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s
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Dem
p
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ter
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s
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E
x
p
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t sy
s
tem
Hajj
an
d
u
m
r
a
h
ME
R
S
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C
o
V
T
h
is i
s
a
n
o
p
e
n
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c
c
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ss
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rticle
u
n
d
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e
CC B
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SA
li
c
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n
se
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C
o
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r
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s
p
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ing
A
uth
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r
:
Me
m
en
Ak
b
ar
Dep
ar
tm
en
t o
f
I
n
f
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m
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T
e
ch
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lo
g
y
,
Po
litek
n
i
k
C
altex
R
iau
J
l.
Um
b
an
Sar
i N
o
.
1
R
u
m
b
ai,
Pek
an
b
ar
u
–
R
iau
2
8
2
6
5
,
I
n
d
o
n
esia
E
m
ail:
m
em
en
@
p
cr
.
ac
.
id
1.
I
NT
RO
D
UCT
I
O
N
In
2
0
1
2
,
Mid
d
le
E
ast
R
e
s
p
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ato
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y
S
y
n
d
r
o
m
e
-
C
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r
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n
av
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s
(
ME
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S
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C
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V)
f
o
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th
e
f
ir
s
t
tim
e
r
ep
o
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ted
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n
Sau
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Ar
ab
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ter
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2
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ME
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s
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th
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Aljaza
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s
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Fro
m
2
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2
.
1
4
4
M
E
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s
es
r
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ted
in
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ed
7
5
0
d
ea
t
h
[
1
]
.
I
n
I
n
d
o
n
esia
ME
R
S
-
C
o
V
co
m
in
g
f
r
o
m
Hajj
a
n
d
Um
r
ah
p
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r
im
s
.
I
n
2
5
Au
g
u
s
t
2
0
1
4
m
an
y
p
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p
le
wh
o
wen
t
to
Hajj
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d
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m
r
ah
wer
e
in
f
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ted
with
th
e
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ir
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s
,
1
3
6
s
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s
p
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t
s
co
m
e
f
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m
2
0
p
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ce
s
,
s
u
ch
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W
est
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m
atr
a,
R
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,
J
am
b
i,
W
est
J
av
a,
DKI
J
ak
ar
ta,
B
ali,
an
d
o
th
er
p
r
o
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ce
s
.
T
h
er
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ar
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two
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n
d
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n
esian
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s
itiv
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ly
in
f
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ted
ME
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d
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t
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ied
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Um
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6
9
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.
6
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2
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t
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m
th
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p
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ev
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r
[
2
]
.
Fr
o
m
th
e
d
ata,
th
e
p
o
s
s
ib
ilit
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f
th
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p
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p
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with
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m
b
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p
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p
le
wh
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wen
t
o
n
Hajj
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d
Um
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ah
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
2
5
2
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8
7
7
6
I
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n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
10
,
No
.
1,
A
p
r
il
20
21
:
19
–
26
20
B
ased
o
n
th
e
r
esu
lt o
f
th
e
in
te
r
v
iew
with
D
r
.
Aziz
m
an
Saad
,
Sp
.
P(K
)
,
FISR
,
o
b
tain
ed
an
in
f
o
r
m
atio
n
th
at
cu
r
r
e
n
tly
m
an
y
p
eo
p
le
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o
n
o
t
k
n
o
w
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o
u
t
ME
R
S
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C
o
V
s
y
m
p
to
m
s
b
ec
a
u
s
e
th
e
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is
ea
s
e
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s
im
ilar
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s
ev
e
r
e
f
lu
.
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th
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tim
e,
p
eo
p
le
ar
e
n
o
t
awa
r
e
of
ME
R
S
-
C
o
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y
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p
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m
s
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p
le
ar
e
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elu
ctan
t
to
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ee
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d
o
cto
r
wh
en
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r
e
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ick
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ter
r
et
u
r
n
in
g
f
r
o
m
Um
r
a
h
o
r
Hajj
d
u
e
to
lim
ited
co
s
ts
an
d
tim
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.
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h
e
h
an
d
lin
g
b
ec
o
m
es
late
an
d
ca
n
lead
to
d
ea
th
.
B
ased
o
n
th
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p
r
o
b
lem
s
,
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ex
p
er
t
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y
s
tem
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o
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d
iag
n
o
s
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E
R
S
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C
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V
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s
n
ee
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ed
.
T
h
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ex
p
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t
s
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s
to
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u
m
an
k
n
o
wled
g
e
s
o
t
h
at
th
e
co
m
p
u
ter
c
an
r
eso
lv
e
ex
is
tin
g
p
r
o
b
lem
s
as
ex
p
e
r
ts
d
o
[
3
]
.
A
n
e
x
p
er
t
s
y
s
tem
is
an
o
th
er
alte
r
n
ativ
e
to
d
iag
n
o
s
e
ME
R
S
-
C
o
V
with
o
u
t
h
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in
g
d
ir
ec
t
co
n
s
u
ltatio
n
with
th
e
d
o
cto
r
an
d
lab
ch
ec
k
.
D
r
.
Aziz
m
an
Saa
d
,
Sp
.
P
(
K)
,
FISR
also
s
tat
ed
th
at
th
e
s
y
s
tem
h
elp
s
a
p
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s
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n
in
d
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n
o
s
in
g
ME
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C
o
V
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ef
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r
e
co
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s
u
ltin
g
with
a
d
o
cto
r
.
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h
e
ex
p
e
r
t
s
y
s
tem
is
b
u
ilt
t
o
d
iag
n
o
s
e
ME
R
S
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C
o
V.
I
n
th
is
ca
s
e,
th
e
ex
p
er
t
s
y
s
tem
u
s
ed
th
e
Dem
p
s
ter
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Sh
af
er
m
eth
o
d
.
De
m
p
s
ter
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Sh
af
er
m
eth
o
d
is
ch
o
s
en
b
ased
o
n
th
e
s
tu
d
y
o
f
liter
atu
r
e
b
elo
n
g
s
to
[
4
,
5
]
wh
ich
s
tate
d
th
at
th
e
tech
n
i
q
u
e
is
m
o
r
e
ap
p
r
o
p
r
iately
ap
p
l
ied
in
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n
o
s
in
g
d
is
ea
s
e
.
