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2
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m
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p
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n
s
iv
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d
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y
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s
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d
to
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b
tain
m
o
r
e
co
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p
lete
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f
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Pre
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s
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esear
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tr
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in
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ev
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v
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3
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in
v
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atin
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r
s
p
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tiv
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4
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,
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am
ely
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,
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n
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p
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tial
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io
r
ch
an
g
e
[
5
]
,
tr
ain
in
g
ef
f
ec
tiv
en
ess
[
6
]
,
an
d
tr
ain
i
n
g
f
ac
ilit
ies
[
7
]
.
T
h
is
r
esear
c
h
in
tr
o
d
u
ce
s
a
n
ew
ev
alu
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a
p
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h
th
at
is
a
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
tem
to
f
ac
ilit
ate
lo
g
ical,
r
atio
n
al
an
d
s
tr
u
ctu
r
ed
ass
ess
m
en
ts
b
y
im
p
lem
e
n
ted
f
u
zz
y
m
eth
o
d
,
wh
ich
ca
n
ac
ce
le
r
ate
p
e
r
f
o
r
m
a
n
ce
an
d
ac
cu
r
ac
y
o
f
t
h
e
ev
alu
atio
n
.
T
h
e
p
r
o
ce
s
s
is
ca
r
r
ied
o
u
t
b
y
f
o
r
m
i
n
g
a
s
et
o
n
ea
c
h
cr
iter
io
n
co
n
s
is
tin
g
o
f
:
n
o
t
-
s
atis
f
ac
to
r
y
,
less
-
s
atis
f
ac
to
r
y
,
q
u
ite
s
atis
f
y
in
g
,
s
atis
f
y
in
g
a
n
d
v
er
y
s
atis
f
y
in
g
.
B
ased
o
n
th
e
f
o
r
m
ed
s
ets,
in
f
er
e
n
ce
is
ca
r
r
ied
o
u
t
b
y
m
atch
i
n
g
th
e
v
alu
e
o
f
th
e
s
et
ag
ain
s
t
th
e
f
u
zz
y
r
u
les.
T
h
e
r
u
les
(
to
o
b
ta
in
a
d
ec
is
io
n
wh
ich
s
tate
s
th
a
t
th
e
q
u
ality
o
f
th
e
tr
ain
in
g
)
ar
e
n
o
t
g
o
o
d
,
m
o
d
er
a
te,
g
o
o
d
,
o
r
v
er
y
g
o
o
d
.
A
lo
t
o
f
s
tu
d
ies
im
p
lem
en
tin
g
th
e
f
u
zz
y
m
eth
o
d
f
o
r
ev
alu
at
io
n
h
av
e
b
ee
n
co
n
d
u
cte
d
s
o
f
ar
,
n
am
ely
f
u
zz
y
m
eto
d
e
f
o
r
ev
al
u
atin
g
t
h
e
p
er
f
o
r
m
an
ce
o
f
clo
u
d
s
er
v
i
ce
s
in
an
u
n
ce
r
tain
en
v
ir
o
n
m
e
n
t
[
8
]
,
ev
alu
atio
n
o
f
co
m
p
u
tin
g
s
y
s
tem
s
[
9
]
,
ev
alu
atio
n
an
d
s
u
p
p
lier
s
elec
tio
n
[
1
0
]
,
[
1
1
]
,
ev
alu
atio
n
wo
r
k
e
r
s
[
1
2
]
,
ev
alu
atio
n
o
f
t
h
e
p
e
r
f
o
r
m
a
n
c
e
o
f
s
m
a
l
l
a
n
d
m
e
d
i
u
m
e
n
t
e
r
p
r
i
s
e
s
[
1
3
]
,
c
i
ty
s
e
r
v
i
c
e
p
e
r
f
o
r
m
a
n
c
e
e
v
a
l
u
a
ti
o
n
[
1
4
]
,
e
m
p
l
o
y
e
e
p
e
r
f
o
r
m
a
n
c
e
e
v
a
l
u
a
t
i
o
n
[
1
5
]
,
[
16]
,
e
v
a
l
u
a
t
i
o
n
o
f
s
t
u
d
e
n
t
p
e
r
f
o
r
m
a
n
c
e
[
1
7
]
-
[
20]
,
o
n
l
i
n
e
l
e
a
r
n
i
n
g
e
v
a
l
u
a
t
i
o
n
[
2
1
]
,
an
d
a
co
u
r
s
e
r
ec
o
m
m
en
d
atio
n
s
y
s
tem
[
2
2
]
.
