tili
ze
s
f
in
a
n
cial
r
atio
s
as
th
e
cr
iter
ia,
h
as
m
an
ag
ed
to
ev
alu
ate
th
e
co
m
p
a
n
ies’
f
in
an
cial
p
er
f
o
r
m
an
ce
s
an
d
r
an
k
ed
th
em
ac
co
r
d
in
g
l
y
.
I
t
is
f
o
u
n
d
t
h
at
th
e
to
p
f
iv
e
co
m
p
an
ies
f
r
o
m
th
e
o
v
er
all
th
r
ee
s
u
b
-
s
ec
to
r
s
in
t
h
e
h
ea
lth
ca
r
e
in
d
u
s
tr
y
(
T
o
p
Glo
v
e
C
o
r
p
,
I
H
H
h
ea
lth
ca
r
e
,
Ko
s
s
an
R
u
b
b
er
,
Ko
tr
a
I
n
d
u
s
tr
ies
B
h
d
an
d
C
ar
ep
lu
s
Gr
o
u
p
)
also
s
to
o
d
u
p
as
t
h
e
to
p
two
co
m
p
an
ies
in
th
eir
r
esp
ec
tiv
e
s
u
b
-
s
ec
to
r
s
.
On
e
o
f
th
e
p
r
o
f
o
u
n
d
f
ac
to
r
s
is
th
at
th
ese
to
p
co
m
p
a
n
ies
also
p
o
s
it
th
em
s
elv
es
as
lead
in
g
p
lay
er
s
in
th
e
h
ea
lth
ca
r
e
in
d
u
s
tr
y
.
I
t
is
r
ec
o
m
m
en
d
e
d
th
at
th
e
s
tu
d
y
is
co
n
d
u
cted
in
d
if
f
er
e
n
t
in
d
u
s
tr
ies
in
f
u
tu
r
e
r
esear
ch
b
y
u
tili
zin
g
m
o
r
e
ad
v
an
c
ed
tech
n
iq
u
es
an
d
m
eth
o
d
o
l
o
g
y
.
Fu
r
t
h
er
s
tu
d
ies
s
h
o
u
ld
also
co
n
s
id
er
co
n
f
i
r
m
i
n
g
th
e
r
a
n
k
i
n
g
r
esu
lts
u
s
in
g
T
OPSIS
tech
n
iq
u
es
with
a
d
if
f
er
en
t set o
f
m
eth
o
d
o
lo
g
y
.
B
y
d
o
in
g
s
o
,
th
e
r
esu
lt’s r
o
b
u
s
tn
ess
ca
n
b
e
o
b
tain
ed
.
ACK
NO
WL
E
DG
E
M
E
NT
S
T
h
e
au
th
o
r
s
wo
u
ld
lik
e
to
th
an
k
Un
iv
er
s
iti
T
ek
n
o
l
o
g
i
M
AR
A
f
o
r
th
eir
f
ac
ilit
ies
an
d
co
n
tin
u
o
u
s
s
u
p
p
o
r
t.
RE
F
E
R
E
NC
E
S
[
1
]
C.
-
L.
H
w
a
n
g
a
n
d
K
.
Y
o
o
n
,
“
M
e
t
h
o
d
s
f
o
r
M
u
l
t
i
p
l
e
A
t
t
r
i
b
u
t
e
D
e
c
i
si
o
n
M
a
k
i
n
g
,
”
i
n
M
u
l
t
i
p
l
e
At
t
ri
b
u
t
e
D
e
c
i
si
o
n
M
a
k
i
n
g
,
1
9
8
1
,
p
p
.
5
8
–
1
9
1
,
d
o
i
:
1
0
.
1
0
0
7
/
9
7
8
-
3
-
6
4
2
-
4
8
3
1
8
-
9
_
3
.
[
2
]
Y
.
A
l
m
o
g
h
a
t
h
a
w
i
,
K
.
B
a
r
k
e
r
,
C
.
M
.
R
o
c
c
o
,
a
n
d
C
.
D
.
N
i
c
h
o
l
s
o
n
,
“
A
m
u
l
t
i
-
c
r
i
t
e
r
i
a
d
e
c
i
si
o
n
a
n
a
l
y
s
i
s
a
p
p
r
o
a
c
h
f
o
r
i
m
p
o
r
t
a
n
c
e
i
d
e
n
t
i
f
i
c
a
t
i
o
n
a
n
d
r
a
n
k
i
n
g
o
f
n
e
t
w
o
r
k
c
o
m
p
o
n
e
n
t
s,
”
R
e
l
i
a
b
i
l
i
t
y
E
n
g
i
n
e
e
r
i
n
g
a
n
d
S
y
s
t
e
m
S
a
f
e
t
y
,
v
o
l
.