T
h
i
s
m
eth
o
d
is
u
s
ed
to
f
in
d
th
e
p
r
o
o
f
s
b
ased
o
n
b
elief
f
u
n
ctio
n
an
d
p
lau
s
ib
le
r
e
aso
n
in
g
u
s
ed
b
y
co
m
b
in
in
g
s
ep
ar
ate
p
iece
s
o
f
in
f
o
r
m
atio
n
(
ev
id
e
n
ce
)
to
ca
lc
u
late
th
e
p
o
s
s
ib
ilit
y
o
f
a
d
is
r
u
p
tio
n
.
Nex
t
s
ec
tio
n
o
f
th
is
p
a
p
er
d
is
cu
s
s
e
s
ab
o
u
t
liter
atu
r
e
r
ev
iew
th
at
co
n
s
is
t
o
f
p
r
e
v
io
u
s
s
tu
d
ies
an
d
s
o
m
e
o
f
in
f
o
r
m
atio
n
a
b
o
u
t
ME
R
S
-
C
o
V
an
d
Dem
p
s
ter
-
Sh
af
er
.
Sy
s
tem
d
esig
n
,
th
e
i
m
p
lem
en
tatio
n
in
s
o
u
r
ce
co
d
e,
an
d
th
e
test
in
g
will
b
e
ex
p
lain
ed
in
Sectio
n
3
an
d
4
.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
2
.
1
.
P
re
v
io
u
s
S
t
ud
ies
R
esear
ch
co
n
d
u
cte
d
b
y
I
s
tiq
o
m
ah
(
2
0
1
3
)
d
esig
n
ed
a
n
e
x
p
e
r
t
s
y
s
tem
f
o
r
d
iag
n
o
s
in
g
d
is
ea
s
es
o
f
th
e
g
astro
in
test
in
al
tr
ac
t
u
s
in
g
t
h
e
Dem
p
s
ter
-
Sh
af
er
m
eth
o
d
[
4
]
.
T
h
e
s
y
s
tem
is
a
d
esk
to
p
-
b
ased
ap
p
licatio
n
wh
er
e
th
e
u
s
er
s
elec
ts
th
e
p
er
ce
iv
ed
s
y
m
p
to
m
s
a
n
d
th
e
s
y
s
tem
s
h
o
ws
th
e
r
esu
lts
n
am
e
o
f
th
e
d
is
ea
s
e
,
th
e
p
r
o
b
a
b
ilit
y
,
an
d
th
e
s
u
g
g
este
d
tr
ea
tm
en
t
to
u
s
er
s
.
T
h
e
o
th
er
ea
r
lier
r
esear
ch
co
n
d
u
cted
b
y
Ku
s
u
m
a
(
2
0
1
5
)
d
esig
n
ed
an
ex
p
er
t
s
y
s
tem
th
at
p
er
f
o
r
m
ed
lu
n
g
d
is
ea
s
e
d
iag
n
o
s
is
u
s
in
g
C
ase
-
B
a
s
ed
R
ea
s
o
n
in
g
m
eth
o
d
[
6
]
.
T
h
e
s
y
s
tem
is
also
a
d
esk
to
p
-
b
ased
ap
p
licatio
n
wh
er
e
th
e
u
s
er
s
elec
t
s
th
e
p
er
ce
iv
ed
s
y
m
p
to
m
s
an
d
t
h
e
o
u
tp
u
t
i
s
th
e
n
am
e
o
f
th
e
d
is
ea
s
e
,
p
r
o
b
ab
ilit
y
,
ca
u
s
es,
an
d
s
u
g
g
e
s
ted
tr
ea
tm
en
t
to
u
s
er
s
.
R
ese
ar
ch
co
n
d
u
cted
b
y
L
esm
an
a
(
2
0
1
5
)
d
esig
n
ed
a
n
ex
p
er
t
s
y
s
tem
f
o
r
th
e
d
ia
g
n
o
s
is
o
f
p
atien
ts
in
f
ec
ted
with
M
E
R
S
-
C
o
V
[
7
]
.
T
h
is
s
y
s
tem
is
a
web
-
b
ased
a
p
p
lica
tio
n
u
s
in
g
f
o
r
war
d
ch
ain
i
n
g
alg
o
r
ith
m
.
T
h
e
o
u
tp
u
t
o
f
th
e
s
y
s
tem
r
esu
lts
in
th
e
f
o
r
m
o
f
th
e
d
is
ea
s
e
n
am
e
an
d
s
u
g
g
ested
tr
ea
tm
en
t
p
r
o
v
id
e
d
to
u
s
er
s.
R
esear
ch
co
n
d
u
cted
b
y
Ma
r
li
n
a
(
2
0
1
7
)
d
esig
n
e
d
an
ap
p
lic
atio
n
o
f
r
esp
ir
ato
r
y
d
is
ea
s
es
d
iag
n
o
s
is
ex
p
er
t
s
y
s
tem
-
s
p
ee
ch
r
ec
o
g
n
itio
n
b
ased
u
s
in
g
Naiv
e
B
ay
es
C
la
s
s
if
ier
[
8
]
.
T
h
e
s
y
s
tem
is
a
m
o
b
ile
-
b
ased
ap
p
licatio
n
wh
ic
h
th
e
u
s
er
s
p
ea
k
s
to
a
m
o
b
ile
p
h
o
n
e
to
d
et
ec
t
th
e
d
is
ea
s
e.
T
h
e
o
u
tp
u
t
o
f
th
is
s
y
s
tem
is
th
e
n
am
e
o
f
t
h
e
d
is
ea
s
e
an
d
th
e
p
r
o
b
ab
ilit
y
.
R
esear
ch
co
n
d
u
cte
d
b
y
B
ad
r
i
y
ah
(
2
0
1
7
)
d
esig
n
e
d
an
ex
p
er
t
s
y
s
tem
to
d
iag
n
o
s
e
lu
n
g
d
is
ea
s
es
u
s
in
g
C
er
tain
ty
Facto
r
m
eth
o
d
i
n
p
u
b
lic
h
ea
lth
C
itan
g
k
il
[
9
]
.
T
h
e
s
y
s
tem
is
web
-
b
ased
ap
p
licatio
n
wh
er
e
th
e
u
s
er
wo
u
ld
ch
o
o
s
e
th
e
s
y
m
p
t
o
m
s
th
ey
h
av
e
.
T
h
e
o
u
tp
u
t
o
f
th
is
s
y
s
tem
is
th
e
n
am
e
o
f
t
h
e
d
esease
,
p
r
o
b
ab
ili
ty
,
an
d
th
e
s
u
g
g
ested
tr
ea
tm
en
t
.