I
t
ca
n
b
e
c
o
n
clu
d
ed
t
h
at
th
o
s
e
s
tu
d
y
o
n
ly
u
s
ed
m
ax
im
u
m
two
ass
es
s
m
en
t
asp
ec
ts
/a
s
s
e
s
s
m
en
t
in
d
icato
r
s
.
W
h
ile
th
is
r
esea
r
ch
em
p
lo
y
s
s
ix
ass
ess
m
en
t
p
ar
am
eter
s
o
f
th
e
tr
ain
in
g
q
u
ality
ev
alu
atio
n
,
in
c
lu
d
in
g
co
ac
h
,
lectu
r
e
r
,
p
r
ea
c
h
er
,
m
en
to
r
,
ex
am
in
e
r
an
d
o
r
g
a
n
izer
.
Fu
r
th
er
m
o
r
e,
th
e
f
u
zz
y
m
eth
o
d
is
u
s
ed
in
t
h
is
s
tu
d
y
s
in
ce
it
in
d
icate
s
a
g
o
o
d
p
e
r
f
o
r
m
an
ce
in
m
o
s
t
o
f
th
e
p
r
ev
io
u
s
s
tu
d
ies.
Mo
r
eo
v
er
,
th
is
s
tu
d
y
h
as si
g
n
i
f
ican
t similar
ity
with
th
o
s
e
s
tu
d
ies
as we
ll.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
.
M
et
ho
d
T
h
is
r
esear
ch
was
co
n
d
u
cted
u
s
in
g
a
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
tem
ap
p
r
o
ac
h
with
th
e
Fu
zz
y
m
eth
o
d
.
A
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
tem
is
an
in
te
r
ac
tiv
e
co
m
p
u
ter
-
b
ase
d
s
y
s
tem
th
at
is
u
s
ed
to
ass
is
t
u
s
er
s
in
th
e
r
ig
h
t
d
ec
is
io
n
-
m
ak
in
g
p
r
o
ce
s
s
[
2
3
]
,
wh
er
e
a
co
m
p
u
ter
-
b
ased
s
y
s
tem
s
u
p
p
o
r
ts
p
r
o
ce
s
s
in
g
d
ata
i
n
to
in
f
o
r
m
atio
n
f
o
r
e
x
p
l
i
c
i
t
d
e
ci
s
i
o
n
-
m
a
k
i
n
g
f
r
o
m
s
e
m
i
-
s
t
r
u
c
t
u
r
e
d
p
r
o
b
l
e
m
s
[
2
4
]
,
m
e
a
n
w
h
i
l
e
,
f
u
z
z
y
is
a
l
o
g
i
c
t
h
a
t
c
a
n
d
e
s
c
r
i
b
e
t
h
e
i
n
p
u
t
s
p
a
c
e
i
n
t
o
o
u
t
p
u
t
a
n
d
h
as
a
s
u
s
t
a
i
n
a
b
le
v
a
l
u
e
.
F
u
z
z
y
l
o
g
i
c
is
e
x
p
r
e
s
s
e
d
b
y
t
h
e
d
e
g
r
e
e
o
f
a
u
t
h
e
n
t
i
ci
t
y
a
n
d
m
e
m
b
e
r
s
h
i
p
.
T
h
e
r
e
f
o
r
e
a
l
l o
f
th
e
m
a
r
e
f
a
ls
e
o
r
t
r
u
e
at
t
h
e
s
am
e
t
i
m
e
w
it
h
a
t
r
u
t
h
v
a
l
u
e
r
a
n
g
i
n
g
f
r
o
m
0
t
o
1
[
2
5
]
.
T
h
e
r
e
ar
e
s
ev
er
al
th
i
n
g
s
th
at
ar
e
d
o
n
e
in
p
r
o
ce
s
s
in
g
d
ata
u
s
in
g
f
u
zz
y
,
n
a
m
ely
d
eter
m
in
i
n
g
th
e
v
ar
iab
les
a
n
d
th
e
v
alu
e
o
f
ea
ch
v
a
r
iab
le.
