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m
ize
a
s
et
[
1
7
-
19]
.
I
f
im
p
le
m
en
te
d
co
r
r
ec
tly
,
th
e
r
es
u
lt
s
o
f
t
h
is
alg
o
r
ith
m
w
ill
n
o
t
b
e
b
iased
,
s
o
e
ac
h
p
er
m
u
tat
io
n
h
as
t
h
e
s
a
m
e
p
o
s
s
ib
ili
t
y
[
2
0
]
.
Fu
zz
y
Su
g
e
n
o
alg
o
r
ith
m
ap
p
lied
in
th
is
g
a
m
e
ap
p
lied
f
o
r
s
co
r
in
g
.
Fu
zz
y
Su
g
e
n
o
h
a
s
also
b
ee
n
ap
p
lied
to
s
ev
er
al
g
a
m
es
f
o
r
s
ev
er
al
p
u
r
p
o
s
es,
s
u
c
h
as p
r
ed
ictio
n
o
f
NP
C
P
lay
er
[
2
1
,
2
2
]
,
Stra
teg
y
[
2
3
]
,
to
d
d
ler
n
u
tr
itio
n
[
2
4
]
,
an
d
clu
e
[
2
5
]
.
T
h
is
s
tu
d
y
ai
m
s
to
ap
p
l
y
an
d
an
al
y
ze
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
Fis
h
er
-
Yate
s
an
d
Fu
zz
y
S
u
g
e
n
o
alg
o
r
ith
m
s
in
th
e
E
n
g
li
s
h
g
a
m
e
f
o
r
ch
ild
r
en
w
it
h
s
p
ec
ial
n
ee
d
s
.
I
n
ad
d
itio
n
,
th
e
g
a
m
e
t
h
at
w
a
s
b
u
ilt
w
a
s
also
test
ed
o
n
s
tu
d
e
n
ts
w
it
h
s
p
ec
ial
n
ee
d
s
to
m
ea
s
u
r
e
t
h
e
le
v
el
o
f
u
n
d
er
s
ta
n
d
in
g
o
f
E
n
g
li
s
h
m
ater
ial
b
ef
o
r
e
an
d
af
ter
p
la
y
i
n
g
th
e
g
a
m
e.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
d
ev
elo
p
m
e
n
t
m
et
h
o
d
u
s
e
d
is
th
e
g
a
m
e
d
ev
elo
p
m
e
n
t
li
f
e
c
y
c
le
(
GD
L
C
)
.
GD
L
C
is
t
h
e
s
ta
g
e
t
o
b
u
ild
a
g
a
m
e
(
d
ig
i
tal
g
a
m
e)
th
at
i
s
d
o
n
e
s
eq
u
en
tiall
y
.
T
h
er
e
ar
e
s
i
x
m
a
in
p
h
ase
s
i
n
GDL
C
,
i
n
cl
u
d
in
g
:
1
)
i
n
itializatio
n
,
2
)
p
re
-
p
r
o
d
u
c
tio
n
,
3
)
p
r
o
d
u
ctio
n
,
4
)
t
esti
n
g
,
5
)
b
eta
r
elea
s
e,
an
d
6
)
f
u
ll
v
e
r
s
io
n
r
elea
s
e
[
2
6
]
.
T
h
e
m
e
th
o
d
u
s
ed
to
o
b
s
er
v
e
s
tu
d
e
n
t
u
n
d
er
s
ta
n
d
in
g
i
n
t
h
is
s
tu
d
y
is
a
q
u
asi
-
e
x
p
er
i
m
e
n
tal
m
et
h
o
d
,
w
h
ic
h
is
a
f
o
r
m
o
f
an
ex
p
er
i
m
en
t
w
h
e
r
e
th
e
m
ai
n
ch
ar
ac
ter
is
tic
o
f
v
alid
atio
n
i
s
n
o
t
to
d
o
r
an
d
o
m
ass
ig
n
m
en
t
s
,
b
u
t
in
s
tead
to
u
s
e
an
ex
i
s
ti
n
g
g
r
o
u
p
w
h
ic
h
i
n
t
h
i
s
ca
s
e
is
a
n
o
r
d
in
ar
y
c
lass
.
Qu
a
s
i
-
ex
p
e
r
i
m
en
ts
ar
e
al
m
o
s
t
th
e
s
a
m
e
as
ac
t
u
al
e
x
p
er
i
m
en
ts
,
t
h
e
d
if
f
er
en
ce
lies
i
n
t
h
e
u
s
e
o
f
s
u
b
j
ec
ts
,
n
a
m
e
l
y
q
u
asi
-
e
x
p
er
i
m
e
n
ts
ar
e
n
o
t
r
an
d
o
m
ass
i
g
n
m
en
t
s
,
b
u
t r
ath
e
r
b
y
u
s
i
n
g
a
n
ex
is
ti
n
g
g
r
o
u
p
(
i
n
tact
g
r
o
u
p
)
[
2
7
]
.