1
5
8
,
p
p
.
1
4
2
–
1
5
1
,
F
e
b
.
2
0
1
7
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
r
e
s
s.
2
0
1
6
.
1
0
.
0
0
7
.
[
3
]
N
.
C
h
e
n
,
L
.
C
h
e
n
,
Y
.
M
a
,
a
n
d
A
.
C
h
e
n
,
“
R
e
g
i
o
n
a
l
d
i
s
a
s
t
e
r
r
i
s
k
a
s
s
e
s
s
m
e
n
t
o
f
c
h
i
n
a
b
a
s
e
d
o
n
s
e
l
f
-
o
r
g
a
n
i
z
i
n
g
m
a
p
:
C
l
u
s
t
e
r
i
n
g
,
v
i
s
u
a
l
i
z
a
t
i
o
n
a
n
d
r
a
n
k
i
n
g
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
D
i
s
a
s
t
e
r
R
i
s
k
R
e
d
u
c
t
i
o
n
,
p
p
.
1
9
6
–
2
0
6
,
F
e
b
.
2
0
1
9
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
i
j
d
r
r
.
2
0
1
8
.
1
0
.
0
0
5
.
[
4
]
M
.
J
u
p
r
i
a
n
d
R
.
S
a
r
n
o
,
“
D
a
t
a
mi
n
i
n
g
,
f
u
z
z
y
A
H
P
a
n
d
TO
P
S
I
S
f
o
r
o
p
t
i
mi
z
i
n
g
t
a
x
p
a
y
e
r
s
u
p
e
r
v
i
si
o
n
,
”
I
n
d
o
n
e
si
a
n
J
o
u
r
n
a
l
o
f
El
e
c
t
r
i
c
a
l
En
g
i
n
e
e
r
i
n
g
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
v
o
l
.
1
8
,
n
o
.
1
,
p
p
.
7
5
–
8
7
,
A
p
r
.
2
0
1
9
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
e
e
c
s.
v
1
8
.
i
1
.
p
p
7
5
-
8
7
.
[
5
]
L.
F
e
r
r
e
i
r
a
,
D
.
B
o
r
e
n
st
e
i
n
,
a
n
d
E.
S
a
n
t
i
,
“
H
y
b
r
i
d
f
u
z
z
y
M
A
D
M
r
a
n
k
i
n
g
p
r
o
c
e
d
u
r
e
f
o
r
b
e
t
t
e
r
a
l
t
e
r
n
a
t
i
v
e
d
i
s
c
r
i
mi
n
a
t
i
o
n
,
”
En
g
i
n
e
e
ri
n
g
A
p
p
l
i
c
a
t
i
o
n
s
o
f
Art
i
f
i
c
i
a
l
I
n
t
e
l
l
i
g
e
n
c
e
,
v
o
l
.
5
0
,
p
p
.
7
1
–
8
2
,
A
p
r
.
2
0
1
6
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
n
g
a
p
p
a
i
.
2
0
1
5
.
1
2
.
0
1
2
.
[
6
]
M
.
B
e
h
z
a
d
i
a
n
,
S
.
K
.
O
t
a
g
h
sara
,
M
.
Y
a
z
d
a
n
i
,
a
n
d
J.
I
g
n
a
t
i
u
s
,
“
A
st
a
t
e
-
o
f
t
h
e
-
a
r
t
s
u
r
v
e
y
o
f
TO
P
S
I
S
a
p
p
l
i
c
a
t
i
o
n
s,
”
E
x
p
e
r
t
S
y
s
t
e
m
s
w
i
t
h
Ap
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
3
9
,
n
o
.
1
7
,
p
p
.
1
3
0
5
1
–
1
3
0
6
9
,
D
e
c
.
2
0
1
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
sw
a
.
2
0
1
2
.
0
5
.
0
5
6
.
[
7
]
N
.
A
.
F
a
h
a
mi
,
F
.
W
.
A
z
h
a
r
,
Z
.
H
.
A
.
R
a
h
i
m
,
a
n
d
H
.
A
.
K
a
r
i
m,
“
F
u
z
z
y
l
o
g
i
c
a
p
p
l
i
c
a
t
i
o
n
i
n
e
v
a
l
u
a
t
i
n
g
f
i
n
a
n
c
i
a
l
p
e
r
f
o
r
ma
n
c
e
:
a
c
a
se
st
u
d
y
o
f
s
e
r
v
i
c
e
s se
c
t
o
r
i
n
M
a
l
a
y
si
a
,
”
A
u
st
ra
l
i
a
n
J
o
u
rn
a
l
o
f
B
u
s
i
n
e
ss
a
n
d
Ec
o
n
o
m
i
c
S
t
u
d
i
e
s
,
v
o
l
.