Ne
x
t
,
f
o
r
m
a
s
et
b
ased
o
n
v
a
r
iab
le
v
alu
es
b
y
d
o
i
n
g
f
u
zz
if
icatio
n
in
o
r
d
er
to
k
n
o
w
th
e
m
em
b
er
s
h
ip
v
alu
e
o
f
ea
c
h
cr
iter
ia.
T
h
e
f
o
r
m
atio
n
o
f
f
u
zz
y
s
ets
in
in
p
u
t
an
d
o
u
tp
u
t
v
ar
iab
les
is
d
iv
id
e
d
in
to
o
n
e
o
r
m
o
r
e
f
u
zz
y
s
ets.
T
o
o
b
tain
m
e
m
b
er
s
h
ip
v
alu
e
is
d
o
n
e
th
r
o
u
g
h
a
f
u
n
ctio
n
al
ap
p
r
o
ac
h
.
T
h
e
m
em
b
er
s
h
ip
f
u
n
ctio
n
u
s
ed
is
a
tr
ian
g
le
cu
r
v
e
r
ep
r
esen
tatio
n
s
h
o
wn
in
Fig
u
r
e
1
.
Fig
u
r
e
1
.
T
r
ian
g
le
cu
r
v
e
r
e
p
r
e
s
en
tatio
n
T
h
e
f
o
llo
win
g
is
th
e
f
o
r
m
u
l
a
u
s
ed
to
r
ep
r
esen
t
t
h
e
m
em
b
er
s
h
ip
f
u
n
ctio
n
o
f
th
e
tr
ian
g
le
cu
r
v
e
.
Descr
ip
tio
n
o
f
th
e
f
o
r
m
u
la
to
r
ep
r
esen
t
th
e
tr
ian
g
u
lar
cu
r
v
e
m
em
b
er
s
h
ip
f
u
n
ctio
n
,
n
am
e
ly
µ[
x
]
(
d
e
g
r
ee
o
f
m
em
b
er
s
h
ip
o
f
x
)
,
x
(
v
ar
ia
b
le
u
n
iv
er
s
e
o
f
s
p
ee
c
h
)
,
a
(
li
n
g
u
is
tic
v
alu
e
I
)
,
b
(
lin
g
u
is
ti
c
v
alu
e
I
I
)
,
an
d
c
(l
in
g
u
is
tic
v
alu
e
I
I
I
)
.
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
Dec
is
io
n
s
u
p
p
o
r
t sys
tem
o
n
q
u
a
lity
a
s
s
ess
men
t o
f th
e
p
r
o
s
p
e
ctive
civil
s
erva
n
t’
s
ed
u
ca
tio
n
…
(
A
r
is
S
u
s
a
n
to
)
521
[
]
=
{
0
;
≤
≥
c
−
−
;
≤
≤
−
−
;
≤
≤
(
1
)
B
ased
o
n
th
e
s
et
v
alu
e
f
o
r
m
ed
,
in
f
er
en
ce
is
ca
r
r
ied
o
u
t
to
o
b
tain
r
u
les
th
at
m
atch
th
e
f
u
zz
y
s
et
v
alu
e.
T
h
e
in
f
er
e
n
ce
en
g
in
e
h
as
in
f
er
en
ce
r
u
les
to
ev
al
u
ate
lin
g
u
is
tic
v
alu
es
an
d
m
ap
th
em
to
f
u
zz
y
s
ets
wh
ich
r
eq
u
ir
e
a
d
ef
u
zz
if
icatio
n
p
r
o
c
ess
to
co
n
v
er
t
th
em
in
t
o
cr
is
p
v
alu
es
[
2
6
]
.
On
e
o
f
th
e
FIS
m
eth
o
d
s
u
s
ed
f
o
r
d
ec
is
io
n
m
ak
in
g
is
th
e
T
s
u
k
am
o
to
m
eth
o
d
.
T
h
e
T
s
u
k
am
o
t
o
m
eth
o
d
is
an
ex
ten
s
io
n
o
f
m
en
o
to
n
r
ea
s
o
n
in
g
wh
e
r
e
ev
er
y
co
n
s
eq
u
en
ce
o
f
t
h
e
I
F
-
t
h
en
r
u
le
m
u
s
t
b
e
p
r
esen
ted
with
a
f
u
zz
y
s
et
with
a
m
em
b
er
s
h
ip
f
u
n
ctio
n
th
at
co
u
n
ts
.