T
h
e
r
ea
s
o
n
f
o
r
n
o
t
d
o
in
g
t
h
is
r
an
d
o
m
as
s
i
g
n
m
e
n
t
is
b
ec
au
s
e
th
e
r
esear
ch
er
ca
n
'
t
c
h
an
g
e
th
e
ex
i
s
ti
n
g
class
s
o
t
h
e
r
esear
c
h
er
ca
n
d
et
er
m
in
e
w
h
ich
r
esear
ch
s
u
b
j
ec
ts
b
elo
n
g
to
t
h
e
e
x
p
er
i
m
e
n
tal
g
r
o
u
p
s
.
T
h
e
g
r
o
u
p
s
th
at
ar
e
i
n
o
n
e
clas
s
ar
e
u
s
u
a
ll
y
alr
ea
d
y
b
alan
ce
d
s
o
th
at
i
f
t
h
e
r
esear
c
h
er
cr
ea
tes
a
n
e
w
c
lass
g
r
o
u
p
i
t
is
f
ea
r
ed
th
at
th
e
n
at
u
r
al
at
m
o
s
p
h
er
e
o
f
a
c
lass
w
ill
b
e
lo
s
t.
T
o
av
o
id
lo
s
i
n
g
th
e
n
at
u
r
al
at
m
o
s
p
h
er
e
o
f
t
h
e
cla
s
s
,
th
e
r
esear
ch
er
s
u
s
ed
a
q
u
as
i
-
e
x
p
er
i
m
e
n
tal
m
eth
o
d
u
s
i
n
g
cla
s
s
es t
h
at
alr
ea
d
y
ex
i
s
ted
in
t
h
e
p
o
p
u
latio
n
.
I
n
t
h
e
s
tu
d
y
t
h
er
e
ar
e
t
w
o
m
ai
n
v
ar
iab
les,
n
a
m
e
l
y
th
e
i
n
d
ep
en
d
en
t
v
ar
iab
le
o
r
t
h
e
p
r
ed
ict
o
r
v
ar
iab
le
(
in
d
ep
en
d
en
t
v
ar
iab
le)
is
o
f
te
n
g
i
v
e
n
an
X
n
o
tatio
n
i
s
t
h
e
ca
u
s
e
v
ar
iab
le
o
r
w
h
ic
h
i
s
t
h
o
u
g
h
t
to
p
r
o
v
id
e
an
i
n
f
lu
e
n
ce
o
r
ef
f
ec
t
o
n
o
t
h
er
e
v
en
t
s
,
a
n
d
t
h
e
d
ep
en
d
e
n
t
v
ar
iab
le
o
r
t
h
e
r
esp
o
n
s
e
v
ar
iab
le
(
d
ep
en
d
en
t
v
ar
iab
le)
is
o
f
ten
ca
lled
th
e
Y
n
o
tatio
n
,
i.e
.
th
e
v
ar
iab
le
w
h
ic
h
is
ca
u
s
ed
o
r
th
e
ef
f
ec
t
o
f
th
e
in
d
ep
en
d
en
t
v
ar
iab
le
[
2
7
]
.
I
n
th
is
s
tu
d
y
,
t
h
er
e
ar
e
t
w
o
v
ar
iab
les,
n
a
m
e
l
y
t
h
e
i
n
d
ep
en
d
en
t
v
ar
i
ab
le
an
d
th
e
d
ep
en
d
e
n
t
v
ar
iab
le.
T
h
e
u
s
e
o
f
th
e
P
et
an
d
W
ild
g
a
m
e
is
ca
r
r
ied
o
u
t
in
th
e
e
x
p
er
i
m
e
n
tal
cla
s
s
.
L
ea
r
n
i
n
g
b
y
u
s
i
n
g
th
e
g
a
m
e
p
et
an
d
w
ild
is
p
la
ce
d
as
an
in
d
ep
en
d
en
t
v
ar
iab
le,
w
h
ile
s
t
u
d
en
t
lear
n
i
n
g
o
u
tco
m
es
ar
e
p
lace
d
as a
d
ep
en
d
en
t v
ar
iab
le.
T
h
e
r
esear
ch
d
esi
g
n
u
s
ed
i
n
t
h
is
s
t
u
d
y
is
t
h
e
o
n
e
g
r
o
u
p
p
r
etest
p
o
s
t
-
tes
t
d
esi
g
n
,
w
h
ic
h
i
s
a
f
o
r
m
o
f
r
esear
ch
d
esig
n
i
n
a
q
u
asi
-
e
x
p
er
i
m
e
n
tal
m
eth
o
d
.