Sev
er
al
s
tu
d
ies ad
d
r
ess
th
e
s
p
ec
if
ics o
f
ME
R
S
-
C
o
V
d
is
ea
s
e
.
R
esear
ch
co
n
d
u
cted
b
y
Yo
n
g
(
2
0
1
5
)
d
is
cu
s
s
es
th
e
m
ath
em
atica
l m
o
d
el
o
f
t
h
e
s
p
r
ea
d
o
f
ME
R
S
-
C
o
V
in
I
n
d
o
n
esia
[
1
0
]
.
T
h
e
s
tu
d
y
co
n
d
u
cte
d
b
y
Z
an
g
(
2
0
1
4
)
d
is
cu
s
s
ed
th
e
s
tr
ateg
y
o
f
d
ev
elo
p
in
g
v
ac
cin
es
to
p
atien
ts
[
1
1
]
.
T
h
e
s
tu
d
y
co
n
d
u
cted
b
y
M
o
m
a
tt
in
(2
0
1
3
)
d
is
c
u
s
s
ed
th
e
th
er
ap
y
th
at
ME
R
S
-
C
o
V
p
atien
ts
s
h
o
u
ld
p
er
f
o
r
m
[
1
2
]
.
Me
an
w
h
ile,
a
s
tu
d
y
co
n
d
u
cted
b
y
Dj
o
g
e
(
2
0
1
8
)
m
ad
e
an
ap
p
licatio
n
d
esig
n
t
o
d
iag
n
o
s
e
ME
R
S
-
C
o
V
d
is
ea
s
e
wh
ich
was a
p
p
lied
to
PUSKESMA
S
[
1
3
]
.
2
.
2
.
M
E
RS
-
Co
V
ME
R
S
-
C
o
V
s
tan
d
s
f
o
r
Mid
d
le
E
ast
R
esp
ir
a
to
r
y
Sy
n
d
r
o
m
e
-
C
o
r
o
n
av
ir
u
s
.
T
h
is
v
ir
u
s
is
a
n
ew
ty
p
e
o
f
C
o
r
o
n
av
ir
u
s
Gr
o
u
p
(
No
v
el
C
o
r
o
n
av
ir
u
s
)
.
T
h
e
v
ir
u
s
was
f
ir
s
t
r
ep
o
r
ted
in
Ma
r
c
h
2
0
1
2
in
Sau
d
i
Ar
ab
ia.
SAR
S
v
ir
u
s
is
also
a
C
o
r
o
n
av
ir
u
s
g
r
o
u
p
a
n
d
ca
n
ca
u
s
e
s
ev
er
e
p
n
e
u
m
o
n
ia
b
u
t
d
if
f
er
s
f
r
o
m
ME
R
S
-
C
o
V.
ME
R
S
-
C
o
V
is
a
r
esp
ir
ato
r
y
s
y
n
d
r
o
m
e
d
is
ea
s
e
ca
u
s
ed
b
y
a
co
r
o
n
a
v
ir
u
s
t
h
at
attac
k
s
th
e
r
esp
ir
at
o
r
y
tr
ac
t
r
an
g
in
g
f
r
o
m
m
ild
to
s
ev
er
e.
T
h
e
s
y
m
p
to
m
s
ar
e
f
ev
er
,
co
u
g
h
,
a
n
d
s
h
o
r
tn
ess
o
f
b
r
ea
th
.
U
s
u
ally
,
th
e
p
atien
t
h
as
th
e
d
is
ea
s
e
o
f
m
o
r
b
id
-
k
o
.
T
h
e
m
ed
ian
ag
e
was
4
9
.
5
y
ea
r
s
(
r
an
g
e
2
-
9
4
y
ea
r
s
)
.
6
4
%
o
f
t
h
e
ca
s
es
ar
e
m
en
.
ME
R
S
-
C
o
V
h
as
th
r
ee
lev
els o
f
in
f
ec
tio
n
,
i.e
.
th
e
Stag
e
1
,
Stag
e
2
,
an
d
Stag
e
3
[1
4
]
.
2
.
3
.
De
m
ps
t
er
-
s
ha
f
er
M
et
ho
d
Dem
p
s
ter
-
Sh
af
er
th
eo
r
y
was
f
ir
s
t
in
tr
o
d
u
ce
d
b
y
Ar
th
u
r
P
.
Dem
p
s
ter
an
d
Glen
n
Sh
af
er
.
T
h
is
ap
p
r
o
ac
h
ex
p
e
r
im
en
tin
g
with
u
n
ce
r
tain
ty
r
an
g
e
p
r
o
b
ab
ilit
ies
r
ath
er
th
an
as
a
s
in
g
le
p
r
o
b
a
b
ilit
y
.
I
n
th
e
1
9
7
6
,
Sh
af
er
p
u
b
lis
h
ed
th
e
th
eo
r
y
o
f
Dem
p
s
ter
in
th
e
b
o
o
k
en
titl
ed
Ma
th
em
atica
l
T
h
e
o
r
y
o
f
E
v
id
en
t.
Dem
p
s
ter
-
Sh
af
er
th
eo
r
y
is
a
m
ath
em
atic
al
th
eo
r
y
o
f
ev
i
d
en
ce
.
T
h
e
ap
p
r
o
ac
h
ca
n
p
r
o
v
id
e
a
way
to
co
m
b
in
e
th
e
ev
id
en
ce
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
Dia
g
n
o
s
in
g
MER
S
-
C
o
V
u
s
in
g
d
emp
s
ter
-
s
h
a
fer me
th
o
d
(
Memen
A
kb
a
r
)
21
f
r
o
m
s
ev
er
al
s
o
u
r
ce
s
an
d
b
r
in
g
o
r
g
iv
e
th
e
tr
u
s
t
lev
el
(
r
e
p
r
e
s
en
ted
th
r
o
u
g
h
b
elief
s
f
u
n
ctio
n
)
wh
ich
t
o
o
k
f
r
o
m
all
av
ailab
le
ev
id
en
ce
[1
5
]
.
Gen
er
al
wr
itin
g
o
f
b
elief
s
f
u
n
ctio
n
an
d
p
lau
s
ib
ilit
y
s
h
o
wn
a
s
f
o
llo
w
:
-
B
elief
(
B
el)
is
a
m
ea
s
u
r
e
o
f
th
e
s
tr
en
g
th
o
f
t
h
e
ev
id
e
n
ce
in
s
u
p
p
o
r
t
o
f
a
s
et
o
f
p
r
o
p
o
s
itio
n
s
.