As a
r
esu
lt,
th
e
in
f
er
en
ce
o
u
tp
u
t o
f
ea
ch
r
u
le
is
cr
is
p
b
ased
o
n
a
-
p
r
ed
icate
(
f
ir
e
s
tr
en
g
h
t)
.
T
h
e
f
in
al
r
esu
lts
ar
e
o
b
tain
ed
u
s
in
g
w
eig
h
ted
av
e
r
ag
es.
T
o
d
eter
m
i
n
e
th
e
cr
is
p
s
o
lu
tio
n
,
a
d
ef
u
zz
if
icatio
n
f
o
r
m
u
la
ca
lled
th
e
ce
n
ter
ed
av
er
a
g
e
m
eth
o
d
is
u
s
ed
.
T
h
e
f
u
zz
y
in
f
e
r
en
ce
s
y
s
tem
d
ia
g
r
am
is
s
h
o
wn
in
Fig
u
r
e
2
.
As
f
o
r
m
ak
in
g
co
n
clu
s
io
n
s
ab
o
u
t
th
e
ev
alu
atio
n
o
f
th
e
q
u
ality
o
f
t
h
e
im
p
lem
en
tatio
n
o
f
ed
u
ca
tio
n
an
d
tr
ai
n
in
g
in
th
is
s
tu
d
y
,
th
e
o
r
d
in
al
m
ea
s
u
r
em
en
t
s
ca
le
p
u
b
lis
h
ed
b
y
t
h
e
State
Ad
m
in
is
tr
a
tio
n
I
n
s
titu
te
in
th
e
s
o
cializa
tio
n
m
o
d
u
le
o
f
th
e
p
er
f
o
r
m
an
ce
ac
co
u
n
tab
ilit
y
s
y
s
tem
o
f
g
o
v
e
r
n
m
en
t a
g
en
cies is u
s
ed
[
2
7
]
.
Fig
u
r
e
2
.
Fu
zz
y
in
f
er
e
n
ce
s
y
s
tem
d
iag
r
am
2
.
2
.
D
a
t
a
s
et
T
h
e
d
ata
p
r
o
ce
s
s
ed
in
th
is
s
tu
d
y
ar
e
o
b
tain
e
d
f
r
o
m
q
u
esti
o
n
n
air
es
f
illed
b
y
th
e
tr
ain
in
g
p
ar
ticip
an
ts
th
r
o
u
g
h
th
e
ed
u
ca
tio
n
an
d
tr
ai
n
in
g
in
f
o
r
m
atio
n
s
y
s
tem
ap
p
li
ca
tio
n
.
T
h
e
p
ar
ticip
a
n
ts
d
ev
id
ed
in
to
two
class
es
c
iv
il
se
rv
a
n
t
class
I
I
an
d
c
i
v
il
se
rv
a
n
t
class
I
I
I
,
wh
e
r
e
ea
c
h
cl
ass
co
n
s
is
ts
o
f
f
o
u
r
(
4
)
b
atch
e
s
.
T
o
tal
p
a
r
ticip
an
ts
f
o
r
class
I
I
ar
e
1
5
8
p
er
s
o
n
s
,
wh
ile
f
o
r
class
I
I
I
ar
e
1
5
5
p
er
s
o
n
s
.
T
h
o
s
e
p
ar
ticip
an
ts
g
a
v
e
f
ee
d
b
ac
k
o
n
s
ix
cr
iter
ia,
n
am
ely
;
co
ac
h
,
lectu
r
e,
p
r
ea
c
h
er
,
m
en
to
r
,
ex
am
i
n
er
,
an
d
o
r
g
an
izer
.
E
a
ch
cr
iter
io
n
h
as
m
o
r
e
s
p
ec
if
ic
s
u
b
-
cr
iter
ias
as
p
r
o
v
id
ed
i
n
th
e
q
u
esti
o
n
n
air
e.
Nu
m
b
er
o
f
p
ar
ticip
an
t’
s
f
ee
d
b
ac
k
s
f
o
r
ea
c
h
cr
iter
io
n
in
ea
c
h
b
atch
ar
e
r
ec
a
p
itu
late
in
T
ab
le
1
,
wh
ich
wer
e
p
r
o
ce
s
s
ed
as d
ata
tr
ain
in
g
in
th
is
r
esear
c
h
.