T
h
e
ex
p
er
im
e
n
tal
g
r
o
u
p
w
as
s
elec
t
ed
w
it
h
o
u
t
r
an
d
o
m
ass
i
g
n
m
e
n
ts
t
h
en
h
eld
p
r
etest
s
b
ef
o
r
e
tr
ea
t
m
en
t
an
d
p
o
s
t
-
te
s
t
a
f
ter
tr
ea
t
m
en
t
[
2
7
]
.
T
h
e
s
am
p
le
i
n
t
h
is
s
t
u
d
y
w
er
e
th
r
ee
c
h
ild
r
e
n
w
it
h
s
p
ec
ial
n
ee
d
s
w
h
o
w
er
e
s
t
u
d
en
ts
at
a
n
E
x
tr
ao
r
d
in
ar
y
Sc
h
o
o
l
in
B
an
d
u
n
g
.
T
h
r
ee
s
tu
d
en
ts
ar
e
a
u
tis
t
ic
an
d
m
en
tall
y
d
i
s
ab
led
s
tu
d
e
n
ts
.
All th
r
ee
w
er
e
ch
o
s
e
n
b
ec
au
s
e
t
h
e
y
ar
e
i
n
th
e
s
a
m
e
g
r
ad
e
lev
el.
T
h
e
r
esear
ch
i
n
s
tr
u
m
en
t
w
as
2
0
q
u
esti
o
n
s
t
h
at
w
er
e
test
ed
d
u
r
i
n
g
th
e
p
r
etest
an
d
p
o
s
ttes
t.
T
h
e
ap
p
licatio
n
o
f
th
e
Fis
h
er
-
Yate
s
an
d
F
u
zz
y
S
u
g
en
o
a
l
g
o
r
ith
m
s
i
s
d
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ib
ed
as
f
o
llo
w
s
.
T
ab
les
an
d
f
ig
u
r
e
s
ar
e
p
r
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ce
n
ter
,
as sh
o
w
n
b
elo
w
a
n
d
cited
in
t
h
e
m
a
n
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s
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ip
t.
2
.
1
.
F
is
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Ya
t
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a
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T
h
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Fis
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ith
m
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in
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h
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Fis
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Fo
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Fi
s
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er
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Yate
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ith
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ill
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s
tr
at
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in
Fig
u
r
e
1
.
Fro
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Fi
g
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1
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m
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o
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Evaluation Warning : The document was created with Spire.PDF for Python.
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Descr
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R
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ll: P
o
s
itio
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tak
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n
r
an
d
o
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e
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ch
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Scr
atch
:
L
is
t o
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m
b
er
s
/o
b
j
ec
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d
u
r
in
g
r
a
n
d
o
m
izatio
n
R
es
u
lt
:
R
an
d
o
m
izatio
n
r
es
u
lt
s
Fig
u
r
e
1
.
Flo
w
c
h
ar
t
o
f
t
h
e
m
o
d
er
n
Fis
h
er
-
Yate
s
a
lg
o
r
it
h
m
[
2
8
]
2
.
2
.
F
uzzy
S
ug
eno
a
lg
o
rit
h
m
I
n
t
h
e
g
a
m
e
cr
ea
ted
,
F
u
zz
y
S
u
g
e
n
o
al
g
o
r
ith
m
i
s
ap
p
lied
f
o
r
s
co
r
in
g
.
Fo
llo
w
in
g
is
t
h
e
d
esig
n
a
n
d
ca
lcu
latio
n
o
f
t
h
e
m
a
n
u
a
l Fu
z
z
y
S
u
g
e
n
o
alg
o
r
it
h
m
w
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ic
h
is
ap
p
lied
to
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e
Qu
iz
m
i
n
i
-
g
a
m
e
.
-
Fu
zz
y
v
ar
iab
le
I
n
t
h
e
s
y
s
te
m
,
t
w
o
v
ar
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les
a
r
e
u
s
ed
as
in
p
u
t
i
n
th
e
F
u
zz
y
f
u
n
ctio
n
,
n
a
m
el
y
ti
m
e
(
i
n
s
ec
o
n
d
s
)
an
d
s
co
r
es
(
in
p
o
in
ts
)
.
T
h
e
o
u
tp
u
t
is
a
v
al
u
e
(
o
u
tp
u
t
-
n
o
t
in
cl
u
d
in
g
v
ar
iab
le
s
)
as
a
s
tar
d
et
er
m
in
a
n
t.
T
h
e
t
w
o
v
ar
iab
les ea
ch
h
av
e
t
h
r
ee
f
u
zz
y
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et
s
.
-
L
i
n
g
u
it
ic
v
al
u
e
Of
th
e
t
w
o
v
ar
iab
les
u
s
ed
,
th
e
lin
g
u
i
s
tic
v
al
u
es
f
o
r
th
e
ti
m
e
v
ar
iab
le
ar
e:
f
ast,
m
ed
iu
m
,
an
d
s
lo
w
.