1
,
n
o
.
1
,
p
p
.
6
9
–
7
3
,
2
0
1
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
I
n
ve
s
tin
g
in
Ma
la
ysia
n
h
ea
lth
ca
r
e
u
s
in
g
tech
n
iq
u
e
fo
r
o
r
d
er
p
r
eferen
ce
b
y
…
(
F
a
r
a
h
Wa
h
ee
d
a
A
z
h
a
r
)
1729
[
8
]
T.
M
.
W
a
s
a
r
a
a
n
d
F
.
G
a
n
d
a
,
“
Th
e
r
e
l
a
t
i
o
n
sh
i
p
b
e
t
w
e
e
n
c
o
r
p
o
r
a
t
e
s
u
st
a
i
n
a
b
i
l
i
t
y
d
i
sc
l
o
s
u
r
e
a
n
d
f
i
r
m
f
i
n
a
n
c
i
a
l
p
e
r
f
o
r
ma
n
c
e
i
n
Jo
h
a
n
n
e
sb
u
r
g
S
t
o
c
k
Ex
c
h
a
n
g
e
(
JS
E)
l
i
st
e
d
m
i
n
i
n
g
c
o
mp
a
n
i
e
s
,
”
S
u
st
a
i
n
a
b
i
l
i
t
y
(
S
w
i
t
z
e
rl
a
n
d
)
,
v
o
l
.
1
1
,
n
o
.
1
6
,
p
.
4
4
9
6
,
A
u
g
.
2
0
1
9
,
d
o
i
:
1
0
.
3
3
9
0
/
s
u
1
1
1
6
4
4
9
6
.
[
9
]
A
.
H
a
m
d
a
n
,
R
.
K
h
a
mi
s
,
M
.
A
n
a
sw
e
h
,
M
.
A
l
-
H
a
s
h
i
mi
,
a
n
d
A
.
R
a
z
z
a
q
u
e
,
“
I
T
g
o
v
e
r
n
a
n
c
e
a
n
d
f
i
r
m
p
e
r
f
o
r
ma
n
c
e
:
e
m
p
i
r
i
c
a
l
st
u
d
y
f
r
o
m
S
a
u
d
i
A
r
a
b
i
a
,
”
S
AG
E
O
p
e
n
,
v
o
l
.
9
,
n
o
.
2
,
p
.
2
1
5
8
2
4
4
0
1
9
8
4
3
7
2
,
A
p
r
.
2
0
1
9
,
d
o
i
:
1
0
.
1
1
7
7
/
2
1
5
8
2
4
4
0
1
9
8
4
3
7
2
1
.
[
1
0
]
K
.
R
a
e
d
,
“
D
i
v
i
d
e
n
d
p
o
l
i
c
y
a
n
d
c
o
m
p
a
n
i
e
s
F
i
n
a
n
c
i
a
l
P
e
r
f
o
r
ma
n
c
e
,
”
J
o
u
r
n
a
l
o
f
As
i
a
n
F
i
n
a
n
c
e
,
E
c
o
n
o
m
i
c
s
a
n
d
Bu
si
n
e
ss
,
v
o
l
.
7
,
n
o
.
1
0
,
p
p
.
5
3
1
–
5
4
2
,
O
c
t
.
2
0
2
0
,
d
o
i
:
1
0
.
1
3
1
0
6
/
j
a
f
e
b
.
2
0
2
0
.
v
o
l
7
.
n
o
1
0
.
5
3
1
.
[
1
1
]
C
.
M
.
F
e
n
g
a
n
d
R
.
T.
W
a
n
g
,
“
P
e
r
f
o
r
man
c
e
e
v
a
l
u
a
t
i
o
n
f
o
r
a
i
r
l
i
n
e
s
i
n
c
l
u
d
i
n
g
t
h
e
c
o
n
si
d
e
r
a
t
i
o
n
o
f
f
i
n
a
n
c
i
a
l
r
a
t
i
o
s,”
J
o
u
rn
a
l
o
f
Ai
r
T
ra
n
s
p
o
rt
M
a
n
a
g
e
m
e
n
t
,
v
o
l
.
6
,
n
o
.
3
,
p
p
.
1
3
3
–
1
4
2
,
J
u
l
.
2
0
0
0
,
d
o
i
:
1
0
.
1
0
1
6
/
S
0
9
6
9
-
6
9
9
7
(
0
0
)
0
0
0
0
3
-
X.