T
ab
le
1
.
Feed
b
ac
k
r
ec
a
p
itu
latio
n
o
f
civ
il ser
v
an
ts
class
ii a
n
d
class
III
tr
ain
in
g
C
l
a
s
s II
C
l
a
s
s II
I
N
o
.
C
r
i
t
e
r
i
a
F
o
r
c
e
To
t
a
l
F
o
r
c
e
To
t
a
l
VIII
IX
X
XI
LX
I
LX
I
I
LX
I
I
I
LX
I
V
1
C
o
a
c
h
39
40
39
40
1
5
8
38
39
39
39
1
5
5
2
Le
c
t
u
r
e
r
8
0
9
7
3
0
7
6
1
7
1
9
3
0
1
9
7
2
0
7
1
1
6
9
7
6
7
5
2
8
0
3
3
P
r
e
a
c
h
e
r
1
1
4
1
1
7
1
2
2
1
1
4
4
6
7
1
0
5
1
1
0
1
1
4
1
0
3
4
3
2
4
M
e
n
t
o
r
40
40
40
40
1
6
0
38
38
38
39
1
5
3
5
Ex
a
m
i
n
e
r
50
51
47
52
2
0
0
46
41
44
46
1
7
7
6
O
r
g
a
n
i
z
e
r
38
39
40
41
1
5
8
36
39
37
37
1
4
9
Nu
m
b
er
o
f
r
esp
o
n
d
en
ts
f
o
r
th
e
lectu
r
er
,
p
r
ea
ch
er
,
an
d
ex
am
in
er
cr
iter
ia
h
av
e
m
o
r
e
d
ata
th
an
cr
iter
ia
co
ac
h
,
m
e
n
to
r
,
an
d
o
r
g
a
n
izer
cr
iter
ia
s
in
ce
th
er
e
a
r
e
m
o
r
e
lectu
r
er
s
,
p
r
ea
c
h
er
s
,
an
d
ex
a
m
in
er
s
in
ch
ar
g
e
in
ea
ch
b
atch
.
T
h
e
to
p
ics
tau
g
h
t
b
y
lectu
r
er
ar
e
;
i
)
g
r
o
u
p
d
y
n
am
ics
,
ii
)
n
atio
n
al
in
s
ig
h
ts
,
iii
)
an
aly
s
is
o
f
co
n
tem
p
o
r
ar
y
is
s
u
es
,
iv
)
ac
c
o
u
n
tab
ilit
y
,
v
)
n
atio
n
alis
m
,
vi
)
p
u
b
lic
eth
ics,
v
ii
)
q
u
ality
co
m
m
itm
en
t,
v
iii
)
an
ti
-
co
r
r
u
p
ti
o
n
,
ix
)
ASN
m
an
ag
e
m
en
t,
x
)
wh
o
le
o
f
g
o
v
er
n
m
e
n
t
(
W
OG)
,
xi
)
p
u
b
lic
s
er
v
ices,
x
ii
)
s
tate
d
e
f
en
s
e,
x
ii
)
ac
tu
aliza
tio
n
co
n
ce
p
t,
x
i
v
)
ex
p
lan
atio
n
o
f
ac
tu
aliza
tio
n
.
W
h
ile
to
p
ics
d
eliv
er
ed
b
y
p
r
ea
ch
er
s
,
n
am
ely
;
i
)
h
u
m
a
n
r
eso
u
r
ce
s
d
ev
el
o
p
m
en
t
p
o
licy
f
o
r
ap
p
a
r
atu
s
an
d
ASN
v
alu
es,
ii
)
tech
n
ical
s
u
b
s
tan
tiv
e
co
n
ten
t
o
f
I
n
s
titu
tio
n
I
,
iii
)
s
u
b
s
tan
tiv
e
tech
n
ical
co
n
ten
ts
o
f
I
n
s
titu
tio
n
I
I
.
Me
an
wh
ile,
ex
am
i
n
er
s
ar
e
ass
es
s
ed
b
ased
o
n
th
e
test
r
esu
lts
o
n
th
e
ac
tu
ali
za
tio
n
d
esig
n
ex
am
a
n
d
th
e
ac
tu
aliza
tio
n
r
esu
lts
.