Ma
tch
es
f
o
r
Sco
r
es a
r
e:
L
ar
g
e
,
Me
d
iu
m
a
n
d
S
m
al
l.
-
Fu
zz
i
f
icatio
n
Fu
zz
i
f
icatio
n
is
a
m
ap
p
in
g
o
f
cr
ip
s
(
n
u
m
er
ic)
v
al
u
es
in
to
a
f
u
zz
y
s
et
a
n
d
d
eter
m
i
n
es
t
h
e
d
eg
r
ee
o
f
m
e
m
b
er
s
h
ip
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
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t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
2
,
A
p
r
il 2
0
2
0
:
8
7
9
-
889
882
T
im
e
an
d
Sco
r
e
ar
e
in
p
u
t,
th
en
o
p
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ated
w
it
h
f
u
zz
y
lo
g
ic
b
ased
o
n
f
u
zz
y
r
u
les,
af
ter
th
a
t
co
n
clu
s
io
n
s
ca
n
b
e
d
r
aw
n
in
t
h
e
f
o
r
m
o
f
v
alu
e
s
.
T
h
e
v
alu
e
o
b
tain
ed
w
ill
d
eter
m
in
e
t
h
e
n
u
m
b
er
o
f
s
t
ar
s
th
e
p
la
y
er
g
ets.
B
ased
o
n
th
e
Fu
zz
y
I
n
ter
f
er
en
ce
S
y
s
te
m
ab
o
v
e,
t
h
e
f
o
llo
w
i
n
g
f
u
zz
y
s
et
m
ap
p
in
g
.
a
.
T
h
e
T
im
e
Var
iab
le
(
Seco
n
d
)
,
t
h
e
r
an
g
e
as it
f
o
llo
w
s
.
T
im
e
r
a
n
g
e
i
s
ex
p
lai
n
ed
in
t
h
e
Fi
g
u
r
e
2
.
-
Fas
t (
5
-
1
5
)
,
w
it
h
t
h
e
f
o
r
m
u
la:
[
]
=
{
1
;
=
10
15
−
15
−
5
;
5
≤
≤
15
0
;
≥
15
}
(
1
)
-
Me
d
iu
m
(
1
0
-
4
0
)
,
w
it
h
t
h
e
f
o
r
m
u
la:
[
]
=
{
−
10
25
−
10
;
10
<
≤
25
40
−
40
−
25
;
25
<
<
40
0
;
≤
10
≥
40
}
(
2)
-
Slo
w
(
3
0
-
5
0
)
,
w
it
h
t
h
e
f
o
r
m
u
l
a:
[
]
=
{
1
;
≥
50
−
30
50
−
30
;
30
≤
≤
50
0
;
≤
30
}
(
3)
b.
T
h
e
Sco
r
e
Var
iab
le
(
Po
in
)
,
h
as
th
e
f
o
llo
w
in
g
r
an
g
e.
T
h
e
s
co
r
e
r
an
g
e
ch
ar
t s
h
o
w
n
i
n
t
h
e
Fi
g
u
r
e
3
.
-
S
m
all
(
0
-
5
0
)
,
w
ith
t
h
e
f
o
r
m
u
la
:
[
]
=
{
1
;
=
10
50
−
40
−
0
;
0
≤
≤
50
0
;
≥
50
}
(
4
)
-
Me
d
iu
m
(
2
0
-
8
0
)
,
w
it
h
t
h
e
f
o
r
m
u
la:
[
]
=
{
−
20
50
−
20
;
20
<
≤
50
80
−
8
0
−
50
;
50
<
≤
80
0
;
≤
20
≥
80
}
(
5
)
-
L
ar
g
e
(
5
0
-
1
0
0
)
,
w
it
h
th
e
f
o
r
m
u
la:
[
]
=
{
1
;
=
100
−
50
100
−
50
;
50
≤
≤
100
0
;
≤
50
}
(
6
)
c.
Ou
tp
u
t
T
h
e
v
alu
e
o
b
tain
ed
is
r
ep
r
esen
ted
b
y
t
h
e
n
u
m
b
er
o
f
s
tar
s
o
b
tain
ed
.
-
Ver
y
Go
o
d
=
1
0
0
,
n
u
m
b
er
o
f
s
tar
s
:
3.
-
Go
o
d
=
8
0
,
n
u
m
b
er
o
f
s
tar
s
: 2
.
-
E
n
o
u
g
h
=
5
0
,
n
u
m
b
er
o
f
s
tar
s
:
1
.
-
L
es
s
=
2
5
,
n
u
m
b
er
o
f
s
tar
s
: 0
.
-
Ver
y
L
e
s
s
=
1
0
,
n
u
m
b
er
o
f
s
ta
r
s
: 0
.