[
1
2
]
N
.
B
a
l
c
ı
,
“
F
i
n
a
n
c
i
a
l
p
e
r
f
o
r
m
a
n
c
e
a
n
a
l
y
s
i
s
w
i
t
h
t
o
p
s
i
s
t
e
c
h
n
i
q
u
e
:
a
c
a
s
e
st
u
d
y
o
f
p
u
b
l
i
c
u
n
i
v
e
r
si
t
y
h
o
sp
i
t
a
l
s
i
n
T
u
r
k
e
y
,
”
Y
ö
n
e
t
i
m
v
e
E
k
o
n
o
m
i
Ara
şt
ı
rm
a
l
a
r
ı
D
e
r
g
i
si
,
p
p
.
1
5
5
–
1
7
6
,
D
e
c
.
2
0
1
7
,
d
o
i
:
1
0
.
1
1
6
1
1
/
y
e
a
d
.
3
7
3
4
5
6
.
[
1
3
]
L.
W
.
H
o
e
,
L.
W
.
S
i
e
w
,
L.
K
.
F
a
i
,
A
.
L.
J
.
X
i
n
,
a
n
d
L.
P
.
F
u
n
,
“
A
n
e
m
p
i
r
i
c
a
l
e
v
a
l
u
a
t
i
o
n
o
n
t
h
e
p
e
r
f
o
r
ma
n
c
e
o
f
f
o
o
d
ser
v
i
c
e
i
n
d
u
st
r
y
i
n
M
a
l
a
y
si
a
w
i
t
h
TO
P
S
I
S
mo
d
e
l
,
”
J
o
u
r
n
a
l
o
f
Ph
y
si
c
s:
C
o
n
f
e
r
e
n
c
e
S
e
ri
e
s
,
v
o
l
.
1
7
0
6
,
n
o
.
1
,
D
e
c
.
2
0
2
0
,
p
.
0
1
2
1
7
2
,
d
o
i
:
1
0
.
1
0
8
8
/
1
7
4
2
-
6
5
9
6
/
1
7
0
6
/
1
/
0
1
2
1
7
2
.
[
1
4
]
Z.
H
.
A
b
d
R
a
h
i
m
,
N
.
A
.
F
a
h
a
mi
,
F
.
W
.
A
z
h
a
r
,
H
.
A
b
d
K
a
r
i
m,
a
n
d
S
.
K
.
N
.
A
b
d
u
l
R
a
h
i
m,
“
A
p
p
l
i
c
a
t
i
o
n
o
f
TO
P
S
I
S
a
n
a
l
y
s
i
s
met
h
o
d
i
n
f
i
n
a
n
c
i
a
l
p
e
r
f
o
r
m
a
n
c
e
e
v
a
l
u
a
t
i
o
n
:
A
c
a
s
e
st
u
d
y
o
f
c
o
n
s
t
r
u
c
t
i
o
n
sec
t
o
r
i
n
M
a
l
a
y
si
a
,
”
Ad
v
a
n
c
e
s
i
n
B
u
si
n
e
ss
Re
s
e
a
r
c
h
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
,
v
o
l
.
6
,
n
o
.
1
,
p
.
1
1
,
M
a
y
2
0
2
0
,
d
o
i
:
1
0
.
2
4
1
9
1
/
a
b
r
i
j
.
v
6
i
1
.
9
9
3
4
.
[
1
5
]
L.
W
.
H
o
e
,
Y
.
H
.
B
e
n
g
,
L.
W
.
S
i
e
w
,
a
n
d
C
.
J.
W
a
i
,
“
A
n
a
l
y
s
i
s o
n
t
h
e
p
e
r
f
o
r
man
c
e
o
f
t
e
c
h
n
o
l
o
g
y
c
o
m
p
a
n
i
e
s
w
i
t
h
Z
-
sc
o
r
e
m
o
d
e
l
,
”
Bu
l
l
e
t
i
n
o
f
El
e
c
t
ri
c
a
l
E
n
g
i
n
e
e
ri
n
g
a
n
d
I
n
f
o
rm
a
t
i
c
s
,
v
o
l
.
7
,
n
o
.
4
,
p
p
.
6
3
3
–
6
3
9
,
D
e
c
.
2
0
1
8
,
d
o
i
:
1
0
.
1
1
5
9
1
/
e
e
i
.
v
7
i
4
.
1
3
5
3
.
[
1
6
]
H
.
D
e
n
g
,
C
.
H
.
Y
e
h
,
a
n
d
R
.
J.