Fu
r
th
er
m
o
r
e,
b
ased
o
n
th
e
r
esu
lts
o
f
th
e
p
ar
ticip
an
t'
s
ass
es
s
m
en
t,
ev
alu
atio
n
d
ata
wer
e
o
b
tain
e
d
.
T
a
b
le
2
s
h
o
ws
an
ex
am
p
le
o
n
p
ar
ticip
an
t'
s
ass
e
s
s
m
en
t r
esu
lt
f
o
r
co
ac
h
cr
iter
ia.
B
ased
o
n
th
e
v
a
r
iab
les
an
d
d
o
m
ain
s
o
f
th
e
p
r
ed
eter
m
in
ed
f
u
zz
y
s
et,
th
e
n
e
x
t
s
tep
is
to
ca
l
cu
late
th
e
v
alu
e
o
f
th
e
d
eg
r
ee
o
f
m
em
b
er
s
h
ip
b
ased
o
n
th
e
m
em
b
e
r
s
h
ip
f
u
n
ctio
n
o
f
th
e
co
ac
h
,
lectu
r
er
,
p
r
ea
ch
e
r
,
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.
24
,
No
.
1
,
Octo
b
er
2
0
2
1
:
5
19
-
5
29
522
m
en
to
r
,
ex
am
in
e
r
,
a
n
d
o
r
g
an
i
ze
r
v
ar
ia
b
les
as
a
p
er
ce
n
ta
g
e
o
f
th
e
av
e
r
ag
e
v
alu
e
o
f
th
e
tr
ain
in
g
p
ar
ticip
an
ts
'
q
u
esti
o
n
n
air
es.
T
o
s
h
o
w
th
e
d
ata
p
r
o
ce
s
s
in
g
in
th
is
s
tu
d
y
,
c
iv
il
se
rv
a
n
t
class
I
I
tr
ain
in
g
d
at
a
wer
e
u
s
ed
wh
er
e
th
e
av
er
a
g
e
s
co
r
e
o
f
th
e
c
o
ac
h
'
s
as
s
es
s
m
en
t
was
9
2
,
th
e
lect
u
r
er
was
9
2
,
t
h
e
p
r
ea
ch
er
was
9
3
,
th
e
m
en
t
o
r
was
9
2
,
th
e
e
x
am
in
er
was 9
3
,
an
d
t
h
e
o
r
g
a
n
izer
was 8
5
.
T
ab
le
2
.
C
o
ac
h
c
r
iter
ia
ev
alu
a
tio
n
d
ata
R
e
s
p
o
n
d
e
n
t
s
X1
X2
X3
X4
X5
X6
1
97
95
95
97
98
95
2
98
97
98
99
98
98
-
-
-
-
-
-
-
3
1
3
92
93
93
93
92
92
2
.
3
.
F
uzzif
ica
t
io
n
T
h
e
s
et
o
f
i
n
p
u
t
v
a
r
i
a
b
l
es
c
o
n
s
i
s
t
s
o
f
n
o
t
s
a
ti
s
f
a
ct
o
r
y
(
0
5
0
6
0
)
,
u
n
s
a
t
is
f
a
c
t
o
r
y
(
5
0
6
0
7
0
)
,
q
u
i
t
e
s
a
t
is
f
a
ct
o
r
y
(
6
0
7
0
8
0
)
,
s
at
is
f
ac
t
o
r
y
(
7
0
8
0
9
0
)
,
v
e
r
y
s
a
t
is
f
a
c
to
r
y
(
8
0
9
0
1
0
0
)
.
W
h
i
l
e
t
h
e
s
et
o
f
o
u
t
p
u
t
v
a
r
i
a
b
l
e
s
c
o
n
s
i
s
t
s
o
f
p
o
o
r
(
0
5
4
)
,
m
e
d
i
u
m
(
5
5
6
9
)
,
g
o
o
d
(
7
0
8
4
)
,
a
n
d
v
e
r
y
g
o
o
d
(
8
5
1
0
0
).
T
o
d
e
t
e
r
m
i
n
e
t
h
e
a
s
s
o
c
ia
t
i
o
n
g
r
o
u
p
,
r
e
f
e
r
t
o
t
h
e
g
o
v
e
r
n
m
e
n
t
a
g
e
n
c
y
p
e
r
f
o
r
m
a
n
c
e
a
c
c
o
u
n
t
a
b
i
l
i
t
y
s
y
s
t
e
m
[
2
7
]
.