-
Fuzzy
rul
e
Nin
e
f
u
zz
y
r
u
le
s
ar
e
u
s
ed
,
w
ill
b
e
d
escr
ib
ed
in
tab
u
lar
f
o
r
m
.
T
h
e
f
o
llo
w
i
n
g
T
ab
le
2
is
th
e
f
u
zz
y
r
u
les
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
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f
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me
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s
(
Dien
a
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d
a
R
a
md
a
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ia
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883
Fig
u
r
e
2
.
T
im
e
r
an
g
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ch
ar
t
Fig
u
r
e
3
.
Sco
r
e
r
an
g
e
c
h
ar
t
T
ab
le
2
.
T
h
e
F
u
zz
y
r
u
le
s
ID
R
u
l
e
s
[
R
1
]
I
f
t
i
me
=
q
u
i
c
k
a
n
d
sco
r
e
=
b
i
g
,
t
h
e
n
g
r
a
d
e
=
g
o
o
d
.
[
R
2
]
I
f
t
i
me
=
q
u
i
c
k
a
n
d
sco
r
e
=
me
d
i
u
m,
t
h
e
n
g
r
a
d
e
=
g
o
o
d
.
[
R
3
]
I
f
t
i
me
=
q
u
i
c
k
a
n
d
sco
r
e
=
sm
a
l
l
,
t
h
e
n
g
r
a
d
e
=
l
o
w
.
[
R
4
]
I
f
t
i
me
=
me
d
i
u
m
a
n
d
s
c
o
r
e
=
b
i
g
,
t
h
e
n
g
r
a
d
e
=
g
o
o
d
[
R
5
]
I
f
t
i
me
=
me
d
i
u
m
a
n
d
s
c
o
r
e
=
me
d
i
u
m,
t
h
e
n
g
r
a
d
e
=
f
a
i
r
.
[
R
6
]
I
f
t
i
me
=
me
d
i
u
m
a
n
d
s
c
o
r
e
=
smal
l
,
i
s t
h
e
n
g
r
a
d
e
=
l
o
w
.
[
R
7
]
I
f
t
i
me
=
sl
o
w
a
n
d
sco
r
e
=
l
a
r
g
e
,
t
h
e
n
g
r
a
d
e
=
f
a
i
r
.
[
R
8
]
I
f
t
i
me
=
sl
o
w
a
n
d
sco
r
e
=
u
p
,
t
h
e
n
g
r
a
d
e
=
f
a
i
r
.
[
R
9
]
I
f
t
i
me
=
sl
o
w
a
n
d
sco
r
e
=
s
mal
l
,
t
h
e
g
r
a
d
e
=
l
o
w
.
3.
I
M
P
L
E
M
E
NT
AT
I
O
N
I
m
p
le
m
e
n
tatio
n
o
f
th
e
in
ter
f
ac
e
is
t
h
e
d
is
p
la
y
i
n
ter
f
ac
e
w
h
e
n
t
h
e
g
a
m
e
is
r
u
n
.
Fo
llo
w
i
n
g
is
th
e
i
m
p
le
m
e
n
tatio
n
o
f
t
h
e
in
te
r
f
ac
e
o
f
th
e
g
a
m
e
m
ad
e.
-
Ma
in
Me
n
u
T
h
e
m
a
in
m
e
n
u
is
t
h
e
m
ain
m
en
u
o
f
t
h
e
g
a
m
e.
W
h
e
n
t
h
e
g
a
m
e
s
tar
t
s
p
la
y
i
n
g
,
th
is
d
is
p
la
y
is
th
e
f
ir
s
t
th
i
n
g
t
h
at
i
s
d
is
p
la
y
ed
.
-
P
et
an
d
W
ild
A
n
i
m
als
Me
n
u
W
h
en
t
h
e
p
la
y
er
ch
o
o
s
e
s
a
t
h
e
m
e
b
et
w
ee
n
P
et
o
r
W
ild
th
e
n
t
h
e
n
ex
t
d
is
p
la
y
w
ill
en
ter
t
h
e
t
h
e
m
e
m
en
u
s
e
lecte
d
as s
h
o
w
n
i
n
th
e
Fig
u
r
e
4
.
Fig
u
r
e
4
.
P
et
(
l
ef
t)
an
d
w
ild
a
n
i
m
al
(
r
ig
h
t)
m
e
n
u
th
e
m
e
i
n
te
r
f
ac
e
-
V
oc
abul
ar
y
W
h
en
t
h
e
p
la
y
er
c
h
o
o
s
es
t
h
e
"
Vo
ca
b
u
lar
y
"
m
e
n
u
,
a
li
s
t
o
f
an
i
m
als
w
ill
ap
p
ea
r
.
T
h
e
in
ter
f
ac
e
o
f
t
h
i
s
m
en
u
s
h
o
w
n
in
F
ig
u
r
e
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
2
,
A
p
r
il 2
0
2
0
:
8
7
9
-
889
884
Fig
u
r
e
5
.