W
i
l
l
i
s
,
“
I
n
t
e
r
-
c
o
mp
a
n
y
c
o
m
p
a
r
i
so
n
u
si
n
g
mo
d
i
f
i
e
d
TO
P
S
I
S
w
i
t
h
o
b
j
e
c
t
i
v
e
w
e
i
g
h
t
s,
”
C
o
m
p
u
t
e
r
s
a
n
d
O
p
e
r
a
t
i
o
n
s
Re
s
e
a
r
c
h
,
v
o
l
.
2
7
,
n
o
.
1
0
,
p
p
.
9
6
3
–
9
7
3
,
S
e
p
.
2
0
0
0
,
d
o
i
:
1
0
.
1
0
1
6
/
S
0
3
0
5
-
0
5
4
8
(
9
9
)
0
0
0
6
9
-
6.
[
1
7
]
S
.
B
.
Y
i
l
d
i
z
,
“
P
e
r
f
o
r
m
a
n
c
e
a
n
a
l
y
si
s
o
f
Tu
r
k
e
y
’
s p
a
r
t
i
c
i
p
a
t
i
o
n
a
n
d
c
o
n
v
e
n
t
i
o
n
a
l
i
n
d
i
c
e
s
u
si
n
g
TO
P
S
I
S
met
h
o
d
,
”
J
o
u
r
n
a
l
o
f
I
sl
a
m
i
c
Ac
c
o
u
n
t
i
n
g
a
n
d
B
u
si
n
e
ss R
e
se
a
rc
h
,
v
o
l
.
1
1
,
n
o
.
7
,
p
p
.
1
4
0
3
–
1
4
1
6
,
Ja
n
.
2
0
2
0
,
d
o
i
:
1
0
.
1
1
0
8
/
JI
A
B
R
-
08
-
2
0
1
8
-
0
1
2
3
.
[
1
8
]
H
.
D
i
n
ç
e
r
,
S
.
Y
ü
k
s
e
l
,
a
n
d
Z
.
A
d
a
l
ı
,
“
D
e
t
e
r
m
i
n
i
n
g
t
h
e
e
f
f
e
c
t
s
o
f
mo
n
e
t
a
r
y
p
o
l
i
c
i
e
s
o
n
c
a
p
i
t
a
l
m
a
r
k
e
t
s
o
f
t
h
e
e
m
e
r
g
i
n
g
e
c
o
n
o
m
i
e
s
:
A
n
e
v
i
d
e
n
c
e
f
r
o
m
E
7
c
o
u
n
t
r
i
e
s
,
”
i
n
T
h
e
I
m
p
a
c
t
s o
f
Mo
n
e
t
a
ry
P
o
l
i
c
y
i
n
t
h
e
2
1
s
t
C
e
n
t
u
r
y
:
Pe
rs
p
e
c
t
i
v
e
s
f
ro
m
Em
e
rg
i
n
g
Ec
o
n
o
m
i
e
s
,
Emera
l
d
P
u
b
l
i
sh
i
n
g
Li
m
i
t
e
d
,
2
0
1
9
,
p
p
.
3
–
1
6
.
[
1
9
]
P
.
W
a
n
k
e
,
M
.
A
.
K
.
A
z
a
d
,
a
n
d
C
.
P
.
B
a
r
r
o
s,
“
Ef
f
i
c
i
e
n
c
y
f
a
c
t
o
r
s
i
n
O
E
C
D
b
a
n
k
s
:
A
t
e
n
-
y
e
a
r
a
n
a
l
y
si
s,
”
Ex
p
e
r
t
S
y
s
t
e
m
s
w
i
t
h
Ap
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
6
4
,
p
p
.
2
0
8
–
2
2
7
,
D
e
c
.
2
0
1
6
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
sw
a
.
2
0
1
6
.
0
7
.
0
2
0
.
[
2
0
]
K
.
M
a
n
d
i
c
,
B
.
D
e
l
i
b
a
s
i
c
,
S
.
K
n
e
z
e
v
i
c
,
a
n
d
S
.
B
e
n
k
o
v
i
c
,
“
A
n
a
l
y
s
i
s
o
f
t
h
e
f
i
n
a
n
c
i
a
l
p
a
r
a
m
e
t
e
r
s
o
f
S
e
r
b
i
a
n
b
a
n
k
s
t
h
r
o
u
g
h
t
h
e
a
p
p
l
i
c
a
t
i
o
n
o
f
t
h
e
f
u
z
z
y
A
H
P
a
n
d
TO
P
S
I
S
met
h
o
d
s,
”
Ec
o
n
o
m
i
c
M
o
d
e
l
l
i
n
g
,
v
o
l
.
4
3
,
p
p
.
3
0
–
3
7
,
D
e
c
.