T
h
e
f
o
r
m
u
l
a
t
e
d
t
h
a
t
a
r
e
u
s
e
d
i
n
p
e
r
f
o
r
m
i
n
g
f
u
z
z
y
c
a
l
c
u
l
a
t
i
o
n
s
a
r
e
,
t
h
e
c
r
i
t
e
r
i
a
f
o
r
t
h
e
m
e
m
b
e
r
s
h
i
p
f
u
n
c
t
i
o
n
o
f
t
h
e
c
o
a
c
h
a
r
e
f
o
r
m
u
l
a
t
e
d
,
μ
[
x
1
]
=
N
ot
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
1
;
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1
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50
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60
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;
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= 0
μ
[
x
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Unsa
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tor
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μ
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=
{
(
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60
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;
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60
70
−
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1
70
−
60
;
60
≤
x
1
≥
70
0
;
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1
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70
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)
= 0
μ
[
x
1
]
=
Quite
s
a
tisfa
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tor
y
μ
(
92
)
=
{
(
x
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60
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70
−
60
;
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≤
x
1
≥
70
80
−
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1
80
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70
;
70
≤
x
1
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80
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1
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80
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4
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= 0
μ
[
x
1
]
=
Sa
tisfa
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tor
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μ
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92
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=
{
(
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80
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70
;
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≤
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1
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80
90
−
x
1
90
−
80
;
80
≤
x
1
≥
90
0
;
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1
≥
90
(
5
)
= 0
μ
[
x
1
]
=
Ve
r
y
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
0
;
x
1
≤
80
x
1
−
80
90
−
80
;
80
≤
x
1
≥
90
1
;
x
1
≥
90
(
6
)
= 1
th
e
m
em
b
er
s
h
ip
f
u
n
ctio
n
o
f
th
e
lectu
r
er
’
s
cr
iter
io
n
is
f
o
r
m
u
l
ated
,
μ
[
x
2
]
=
N
ot
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
1
;
x
2
≤
50
60
−
x
2
60
−
50
;
50
≤
x
2
≥
60
0
;
x
2
≥
60
(
7
)
= 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