Vo
ca
b
u
lar
y
i
n
ter
f
ac
e
-
An
i
m
al
i
n
f
o
r
m
atio
n
i
n
ter
f
ac
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I
n
th
e
lis
t
o
f
an
i
m
al
s
,
th
e
p
la
y
er
s
elec
ts
o
n
e
o
f
th
e
an
i
m
als
an
d
an
i
m
al
in
f
o
r
m
atio
n
in
th
e
f
o
r
m
o
f
i
m
ag
e
s
,
n
a
m
e
s
i
n
I
n
d
o
n
e
s
ia
n
a
n
d
E
n
g
lis
h
w
i
ll
ap
p
ea
r
.
P
lay
er
s
ca
n
also
l
is
te
n
to
a
n
i
m
al
s
o
u
n
d
s
b
y
cl
ick
i
n
g
o
n
t
h
e
p
ict
u
r
e.
B
esid
es,
p
la
y
er
s
ca
n
l
is
te
n
to
E
n
g
lis
h
p
r
o
n
u
n
c
iatio
n
o
f
a
n
i
m
al
n
a
m
es
b
y
clic
k
in
g
o
n
th
e
s
p
ea
k
er
lo
g
o
.
T
h
e
in
ter
f
ac
e
o
f
th
is
f
ea
t
u
r
e
s
h
o
w
n
i
n
th
e
Fig
u
r
e
6
.
Fig
u
r
e
6
.
An
i
m
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3
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alg
o
r
ith
m
is
s
u
i
tab
le
f
o
r
co
n
clu
d
in
g
d
ata
th
at
ar
e
n
o
t
to
o
co
m
p
lex
,
in
cl
u
d
in
g
s
co
r
in
g
g
a
m
es
to
d
eter
m
i
n
e
t
h
e
s
co
r
e
in
P
et
an
d
W
ild
An
i
m
al
ed
u
ca
tio
n
a
l
g
a
m
es
t
h
at
o
n
l
y
u
s
e
t
w
o
v
ar
iab
les.
Fi
s
h
er
-
Yate
s
al
g
o
r
ith
m
ca
n
b
e
u
s
ed
as
o
n
e
o
f
th
e
s
h
u
f
f
le
al
g
o
r
ith
m
r
an
d
o
m
izatio
n
p
r
o
b
le
m
s
b
ec
au
s
e
o
f
th
e
s
h
o
r
t
e
x
ec
u
ti
o
n
ti
m
e,
d
o
es
n
o
t
u
s
e
a
lar
g
e
a
m
o
u
n
t
o
f
m
e
m
o
r
y
,
a
n
d
p
r
o
d
u
ce
s
b
alan
ce
d
r
an
d
o
m
izatio
n
.
T
h
e
g
a
m
e
h
a
s
p
r
o
v
en
ca
n
i
m
p
r
o
v
e
s
t
u
d
en
t
s
'
u
n
d
er
s
ta
n
d
in
g
o
f
a
n
i
m
al
r
ec
o
g
n
i
tio
n
m
ater
ial,
a
s
s
ee
n
f
r
o
m
t
h
e
in
cr
ea
s
e
i
n
t
h
e
a
v
er
ag
e
s
co
r
e
f
r
o
m
p
r
etes
t to
p
o
s
ttes
t b
y
7
.
8
9
p
o
in
ts
.
6.
F
UT
UR
E
WO
RK
S
T
h
e
f
u
t
u
r
e
ap
p
licatio
n
o
f
th
e
F
is
h
er
-
Yate
s
alg
o
r
it
h
m
ca
n
b
e
a
p
p
lied
to
th
e
r
an
d
o
m
izatio
n
o
f
letter
s
i
n
s
i
m
ilar
m
i
n
i r
ea
r
r
an
g
e
o
r
q
u
iz
g
a
m
e
s
.
L
ea
r
n
i
n
g
m
ater
ial
ca
n
also
b
e
m
ad
e
d
ee
p
er
an
d
m
o
r
e
co
m
p
le
x
.
ACK
NO
WL
E
D
G
E
M
E
NT
S
Au
t
h
o
r
s
w
is
h
i
n
g
to
ac
k
n
o
w
le
d
g
e
R
esear
c
h
an
d
P
u
b
licatio
n
C
en
tr
e
o
f
UI
N
S
u
n
an
G
u
n
u
n
g
Dj
ati
B
an
d
u
n
g
t
h
at
s
u
p
p
o
r
ts
an
d
f
u
n
d
s
th
is
r
esear
c
h
p
u
b
licatio
n
.