2
0
1
4
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
e
c
o
n
m
o
d
.
2
0
1
4
.
0
7
.
0
3
6
.
[
2
1
]
J.
R
e
i
g
-
M
u
l
l
o
r
,
J.
M
.
B
r
o
t
o
n
s
-
M
a
r
t
i
n
e
z
,
a
n
d
M
.
E.
S
a
n
sa
l
v
a
d
o
r
-
S
e
l
l
e
s
,
“
A
n
o
v
e
l
a
p
p
r
o
a
c
h
t
o
i
mp
r
o
v
e
t
h
e
b
a
n
k
r
a
n
k
i
n
g
p
r
o
c
e
ss:
A
n
e
m
p
i
r
i
c
a
l
st
u
d
y
i
n
S
p
a
i
n
,
”
J
o
u
r
n
a
l
o
f
I
n
t
e
l
l
i
g
e
n
t
a
n
d
F
u
zzy
S
y
st
e
m
s
,
v
o
l
.
3
8
,
n
o
.
5
,
p
p
.
5
3
2
3
–
5
3
3
1
,
M
a
y
2
0
2
0
,
d
o
i
:
1
0
.
3
2
3
3
/
JI
F
S
-
1
7
9
6
2
6
.
[
2
2
]
J.
H
u
ssa
i
n
,
K
.
Zh
o
u
,
S
.
G
u
o
,
a
n
d
A
.
K
h
a
n
,
“
I
n
v
e
st
m
e
n
t
r
i
s
k
a
n
d
n
a
t
u
r
a
l
r
e
so
u
r
c
e
p
o
t
e
n
t
i
a
l
i
n
‘
B
e
l
t
& R
o
a
d
I
n
i
t
i
a
t
i
v
e
’
c
o
u
n
t
r
i
e
s:
A
mu
l
t
i
-
c
r
i
t
e
r
i
a
d
e
c
i
si
o
n
-
m
a
k
i
n
g
a
p
p
r
o
a
c
h
,
”
S
c
i
e
n
c
e
o
f
t
h
e
T
o
t
a
l
En
v
i
ro
n
m
e
n
t
,
v
o
l
.
7
2
3
,
p
.
1
3
7
9
8
1
,
J
u
n
.
2
0
2
0
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
sc
i
t
o
t
e
n
v
.
2
0
2
0
.
1
3
7
9
8
1
.
[
2
3
]
L.
W
.
H
o
e
,
L.
W
.
S
i
e
w
,
a
n
d
L.
K
.
F
a
i
,
“
P
e
r
f
o
r
ma
n
c
e
a
n
a
l
y
si
s
o
n
t
e
l
e
c
o
mm
u
n
i
c
a
t
i
o
n
c
o
m
p
a
n
i
e
s
i
n
M
a
l
a
y
si
a
w
i
t
h
TO
P
S
I
S
mo
d
e
l
,
”
I
n
d
o
n
e
si
a
n
J
o
u
r
n
a
l
o
f
El
e
c
t
ri
c
a
l
En
g
i
n
e
e
ri
n
g
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
,
v
o
l
.
1
3
,
n
o
.
2
,
p
p
.
7
4
4
–
7
5
1
,
F
e
b
.
2
0
1
9
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
e
e
c
s.
v
1
3
.
i
2
.
p
p
7
4
4
-
7
5
1
.
[
2
4
]
M
.
M
.
A
l
a
m
,
H
.
W
e
i
,
a
n
d
A
.
N
.
M
.
W
a
h
i
d
,
“
C
O
V
I
D
-
1
9
o
u
t
b
r
e
a
k
a
n
d
se
c
t
o
r
a
l
p
e
r
f
o
r
ma
n
c
e
o
f
t
h
e
A
u
st
r
a
l
i
a
n
st
o
c
k
mar
k
e
t
:
A
n
e
v
e
n
t
st
u
d
y
a
n
a
l
y
s
i
s,
”
A
u
s
t
ra
l
i
a
n
E
c
o
n
o
m
i
c
Pa
p
e
r
s
,
v
o
l
.
6
0
,
n
o
.
3
,
p
p
.
4
8
2
–
4
9
5
,
S
e
p
.
2
0
2
1
,
d
o
i
:
1
0
.
1
1
1
1
/
1
4
67
-
8
4
5
4
.
1
2
2
1
5
.
[
2
5
]
K
.
Y
o
n
g
-
M
i
n
g
Le
e
,
M
.
Ja
i
s,
a
n
d
C
.
-
W
.