I
f
B
el
=
0
th
en
th
e
v
alu
e
in
d
icate
s
th
at
th
er
e
i
s
n
o
ev
id
en
ce
,
an
d
if
B
el
=
1
i
n
d
icate
s
th
e
p
r
esen
ce
o
f
ce
r
tai
n
ty
.
-
P
la
u
s
ib
ilit
y
(P
l
)
n
o
tatio
n
as
P
l(
s
)
=
1
-
B
el(
⌐s)
.
Plau
s
ib
ilit
y
v
alu
e
is
also
r
an
g
i
n
g
f
r
o
m
0
to
1
.
I
f
we
ar
e
s
u
r
e
⌐s,
th
en
it c
an
b
e
s
aid
th
a
t “
B
el(
⌐
s
)
=
0
”.
On
Dem
p
s
ter
-
Sh
af
er
th
eo
r
y
,
t
h
e
f
r
am
e
o
f
th
e
d
e
cr
em
en
t
n
o
t
atio
n
is
θ.
T
h
is
f
r
am
e
is
th
e
u
n
iv
er
s
e
s
et
f
r
o
m
th
e
s
et
o
f
h
y
p
o
th
es
i
s
.
T
h
e
aim
is
to
ass
o
ciate
th
e
s
iz
e
o
f
tr
u
s
t
e
lem
en
ts
o
f
θ.
No
t
all
o
f
th
e
ev
id
en
c
e
d
ir
ec
tly
s
u
p
p
o
r
tin
g
ea
ch
elem
en
t.
T
h
er
ef
o
r
e,
th
e
p
r
esen
ce
o
f
th
e
p
r
o
b
a
b
ilit
y
d
en
s
ity
f
u
n
cti
o
n
(
m
)
is
n
ec
ess
ar
y
.
T
h
e
v
alu
e
o
f
m
is
n
o
t
o
n
ly
d
e
f
in
in
g
elem
en
ts
o
f
θ,
b
u
t
also
all
o
f
its
s
u
b
s
ets.
So
if
θ
co
n
tai
n
s
n
elem
en
t
s
,
th
en
s
u
b
s
et
o
f
θ
is
2
n
.
T
h
e
n
u
m
b
e
r
o
f
all
m
in
s
u
b
s
et
o
f
θ
is
eq
u
a
l
to
1
.
I
f
t
h
er
e
is
n
o
in
f
o
r
m
atio
n
to
d
ete
r
m
in
e
th
e
h
y
p
o
th
esis
,
th
en
th
e
v
alu
e
of
m
{θ
}
=
1
.
0.
I
f
X
is
s
u
b
s
et
o
f
θ,
with
f
u
n
ctio
n
o
f
th
e
d
en
s
ity
m
1
,
a
n
d
Y
is
also
a
s
u
b
s
et
o
f
θ
with
f
u
n
cti
o
n
o
f
th
e
d
en
s
ity
m
2
,
th
e
n
th
e
co
m
b
in
atio
n
f
u
n
ctio
n
o
f
m
1
an
d
m
2
s
h
o
wn
in
(
1
)
.
3
(
)
=
∑
1
(
)
.
2
(
)
⋂
=
1
−
(
1
)
with
=
∑
1
(
)
.
2
(
)
⋂
=
∅
,
is
to
tal
o
f
ev
id
en
tial c
o
n
f
lict
.
3.
SYST
E
M
DE
SI
G
N
3
.
1
.
E
x
pert
K
no
wledg
e
a
nd
I
nfe
re
nce
E
ng
ine
T
h
er
e
ar
e
two
co
m
p
o
n
en
ts
in
d
ev
elo
p
in
g
an
ex
p
e
r
t
s
y
s
tem
,
i.e
.
ex
p
er
t
k
n
o
wled
g
e
an
d
in
f
er
en
ce
en
g
in
e.
T
h
e
ex
p
er
t
k
n
o
wled
g
e
is
m
ad
e
in
th
e
f
o
r
m
o
f
a
d
is
ea
s
e
d
ec
is
io
n
tab
le.
Desig
n
o
f
t
h
e
d
is
ea
s
e
d
ec
is
io
n
tab
le
ca
n
b
e
s
ee
n
in
T
ab
le
1
.
T
h
is
d
ec
is
io
n
tab
le
is
o
b
tain
ed
f
r
o
m
p
u
lm
o
n
ar
y
s
p
ec
ialis
t,
n
am
ed
Dr
.
Aziz
m
an
Saad
,
Sp
.
P (
K)
,
FISR
.
T
ab
le
1
.
T
h
e
d
ec
is
io
n
o
f
th
e
D
is
ea
s
e
b
ased
o
n
s
y
m
p
to
m
s
an
d
th
e
v
alu
e
S
y
mp
t
o
ms
N
u
mb
e
r
S
y
mp
t
o
ms N
a
m
e
M
E
R
S
-
C
o
V
S
t
a
g
e
L
e
v
e
l
D
e
n
si
t
y
V
a
l
u
e
(
m)
S
t
1
S
t
2
S
t
3
G
1
D
r
y
c
o
u
g
h
✓
✓
0
.
2
5
G
2
C
o
u
g
h
w
i
t
h
p
h
l
e
g
m
✓
✓
0
.
7
G
3
F
lu
✓
✓
0
.
4
G
4
S
e
v
e
r
e
f
l
u
✓
0
.
7
5
G
5
S
o
r
e
T
h
r
o
a
t
✓
✓
0
.
3
5
G
6
F
e
e
l
so
m
e
t
h
i
n
g
s
t
u
c
k
i
n
t
h
r
o
a
t
✓
0
.
2
5
G
7
I
t
c
h
y
t
h
r
o
a
t
✓
0
.
3
5
G
8
H
ead
a
c
h
e
✓
✓
0
.
4
G
9
C
h
e
st
t
i
g
h
t
n
e
ss
✓
0
.
9
G
10
R
e
t
u
r
n
i
n
g
f
r
o
m
mi
d
d
l
e
e
a
s
t
i
n
l
a
st
2
w
e
e
k
s
✓
✓
0
.
9
G
11
D
i
f
f
i
c
u
l
t
t
o
t
a
k
e
a
d
e
e
p
b
r
e
a
t
h
✓
0
.