RE
F
E
R
E
NC
E
S
[1
]
En
g
li
sh
F
irst
(EF
)
,
“
EF
E
P
I
2
0
1
7
-
EF
En
g
li
s
h
L
a
n
g
u
a
g
e
P
ro
f
icie
n
c
y
In
d
e
x
(in
Ba
h
a
sa
:
EF
E
P
I
2
0
1
7
-
I
n
d
e
k
s
Ke
c
a
k
a
p
a
n
Ba
h
a
sa
In
g
g
ris
EF
),
”
[
On
li
n
e
]
,
A
v
a
il
a
b
le:
ww
w
.
e
f
.
c
o
m
/ep
i,
2
0
1
7
.
[2
]
T
h
e
Ho
u
se
O
f
Re
p
re
s
e
n
tativ
e
s
o
f
T
h
e
Re
p
u
b
li
c
Of
In
d
o
n
e
si
a
“
Un
d
a
n
g
Un
d
a
n
g
Da
sa
r
Ne
g
a
ra
R
e
p
u
b
li
k
In
d
o
n
e
sia
,
”
1
9
4
5
.
[3
]
L
.
Ha
rrin
g
to
n
,
C.
S
h
a
r
p
,
a
n
d
E.
P
i
e
r
m
a
n
,
“
A
rt
a
n
d
A
u
ti
s
m
A
G
u
id
e
f
o
r
Ed
u
c
a
to
rs,” C
o
lu
m
b
u
s,
2
0
0
9
.
[4
]
Y.
P
u
sp
i
tas
a
ri
a
n
d
F
.
Ya
sin
,
“
S
p
o
rts
Ed
u
c
a
ti
o
n
G
a
m
e
f
o
r
Ch
il
d
re
n
w
it
h
S
p
e
c
ial
Ne
e
d
s
(A
BK)
T
u
n
a
G
r
a
h
it
a
Ba
se
d
o
n
Kin
e
c
t
(in
Ba
h
a
sa
:
Ga
m
e
Ed
u
k
a
si
Ola
h
ra
g
a
Un
tu
k
A
n
a
k
Be
r
k
e
b
u
tu
h
a
n
Kh
u
su
s
(A
BK)
T
u
n
a
Gra
h
it
a
Be
rb
a
sis
Kin
e
c
t
)
,
”
2
0
1
4
.
[5
]
N.
S
u
d
jan
a
a
n
d
A
.
Riv
a
i,
“
M
e
d
ia
P
e
n
d
i
d
ik
a
n
(
Ed
u
c
a
ti
o
n
M
e
d
ia
)
,
”
Ba
n
d
u
n
g
:
A
lu
m
n
i
Ba
n
d
u
n
g
,
2
0
0
2
.
[6
]
D.
R.
Ra
m
d
a
n
ia,
“
Us
e
o
f
F
las
h
F
li
p
Bo
o
k
M
e
d
ia
in
L
e
a
rn
in
g
I
n
f
o
rm
a
ti
o
n
a
n
d
C
o
m
m
u
n
ica
ti
o
n
T
e
c
h
n
o
lo
g
y
to
Im
p
ro
v
e
S
tu
d
e
n
t
L
e
a
rn
in
g
Ou
tco
m
e
s
(in
Ba
h
a
sa
:
P
e
n
g
g
u
n
a
a
n
M
e
d
ia
F
las
h
F
li
p
Bo
o
k
Da
la
m
P
e
m
b
e
laja
ra
n
T
e
k
n
o
lo
g
i
In
f
o
rm
a
si
Da
n
Ko
m
u
n
ik
a
si
Un
tu
k
M
e
n
in
g
k
a
tk
a
n
Ha
s
il
Be
laja
r
S
is
w
a
)
,
”
B
a
n
d
u
n
g
,
U
P
I
,
A
rti
k
.
Il
m
.
T
u
g
a
s
Ak
h
ir
,
2
0
1
3
.
[7
]
D.
R.
Ra
m
d
a
n
ia,
M
.
Ha
rik
a
,
S
.
R
a
h
m
a
d
ik
a
,
a
n
d
G
.
G
.
A
z
m
i
a
n
a
,
“
T
h
e
Us
e
o
f
R
e
latio
n
s a
n
d
F
u
n
c
ti
o
n
s G
a
m
e
s Ba
se
d
o
n
Ba
lan
c
e
d
De
sig
n
i
n
M
a
t
h
e
m
a
ti
c
s
S
u
b
jec
ts
to
Im
p
ro
v
e
S
t
u
d
e
n
t
L
e
a
rn
in
g
Ou
tco
m
e
s,”
J
o
u
rn
a
l
o
f
Ph
y
sic
s:
Co
n
fer
e
n
c
e
S
e
rie
s
,
v
o
l.
1
1
7
5
,
n
o
.
1
,
p
.
1
2
0
6
9
,
2
0
1
9
.
[8
]
D.
Ra
u
d
a
Ra
m
d
a
n
ia,
M
.