C
h
a
n
,
“
I
mp
a
c
t
o
f
C
o
v
i
d
-
1
9
:
Ev
i
d
e
n
c
e
f
r
o
m
M
a
l
a
y
s
i
a
n
S
t
o
c
k
M
a
r
k
e
t
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
Bu
s
i
n
e
ss
a
n
d
S
o
c
i
e
t
y
,
v
o
l
.
2
1
,
n
o
.
2
,
p
p
.
6
0
7
–
6
2
8
,
Ju
l
.
2
0
2
0
,
d
o
i
:
1
0
.
3
3
7
3
6
/
i
j
b
s
.
3
2
7
4
.
2
0
2
0
.
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
Fa
r
a
h
W
a
h
e
e
d
a
Az
h
a
r
re
c
e
iv
e
d
h
e
r
Ba
c
h
e
lo
r’s De
g
re
e
in
M
a
th
e
m
a
ti
c
s
a
n
d
M
S
c
o
f
S
c
ien
c
e
i
n
M
a
t
h
e
m
a
ti
c
s
fro
m
Un
iv
e
rsiti
Tek
n
o
l
o
g
i
M
AR
A
(UiTM
)
a
n
d
U
n
iv
e
rsiti
Ke
b
a
n
g
sa
a
n
M
a
lay
sia
in
2
0
0
8
a
n
d
2
0
1
0
,
re
sp
e
c
ti
v
e
ly
.
S
h
e
is
n
o
w
a
Lec
tu
re
r
a
t
th
e
F
a
c
u
lt
y
o
f
Co
m
p
u
ter
a
n
d
M
a
th
e
m
a
ti
c
a
l
S
c
ien
c
e
s,
Un
iv
e
rsiti
Tek
n
o
lo
g
i
M
A
RA
(UiTM
)
P
e
ra
k
Ca
m
p
u
s.
He
r
m
a
in
re
se
a
rc
h
a
re
a
s
li
e
in
th
e
a
re
a
o
f
M
a
th
e
m
a
ti
c
s
.
Sh
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
fa
ra
h
1
5
4
@
u
it
m
.
e
d
u
.
m
y
.
Za
ti
H
a
lw
a
n
i
Abd
R
a
h
i
m
is
c
u
rre
n
tl
y
a
lec
tu
re
r
a
t
th
e
F
a
c
u
l
ty
o
f
C
o
m
p
u
ter
a
n
d
M
a
th
e
m
a
ti
c
a
l
S
c
ien
c
e
s,
Un
i
v
e
rsit
i
Tek
n
o
l
o
g
i
M
ARA
(UiTM
)
P
e
r
a
k
Ca
m
p
u
s.
S
h
e
c
o
m
p
lete
d
h
e
r
M
S
c
o
f
S
c
ien
c
e
in
M
a
th
e
m
a
ti
c
s
fro
m
Un
iv
e
rsiti
Ke
b
a
n
g
sa
a
n
M
a
lay
sia
.
S
h
e
e
a
rn
e
d
a
Ba
c
h
e
lo
r’s
De
g
re
e
in
M
a
n
a
g
e
m
e
n
t
M
a
th
e
m
a
ti
c
s
a
n
d
a
Dip
lo
m
a
in
Qu
a
n
ti
tat
iv
e
S
c
ien
c
e
a
t
Un
iv
e
rsiti
Tek
n
o
l
o
g
i
M
ARA
(
UiTM
).
He
r
a
re
a
o
f
in
tere
st
is
M
a
th
e
m
a
ti
c
s
.
Sh
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
z
a
ti
6
1
4
1
@u
it
m
.
e
d
u
.
m
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
3
,
Ma
r
ch
20
22
:
1
7
2
3
-
1
7
3
0
1730
No
r
a
sy
ik
i
n
Abd
u
ll
a
h
Fa
h
a
m
i
o
b
tain
e
d
h
e
r
M
.
S
c
d
e
g
re
e
in
F
i
n
a
n
c
e
fro
m
In
tern
a
ti
o
n
a
l
Isla
m
ic
Un
i
v
e
rsity
(
IIUM
),
Ku
ll
iy
y
a
h
o
f
Eco
n
o
m
ics
&
M
a
n
a
g
e
m
e
n
t
S
c
ien
c
e
s,
in
2
0
0
9
.
P
rio
r
to
th
a
t,
sh
e
g
o
t
h
e
r
B
a
c
h
e
lo
r'
s
d
e
g
re
e
in
F
in
a
n
c
e
a
n
d
Dip
lo
m
a
in
Bu
si
n
e
ss
S
tu
d
ies
fro
m
UiTM
.