8
5
G
12
H
i
g
h
h
e
a
r
t
r
a
t
e
✓
0
.
3
G
13
D
u
r
i
n
g
t
h
e
d
a
y
t
h
e
b
o
d
y
f
e
e
l
s
si
c
k
✓
0
.
5
G
14
F
e
v
e
r
c
o
mes
a
n
d
g
o
e
s
✓
✓
0
.
8
G
15
F
e
v
e
r
✓
0
.
7
G
16
H
i
g
h
f
e
v
e
r
(>
39
º)
✓
0
.
9
5
G
17
B
o
d
y
t
e
m
p
e
r
a
t
u
r
e
i
s
h
i
g
h
a
t
n
i
g
h
t
a
n
d
l
o
w
a
t
d
a
y
✓
0
.
7
T
h
e
in
f
e
r
en
ce
e
n
g
in
e
o
f
th
e
s
y
s
tem
ap
p
lies
th
e
Dem
p
s
ter
-
Sh
af
er
ap
p
r
o
ac
h
.
T
h
e
in
f
er
en
ce
en
g
in
e
u
s
ed
is
ex
p
lain
e
d
b
y
th
e
f
o
ll
o
win
g
e
x
am
p
le.
Su
p
p
o
s
e
th
er
e
ar
e
t
h
r
ee
s
y
m
p
to
m
s
f
elt
b
y
p
atien
ts
,
i.e
.
:
s
o
r
e
t
h
r
o
at
(
G5
)
,
t
h
e
c
h
est
tig
h
tn
ess
(
G9
)
,
an
d
f
ev
er
(
G
1
5
)
.
B
ased
o
n
th
o
s
e
ca
s
es,
th
en
t
h
e
Dem
p
s
ter
-
Sh
af
er
m
eth
o
d
ca
lcu
latio
n
is
ap
p
lied
t
o
g
et
th
e
lar
g
est p
o
s
s
ib
ilit
y
o
f
th
e
d
is
ea
s
e.
Step
1
:
First
s
y
m
p
to
m
is
G5
.
G5
is
s
y
m
p
to
m
o
f
ME
R
S
-
C
o
V
Stag
e
1
an
d
Stag
e
3
,
th
u
s
m
1
(
St1
,
St3
)
=
0
.
3
5
an
d
m
1
(
θ
)
=
0
.
6
5
.
T
h
e
n
ex
t
s
y
m
p
to
m
is
G9
.
G
9
is
s
y
m
p
to
m
o
f
Stag
e
3
,
th
u
s
m
2
(
St3
)
=
0
.
9
an
d
m
2
(
θ
)
=
0
.
1
.
T
h
e
cr
o
s
s
m
u
ltip
licatio
n
b
etwe
en
G5
an
d
G9
is
s
h
o
wn
in
T
ab
le
2
.
ca
lcu
latio
n
o
f
co
m
b
in
atio
n
m
1
an
d
m
2
r
esu
ltin
g
m
3
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
10
,
No
.
1,
A
p
r
il
20
21
:
19
–
26
22
T
ab
le
2
.
C
o
m
b
i
n
atio
n
o
f
m
1
a
n
d
m
2
m
1
/
m
2
m
2
(St
3
)
=
0
.
9
m
2
(
Ɵ
)
=
0
.
1
m
1
(
S
t
1
,
S
t
3
)
=
0
.
35
0.
3
1
5
(
S
t
3
)
0
.
0
3
5
(
S
t
1
,
S
t
3
)
m
1
(
Ɵ
)
=
0
.
65
0.
5
8
5
(
S
t
3
)
0
.
0
6
5
(
Ɵ
)
R
esu
lt o
f
th
e
co
m
b
in
atio
n
s
ar
e
:
K
=
1
,
s
u
ch
th
at
1
–
K
=
1
–
0
=
1
m
3
(
St1
,
St3
)
=
0
.
0
3
5
/ 1
=
0
.
0
3
5
m
3
(
St3
)
=
(
0
.
3
1
5
+
0
.
5
8
5
)
/ 1
=
0
.
9
m
3
(
Ɵ
)
=
0
.
0
6
5
/ 1
=
0
.
0
6
5
Step
2
:
T
h
ir
d
s
y
m
p
to
m
is
G1
5
.
G1
5
is
s
y
m
p
to
m
o
f
ME
R
S
-
C
o
V
Stag
e
2
,
th
u
s
m
4
(
S
t2
)
=
0
.
7
an
d
m
4
(
θ
)
=
0
.
3
.
T
h
e
cr
o
s
s
m
u
ltip
licatio
n
b
etwe
en
th
e
r
esu
lt
o
f
s
tep
1
an
d
G
1
5
as
s
h
o
wn
in
T
ab
le
3
,
ca
lcu
late
co
m
b
in
atio
n
o
f
m
3
an
d
m
4
as m
5
:
T
ab
le
3
.
C
o
m
b
i
n
atio
n
o
f
m
3
a
n
d
m
4
m
3
/m
4
m
4
(St
2
)
=
0
.
7
m
4
(
Ɵ
)
=
0
.
3
m
3
(
S
t
1
,
S
t
3
)
=
0
.
0
35
0
.
0
245
(
K
)
0
.
0
105
(
S
t
1
,
S
t
3
)
m
3
(St
3
)
=
0
.
9
0.
63
(
K
)
0.
27
(St
3
)
m
3
(
Ɵ
)
=
0
.
065
0.
0
4
5
5
(St
2
)
0
.
0
195
(Ɵ)
R
esu
lt o
f
th
e
co
m
b
in
atio
n
s
ar
e
:
K
=
0
.
0
2
4
5
+
0
.
6
3
=
0
.
6
5
4
5
,
s
u
c
h
th
at
1
–
K
=
0
.
3
4
5
5
m
5
(
St1
,
St3
)
=
0
.
0
1
0
5
/ 0
.
3
4
5
5
=
0
.
0
3
0
4
m
5
(
St2
)
=
0
.
0
4
5
5
/ 0
.
3
4
5
5
=
0
.
1
3
1
7
m
5
(
St3
)
=
0
.
2
7
/
0
.
3
4
5
5
=
0
.
7
8
1
4
m
5
(
Ɵ
)
=
0
.
0
1
9
5
/ 0
.
3
4
5
5
=
0
.