Ha
rik
a
,
S
.
Ra
h
m
a
d
ik
a
,
a
n
d
G
.
G
if
ti
a
Az
m
ian
a
,
“
T
h
e
Us
e
o
f
Re
latio
n
s
a
n
d
F
u
n
c
ti
o
n
s
G
a
m
e
s
Ba
s
e
d
o
n
Ba
lan
c
e
d
De
si
g
n
in
M
a
th
e
m
a
ti
c
s
S
u
b
jec
ts
t
o
I
m
p
ro
v
e
S
tu
d
e
n
t
L
e
a
rn
in
g
Ou
tco
m
e
s,”
J
.
Ph
y
s.
Co
n
f.
S
e
r.
,
v
o
l.
1
1
7
5
,
2
0
1
9
.
[9
]
Ke
m
d
ik
b
u
d
,
“
Mi
n
istry
o
f
Ed
u
c
a
ti
o
n
a
n
d
Cu
lt
u
re
o
f
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
lo
g
y
(in
Ba
h
a
sa
:
Ke
m
e
n
te
rian
p
e
n
d
i
d
ik
a
n
d
a
n
k
e
b
u
d
a
y
a
a
n
IP
T
EKS
)
,
”
2
0
1
4
.
[1
0
]
I.
Ha
d
it
a
m
a
,
C.
S
lam
e
t,
a
n
d
D
.
F
a
u
z
y
,
“
Im
p
le
m
e
n
tatio
n
o
f
F
i
sh
e
r
-
Ya
tes
a
n
d
F
u
z
z
y
T
su
k
a
m
o
to
A
lg
o
rit
h
m
s
in
th
e
A
n
d
ro
id
-
Ba
se
d
S
u
n
d
a
n
e
se
T
o
n
e
Qu
iz
G
a
m
e
(
in
B
a
h
sa
:
I
m
p
le
m
e
n
tas
i
A
l
g
o
rit
m
a
F
is
h
e
r
-
Ya
tes
Da
n
F
u
z
z
y
T
su
k
a
m
o
to
Da
la
m
G
a
m
e
Ku
is
T
e
b
a
k
Na
d
a
S
u
n
d
a
Be
rb
a
sis
A
n
d
ro
id
)
,
”
J
.
On
l
in
e
I
n
fo
rm
.
,
v
o
l.
1
,
n
o
.
1
,
p
p
.
5
1
–
5
8
,
2
0
1
6
.
[1
1
]
M
.
A
.
Ha
sa
n
,
S
.
S
u
p
ria
d
i,
a
n
d
Z.
Zam
z
a
m
i,
“
I
m
p
le
m
e
n
tatio
n
o
f
F
ish
e
r
-
Ya
tes
A
l
g
o
rit
h
m
to
Ra
n
d
o
m
ize
On
li
n
e
S
tu
d
e
n
t
A
d
m
issio
n
T
e
st
Qu
e
stio
n
s
(Ca
se
S
tu
d
y
:
L
a
n
c
a
n
g
Ku
n
in
g
Un
iv
e
rsit
y
,
Riau
)
(in
Ba
h
a
sa
:
Im
p
le
m
e
n
tas
i
A
l
g
o
rit
m
a
F
ish
e
r
-
Ya
tes
Un
tu
k
M
e
n
g
a
c
a
k
S
o
a
l
Ujian
On
li
n
e
P
e
n
e
rim
a
a
n
M
a
h
a
sis
w
a
B
a
ru
(S
tu
d
i
Ka
su
s
:
Un
iv
e
rsitas
L
a
n
c
a
n
g
Ku
n
in
g
Riau
)
)
,
”
J
.
Na
s.
T
e
k
n
o
l.
d
a
n
S
ist.
I
n
f.
,
v
o
l.
3
,
n
o
.
2
,
p
p
.
2
9
1
–
2
9
8
,
2
0
1
7
.
[1
2
]
N.
A
is
y
a
h
,
“
I
m
p
le
m
e
n
t
th
e
F
ish
e
r
Ya
tes
S
h
u
ff
le
M
e
th
o
d
f
o
r
ra
n
d
o
m
izin
g
q
u
e
stio
n
s
in
t
h
e
A
li
a
n
d
th
e
M
a
z
e
g
a
m
e
(in
Ba
h
a
sa
:
Im
p
lem
e
n
tas
i
M
e
to
d
e
F
ish
e
r
Ya
tes
S
h
u
f
f
le
u
n
tu
k
p
e
n
g
a
c
a
k
a
n
p
e
rtan
y
a
a
n
p
a
d
a
g
a
m
e
a
li
a
n
d
th
e
L
a
b
iri
n
,
”
Un
iv
e
rsitas
Isla
m
N
e
g
e
ri
M
a
u
lan
a
M
a
li
k
Ib
ra
h
im
,
2
0
1
5
.
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