S
h
e
a
lso
u
se
d
to
b
e
a
c
re
d
it
a
n
a
ly
st
in
o
n
e
o
f
t
h
e
larg
e
st
fin
a
n
c
ial
in
stit
u
ti
o
n
s
in
M
a
lay
sia
.
S
h
e
is
c
u
rre
n
tl
y
a
S
e
n
i
o
r
Lec
tu
re
r
with
th
e
Bu
si
n
e
ss
M
a
n
a
g
e
m
e
n
t
De
p
a
rtme
n
t
a
t
th
e
UiTM
P
e
ra
k
Ca
m
p
u
s.
He
r
c
u
r
re
n
t
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
b
e
h
a
v
i
o
ra
l
fin
a
n
c
e
,
c
a
p
it
a
l
m
a
rk
e
t,
e
sp
e
c
ially
th
e
st
o
c
k
m
a
rk
e
t
.
Sh
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
sy
ik
i
n
1
0
9
@
u
it
m
.
e
d
u
.
m
y
.
S
iti
K
h
a
tija
h
N
o
r
Abd
u
l
R
a
h
i
m
is
a
S
e
n
io
r
Lec
tu
re
r
a
t
t
h
e
F
a
c
u
lt
y
o
f
C
o
m
p
u
ter
a
n
d
M
a
th
e
m
a
ti
c
a
l
S
c
ien
c
e
s,
Un
i
v
e
rsiti
Te
k
n
o
lo
g
i
M
ARA
,
S
h
a
h
Ala
m
S
e
lan
g
o
r
.
S
h
e
g
a
in
e
d
h
e
r
P
h
.
D.
in
Co
m
p
u
ter
S
c
ien
c
e
f
ro
m
th
e
Un
i
v
e
rsity
o
f
N
o
tt
i
n
g
h
a
m
in
2
0
1
5
.
Be
fo
re
th
a
t,
sh
e
re
c
e
iv
e
d
h
e
r
Ba
c
h
e
lo
r’s
De
g
re
e
in
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
M
S
c
o
f
S
c
ien
c
e
(Co
m
p
u
ter
S
c
ien
c
e
)
fro
m
Un
iv
e
rsiti
S
a
in
s
M
a
lay
sia
(
USM
),
P
e
n
a
n
g
,
M
a
lay
sia
,
i
n
2
0
0
1
a
n
d
2
0
0
3
,
re
sp
e
c
ti
v
e
ly
.
He
r
m
a
in
re
se
a
rc
h
a
re
a
s
li
e
in
th
e
a
re
a
o
f
Co
m
p
u
tati
o
n
a
l
In
telli
g
e
n
c
e
,
G
ra
n
u
lar
Co
m
p
u
ti
n
g
,
S
c
h
e
d
u
l
in
g
,
Op
t
imiz
a
ti
o
n
,
a
n
d
Ap
p
li
e
d
Co
m
p
u
ti
n
g
.
Sh
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
siti
k
7
8
1
@
u
it
m
.
e
d
u
.
m
y
.
H
il
wa
n
a
Abd
K
a
r
i
m
is
a
se
n
io
r
lec
tu
re
r
a
t
th
e
F
a
c
u
lt
y
o
f
Bu
sin
e
ss
a
n
d
M
a
n
a
g
e
m
e
n
t,
Un
i
v
e
rsity
Tec
h
n
o
lo
g
y
M
ARA
Ne
g
e
ri
S
e
m
b
il
a
n
Bra
n
c
h
,
S
e
re
m
b
a
n
c
a
m
p
u
s
.
S
h
e
o
b
tain
e
d
a
M
a
ste
r
in
B
u
sin
e
ss
Ad
m
in
istratio
n
(Org
a
n
i
z
a
ti
o
n
M
a
n
a
g
e
m
e
n
t)
fr
o
m
Un
iv
e
rsiti
Ke
b
a
n
g
sa
a
n
M
a
lay
sia
in
2
0
1
0
a
n
d
a
Ba
c
h
e
lo
r
(Ho
n
s)
o
f
Bu
sin
e
ss
Ad
m
in
istrati
o
n
(In
tern
a
ti
o
n
a
l
B
u
sin
e
ss
)
fro
m
U
n
iv
e
rsity
Tec
h
n
o
lo
g
y
M
ARA
in
2
0
0
8
.
He
r
re
se
a
rc
h
a
re
a
s
a
re
e
n
trep
re
n
e
u
rsh
ip
,
Org
a
n
iza
ti
o
n
M
a
n
a
g
e
m
e
n
t
a
n
d
Hu
m
a
n
re
so
u
r
c
e
s
.
Sh
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
h
il
wa
n
a
2
5
0
@u
i
tm.e
d
u
.
m
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.