0
5
6
4
Step
3
:
As
all
s
y
m
p
to
m
s
ar
e
co
m
b
in
ed
,
th
e
last
s
tep
is
to
m
ak
e
a
co
n
cl
u
s
io
n
.
B
ased
o
n
th
e
ca
lcu
latio
n
,
th
e
h
ig
h
est
p
r
o
b
ab
ilit
y
r
esu
lts
ar
e
St3
(
Stag
e
3
)
with
a
v
alu
e
o
f
0
.
7
8
1
4
o
r
7
8
.
1
4
%.
T
h
e
n
,
th
e
p
atien
t
is
s
u
s
p
ec
ted
o
f
h
av
i
n
g
a
s
tag
e
3
ME
R
S
-
C
o
V
with
lev
el
o
f
b
elief
7
8
.
1
4
%.
3
.
2
.
U
s
e
C
a
s
e
D
ia
g
ra
m
Fig
u
r
e
1
.
is
u
s
e
ca
s
e
d
iag
r
a
m
of
t
h
e
ex
p
er
t
s
y
s
tem
.
T
h
er
e
ar
e
two
ac
t
o
r
s
in
th
is
s
y
s
tem
,
i.e
.
th
e
v
is
ito
r
s
an
d
ad
m
in
.
Vis
ito
r
s
c
an
s
ee
th
e
d
is
ea
s
e
in
f
o
r
m
atio
n
,
s
ee
g
u
id
elin
es
an
d
m
ak
e
th
e
d
iag
n
o
s
is
.
W
h
ile
a
d
m
in
s
ca
n
m
an
a
g
e
k
n
o
wled
g
e
b
ase,
v
iew
d
iag
n
o
s
is
h
is
to
r
y
,
m
an
ag
e
s
y
m
p
t
o
m
s
,
m
a
n
ag
e
th
e
d
is
ea
s
e,
m
a
n
ag
e
ac
co
u
n
ts
,
an
d
m
an
ag
e
p
atien
ts
.
Fig
u
r
e
1
.
Use
c
ase
d
iag
r
a
m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
Dia
g
n
o
s
in
g
MER
S
-
C
o
V
u
s
in
g
d
emp
s
ter
-
s
h
a
fer me
th
o
d
(
Memen
A
kb
a
r
)
23
4.
RE
SU
L
T
AND
ANA
L
YS
I
S
4
.
1
.
I
m
ple
m
ent
a
t
io
n o
f
D
emps
t
er
-
m
et
ho
d in
W
eb
A
pp
lic
a
t
io
n
E
x
pert
S
y
s
t
em
Fig
u
r
e
2
.
is
th
e
home
p
ag
e
o
f
th
is
ex
p
er
t
s
y
s
tem
.
T
h
is
p
ag
e
d
is
p
lay
s
in
f
o
r
m
atio
n
an
d
v
id
eo
s
ab
o
u
t
ME
R
S
-
C
o
V.
I
n
th
e
f
ir
s
t
p
ag
e
,
th
er
e
is
in
f
o
r
m
atio
n
a
b
o
u
t
ME
R
S
-
C
o
V
.
I
f
v
is
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n
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ter
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4
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2
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ased
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Dem
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o
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2
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atic
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ased
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at
th
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tain
ed
to
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im
p
le
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d
less
r
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k
p
r
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o
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l f
lo
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h
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r
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ased
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o
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p
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me
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h
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4
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a
r
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t
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o
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t
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o
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n
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.
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e
v
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t
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g
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g
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me
a
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5
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o
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p
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g
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t
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t
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t
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g
e
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3
%
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t
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g
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1
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6
1
.
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o
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m
2
.
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e
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l
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t
h
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se
v
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r
e
f
l
u
3
.
S
o
r
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t
h
r
o
a
t
4
.
F
e
v
e
r
i
s
c
o
me
a
n
d
g
o
5
.
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o
d
y
t
e
m
p
e
r
a
t
u
r
e
i
s
h
i
g
h
a
t
n
i
g
h
t
a
n
d
l
o
w
a
t
d
a
y
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t
a
d
i
u
m
1
3
7
.
2
6
%
S
t
a
g
e
2
-
4.
4
.
Q
ues
t
io
nn
a
ire
T
esting
Fro
m
th
e
r
esu
lts
o
f
test
in
g
q
u
esti
o
n
n
air
es
with
th
e
u
s
er
s
,
8
4
.
1
3
%
o
f
u
s
er
s
s
tr
o
n
g
ly
ag
r
ee
d
th
at
t
h
e
o
v
er
all
s
y
s
tem
h
elp
s
p
atien
ts
to
d
iag
n
o
s
e
Me
r
s
-
C
o
V
with
th
e
Dem
p
s
ter
-
Sh
af
er
m
eth
o
d
.
W
ith
th
e
av
er
ag
e
r
esu
lts
o
f
th
e
q
u
esti
o
n
n
air
e,
it
s
h
o
ws th
at
it is
clas
s
if
ied
as a
v
er
y
g
o
o
d
cr
iter
io
n
.
5.
CO
NCLU
SI
O
N
T
h
e
co
n
clu
s
io
n
s
of
th
is
s
tu
d
y
ar
e:
T
h
e
web
-
b
ased
ex
p
er
t
s
y
s
tem
f
o
r
d
iag
n
o
s
in
g
ME
R
S
-
C
o
V
d
is
ea
s
e
u
s
in
g
th
e
Dem
p
s
ter
-
Sh
a
f
er
m
eth
o
d
h
as
b
ee
n
s
u
cc
ess
f
u
lly
b
u
ilt
with
g
en
er
al
s
y
m
p
to
m
s
in
p
u
t
.
T
h
e
Dem
p
s
ter
-
Sh
af
er
m
eth
o
d
th
at
is
im
p
le
m
en
ted
in
a
n
ex
p
er
t
s
y
s
tem
r
u
n
as
th
e
way
Dem
p
s
ter
-
Sh
a
f
er
m
eth
o
d
ac
tu
ally
wo
r
k
s
.
T
h
u
s
,
th
e
Dem
p
s
ter
-
S
h
af
er
m
eth
o
d
is
s
u
cc
ess
f
u
lly
i
m
p
lem
en
ted
in
th
e
ex
p
er
t
s
y
s
tem
f
o
r
d
iag
n
o
s
in
g
ME
R
S
-
C
o
V
d
is
ea
s
e.
B
a
s
ed
o
n
th
e
r
esu
lts
o
f
th
e
B
lack
B
o
x
test
,
th
e
ex
p
er
t
s
y
s
tem
f
o
r
d
iag
n
o
s
in
g
ME
R
S
-
C
o
V
d
is
ea
s
e
i
s
r
u
n
n
in
g
as
ex
p
ec
ted
f
u
n
ctio
n
ality
.
B
ased
o
n
th
e
r
esu
lt
o
f
th
e
wh
ite
b
o
x
t
esti
n
g
to
D
em
p
s
ter
-
S
h
af
er
p
r
o
g
r
a
m
,
t
h
e
r
esu
lt
o
f
cy
clo
m
ati
c
co
m
p
lex
ity
v
alu
e
is
8
,
s
o
t
h
at
it
is
class
if
ie
d
in
to
a
s
im
p
le
p
r
o
g
r
a
m
co
d
e
with
less
r
is
k
s
,
th
er
ef
o
r
e
th
e
p
r
o
g
r
am
co
d
e
is
ea
s
ily
m
ain
tain
ed
an
d
s
u
itab
le
to
b
e
i
m
p
lem
en
ted
o
n
th
e
s
y
s
tem
.
B
ased
o
n
th
e
r
esu
lt
o
f
th
e
q
u
esti
o
n
n
air
e
test
in
g
,
a
n
av
er
ag
e
s
co
r
e
o
f
r
esp
o
n
d
en
ts
8
4
.
1
3
%
o
f
u
s
er
s
ag
r
ee
th
at
th
e
s
y
s
t
em
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n
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elp
u
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er
s
in
d
iag
n
o
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g
Me
r
s
-
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V
d
is
ea
s
e.
B
a
s
ed
o
n
th
e
r
esu
lts
o
f
ex
p
er
t
v
alid
atio
n
test
in
g
th
e
v
alu
e
o
f
s
y
s
tem
ac
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r
ac
y
is
7
6
.
7
%
wh
ich
in
d
icate
s
th
at
th
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s
ex
p
er
t
s
y
s
tem
is
f
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n
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n
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g
p
r
o
p
er
ly
.
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h
e
in
ac
cu
r
ac
y
o
f
ex
p
e
r
t
s
y
s
tem
s
is
2
3
.
3
%,
th
is
is
d
u
e
to
er
r
o
r
s
in
th
e
v
alu
e
o
f
tr
u
s
t
in
a
s
y
m
p
to
m
is
v
er
y
in
f
lu
e
n
tial in
th
e
p
r
o
ce
s
s
o
f
c
alcu
latin
g
m
et
h
o
d
s
to
g
et
t
h
e
r
esu
lts
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
10
,
No
.
1,
A
p
r
il
20
21
:
19
–
26
26
RE
F
E
R
E
NC
E
S
[1
]
WHO,
“
WHO |
M
id
d
le E
a
st r
e
sp
i
ra
to
ry
sy
n
d
r
o
m
e
c
o
ro
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a
v
ir
u
s (M
E
RS
-
Co
V),”
W
HO
,
2
0
1
9
.
[
2
]
T.
M
a
sd
u
k
i,
“
Be
ra
p
a
Je
m
a
a
h
Um
ra
h
d
a
ri
In
d
o
n
e
sia
?
,
”
k
a
ta
d
a
ta
,
2
0
1
7
.
[O
n
li
n
e
].
Av
a
il
a
b
le:
h
tt
p
s:/
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a
tab
o
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s.
k
a
tad
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ta.co
.
i
d
/d
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t
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u
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ish
/2
0
1
7
/
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/
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3
/
b
e
ra
p
a
-
jam
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a
h
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o
n
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.
[Ac
c
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ss
e
d
:
1
8
-
Ap
r
-
2
0
1
8
]
.
[
3
]
L.
Ha
n
d
a
y
a
n
i
a
n
d
T.
S
u
t
ik
n
o
,
“
S
i
ste
m
P
a
k
a
r
u
n
tu
k
Dia
g
n
o
sis
P
e
n
y
a
k
it
Ha
ti
Be
r
b
a
sis
Web
d
e
n
g
a
n
‘
e
2
g
Li
te
Ex
p
e
rt
S
y
ste
m
S
h
e
ll
,
’”
S
y
ste
m
,
2
0
1
2
,
p
p
.
6
3
–
70
.
[
4
]
Y.
N.
Istiq
o
m
a
h
a
n
d
A.
F
a
d
li
l,
“
S
istem
p
a
k
a
r
u
n
tu
k
m
e
n
d
ia
g
n
o
sa
p
e
n
y
a
k
it
sa
lu
ra
n
p
e
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rn
a
a
n
m
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n
g
g
u
n
a
k
a
n
m
e
to
d
e
d
e
m
p
ste
r
sh
a
fe
r
1
,
”
J
.
S
a
rj.
T
e
k
.
In
f
o
rm
.
V
o
l.
1
N
o
mo
r
1
,
J
u
n
i
2
0
1
3
e
-
IS
S
N
2
3
3
8
-
5
1
9
7
,
v
o
l
.
1
,
p
p
.
3
2
–
4
1
,
2
0
1
3
.
[
5
]
M.
Da
h
ria,
R.
Si
lala
h
i,
a
n
d
M
.
Ra
m
a
d
h
a
n
,
"
S
istem
P
a
k
a
r
M
e
to
d
e
De
m
p
ste
r
-
S
h
a
fe
r
u
n
t
u
k
M
e
n
e
n
tu
k
a
n
Je
n
i
s
G
a
n
g
g
u
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m
b
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n
p
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d
a
A
n
a
k
"
,
J
u
rn
a
l
Ilmi
a
h
S
a
in
ti
k
o
m
,
v
o
l.
1
2
,
n
o
.
1
,
Ja
n
u
a
ri
2
0
1
3
[
6
]
D.
A.
Ku
su
m
a
a
n
d
C.
Ch
a
iran
i
,
“
Ra
n
c
a
n
g
Ba
n
g
u
n
S
istem
P
a
k
a
r
P
e
n
d
iag
n
o
sa
P
e
n
y
a
k
i
t
P
a
r
u
-
P
a
ru
M
e
n
g
g
u
n
a
k
a
n
M
e
to
d
e
Ca
se
Ba
se
d
Re
a
so
n
in
g
,
”
J
.
In
fo
rm
.
d
a
n
E
lek
tro
n
.
,
v
o
l.
6
,
n
o
.
2
,
p
p
.
5
7
–
6
2
,
2
0
1
5
.
[
7
]
L.
S
.
Les
m
a
n
a
,
“
S
istem
P
a
k
a
r
D
e
n
g
a
n
M
e
to
d
e
F
o
rwa
rd
C
h
a
in
i
n
g
Un
tu
k
Dia
g
n
o
sa
P
a
sie
n
Ya
n
g
T
e
rin
fe
k
si
Viru
s
M
e
rs
Co
v
(
S
t
u
d
i
Ka
su
s
Di
RS
U
P
M
.
Dja
m
il
P
a
d
a
n
g
),
”
C
BIS
J
o
u
r
n
a
l,
Vo
l
.
3
No
2
,
I
S
S
N
2
3
3
7
-
8
7
9
4
,
v
o
l.
3
,
n
o
.
2
,
p
p
.
4
9
–
6
5
,
2
0
1
5
.
[
8
]
M
.
M
a
rli
n
a
,
W.
S
a
p
u
tra,
B.
M
u
ly
a
d
i,
B.
Ha
y
a
ti
,
a
n
d
Ja
ro
ji
,
“
A
p
li
k
a
si
S
istem
P
a
k
a
r
Dia
g
n
o
sis
P
e
n
y
a
k
i
t
IS
P
A
Be
rb
a
sis
S
p
e
e
c
h
Re
c
o
g
n
i
ti
o
n
M
e
n
g
g
u
n
a
k
a
n
M
e
t
o
d
e
Na
iv
e
Ba
y
e
s,
”
T
e
k
n
o
l.
I
n
f.
d
a
n
Ko
m
u
n
.
Di
g
it
.
Z
o
.
,
v
o
l.
8
,
n
o
.
1
, p
p
.
5
8
-
70
,
2
0
1
7
.
[
9
]
R.
D.
M
.
Ba
d
riy
a
h
,
a
n
d
A.
Ariy
a
n
i,
“
S
istem
P
a
k
a
r
Un
tu
k
Dia
g
n
o
sa
P
e
n
y
a
k
it
P
a
r
u
-
P
a
ru
M
e
n
g
g
u
n
a
k
a
n
M
e
to
d
e
Ce
rtain
ty
F
a
c
to
r
Di
P
u
sk
e
sm
a
s Cit
a
n
g
k
il
,
”
J
.
Pr
o
T
e
k
in
f
o
,
v
o
l
.
4
,
p
p
.
3
4
–
4
2
,
2
0
1
7
.
[1
0
]
B
.
Yo
n
g
a
n
d
L
.
Ow
e
n
,
"
M
o
d
e
l
P
e
n
y
e
b
a
ra
n
P
e
n
y
a
k
it
M
e
n
u
lar
M
E
RS
-
Co
V:
S
u
a
tu
La
n
g
k
a
h
An
t
isip
a
si
u
n
tu
k
Ca
lo
n
Ja
m
a
a
h
Ha
ji
/Um
ra
h
In
d
o
n
e
sia
"
,
L
e
mb
a
g
a
Pe
n
e
li
ti
a
n
d
a
n
Pen
g
a
b
d
ia
n
M
a
sy
a
ra
k
a
t,
U
n
iv
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it
a
s
Ka
t
o
li
k
Pa
ra
h
y
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n
g
a
n
,
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a
n
d
u
n
g
,
2
0
1
5
[1
1
]
N.
Zan
g
,
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.
Jia
n
g
,
a
n
d
L.
Du
,
"
Cu
rre
n
t
a
d
v
a
n
c
e
m
e
n
ts
a
n
d
p
o
te
n
ti
a
l
stra
teg
ies
i
n
t
h
e
d
e
v
e
lo
p
m
e
n
t
o
f
M
ERS
-
C
o
V
v
a
c
c
in
e
s",
Exp
e
rt R
e
v
iew o
f
Va
c
c
in
e
s
,
v
o
l.
1
3
,
n
o
.
6
,
p
p
.
7
6
1
-
7
7
6
,
Ap
ril
2
0
1
4
[1
2
]
H.
M
o
m
a
tt
in
,
K.
M
o
h
a
m
m
e
d
,
A.
Zu
m
la,
Z.
A.
M
e
m
ish
a
n
d
J.
A.
A
l
-
Taw
fiq
,
"
T
h
e
ra
p
e
u
ti
c
Op
ti
o
n
s f
o
M
ERS
-
C
o
V
-
p
o
ss
ib
le
les
so
n
s
fr
o
m
a
s
y
ste
m
a
ti
c
re
v
iew
S
ARS
-
C
o
V
th
e
ra
p
y
"
,
I
n
ter
n
a
ti
o
n
a
J
o
u
rn
a
l
o
f
I
n
fec
ti
o
u
sD
ise
a
se
,
v
o
l.
1
7
,
n
o
.
1
0
,
p
p
.
e
7
9
2
-
2
7
9
8
,
2
0
1
3
[1
3
]
R.
Djo
g
e
a
n
d
K.
Ha
sa
n
,
"
Dia
g
n
o
sa
P
e
n
y
a
k
i
t
AID
S
,
M
ER
S
Viru
s
d
a
n
Eb
o
la
Be
rb
a
sis
Web
d
i
P
u
sk
e
sm
a
s
S
ik
o
Tern
a
te"
,
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
n
I
n
fo
rm
a
t
io
n
S
y
ste
m
,
v
o
l.
3
,
n
o
.
1
,
p
p
.
1
-
9
,
Ap
r
il
2
0
1
8
.
[1
4
]
M
.
Eas
t
a
n
d
R.
S
.
Vir
u
s,
“
P
e
d
o
m
a
n
Um
u
m
Ke
sia
p
sia
g
a
a
n
M
e
n
g
h
a
d
a
p
i
(M
ERS
-
Co
V),”
2
0
1
3
.
[1
5
]
D.
P
.
Ku
r
n
iaw
a
ti
,
“
Im
p
lem
e
n
tas
i
M
e
to
d
e
De
m
p
ste
r
S
h
a
fe
r
P
a
d
a
S
i
ste
m
P
a
k
a
r
Un
t
u
k
Dia
g
n
o
sa
Je
n
is
-
jen
is
P
e
n
y
a
k
it
Dia
b
e
tes
M
e
li
tu
s,”
Psi
U
d
in
u
s
,
2
0
1
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.