Dec
is
io
n
s
u
p
p
o
r
t sys
tem
o
n
q
u
a
lity
a
s
s
ess
men
t o
f th
e
p
r
o
s
p
e
ctive
civil
s
erva
n
t’
s
ed
u
ca
tio
n
…
(
A
r
is
S
u
s
a
n
to
)
523
μ
[
x
2
]
=
Unsa
tisfa
c
tor
y
μ
(
92
)
=
{
(
x
2
−
50
)
60
−
50
;
50
≤
x
2
≥
60
70
−
x
2
70
−
60
;
60
≤
x
2
≥
70
0
;
x
2
≥
70
(
8
)
= 0
μ
[
x
2
]
=
Quite
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
(
x
2
−
60
)
70
−
60
;
60
≤
x
2
≥
70
80
−
x
2
80
−
70
;
70
≤
x
2
≥
80
0
;
x
2
≥
80
(
9
)
= 0
μ
[
x
2
]
=
Sa
tisfa
c
tor
y
μ
(
92
)
=
{
(
x
2
−
70
)
80
−
70
;
70
≤
x
2
≥
80
90
−
x
2
90
−
80
;
80
≤
x
2
≥
90
0
;
x
2
≥
90
(
1
0
)
= 0
μ
[
x
2
]
=
Ve
r
y
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
0
;
x
2
≤
80
x
2
−
80
90
−
80
;
80
≤
x
2
≥
90
1
;
x
2
≥
90
(
1
1
)
= 1
th
e
m
em
b
er
s
h
ip
f
u
n
ctio
n
o
f
th
e
p
r
ea
ch
er
’
s
cr
iter
io
n
is
f
o
r
m
u
lated
,
μ
[
x
3
]
=
N
ot
s
a
tisfa
c
tor
y
μ
(
93
)
=
{
1
;
x
3
≤
50
60
−
x
3
60
−
50
;
50
≤
x
3
≥
60
0
;
x
3
≥
60
(
1
2
)
= 0
μ
[
x
3
]
=
Unsa
tisfa
c
tor
y
μ
(
93
)
=
{
(
x
3
−
50
)
60
−
50
;
50
≤
x
3
≥
60
70
−
x
3
70
−
60
;
60
≤
x
3
≥
70
0
;
x
3
≥
70
(
1
3
)
= 0
μ
[
x
3
]
=
Quite
s
a
tisfa
c
tor
y
μ
(
93
)
=
{
(
x
3
−
60
)
70
−
60
;
60
≤
x
3
≥
70
80
−
x
3
80
−
70
;
70
≤
x
3
≥
80
0
;
x
3
≥
80
(
1
4
)
= 0
μ
[
x
3
]
=
Sa
tisfa
c
tor
y
μ
(
93
)
=
{
(
x
3
−
70
)
80
−
70
;
70
≤
x
3
≥
80
90
−
x
3
90
−
80
;
80
≤
x
3
≥
90
0
;
x
3
≥
90
(
1
5
)
= 0
μ
[
x
3
]
=
Ve
r
y
s
a
tisfa
c
tor
y
μ
(
93
)
=
{
0
;
x
3
≤
80
x
3
−
80
90
−
80
;
80
≤
x
3
≥
90
1
;
x
3
≥
90
(
1
6
)
= 1
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.
24
,
No
.
1
,
Octo
b
er
2
0
2
1
:
5
19
-
5
29
524
th
e
m
en
to
r
’
s
cr
iter
io
n
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
is
f
o
r
m
u
lated
,
μ
[
x
4
]
=
N
ot
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
1
;
x
4
≤
50
60
−
x
4
60
−
50
;
50
≤
x
4
≥
60
0
;
x
4
≥
60
(
1
7
)
= 0
μ
[
x
4
]
=
Unsa
tisfa
c
tor
y
μ
(
92
)
=
{
(
x
4
−
50
)
60
−
50
;
50
≤
x
4
≥
60
70
−
x
4
70
−
60
;
60
≤
x
4
≥
70
0
;
x
4
≥
70
(
1
8
)
= 0
μ
[
x
4
]
=
Quite
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
(
x
4
−
60
)
70
−
60
;
60
≤
x
4
≥
70
80
−
x
4
80
−
70
;
70
≤
x
4
≥
80
0
;
x
4
≥
80
(
1
9
)
= 0
μ
[
x
4
]
=
Sa
tisfa
c
tor
y
μ
(
92
)
=
{
(
x
4
−
70
)
80
−
70
;
70
≤
x
4
≥
80
90
−
x
4
90
−
80
;
80
≤
x
4
≥
90
0
;
x
4
≥
90
(
2
0
)
= 0
x
μ
[
x
4
]
=
Ve
r
y
s
a
tisfa
c
tor
y
μ
(
92
)
=
{
0
;
x
4
≤
80
x
4
−
80
90
−
80
;
80
≤
x
4
≥
90
1
;
x
4
≥
90
(
2
1
)
= 1
th
e
m
em
b
er
s
h
ip
f
u
n
ctio
n
o
f
th
e
ex
am
in
er
’
s
cr
iter
io
n
is
f
o
r
m
u
lated
,
μ
[
x
5
]
=
N
ot
s
a
tisfa
c
tor
y
μ
(
93
)
=
{
1
;
x
5
≤
50
60
−
x
5
60
−
50
;
50
≤
x
5
≥
60
0
;
x
5
≥
60
(
2
2
)
= 0
μ
[
x
5
]
=
Unsa
tisfa
c
tor
y
μ
(
93
)
=
{
(
x
5
−
50
)
60
−
50
;
50
≤
x
5
≥
60
70
−
x
5
70
−
60
;
60
≤
x
5
≥
70
0
;
x
5
≥
70
(
2
3
)
= 0
μ
[
x
5
]
=
Quite
s
a
tisfa
c
tor
y
μ
(
93
)
=
{
(
x
5
−
60
)
70
−
60
;
60
≤
x
5
≥
70
80
−
x
5
80
−
70
;
70
≤
x
5
≥
80
0
;
x
5
≥
80
(
2
4
)
= 0
μ
[
x
5
]
=
Sa
tisfa
c
tor
y
μ
(
93
)
=
{
(
x
5
−
70
)
80
−
70
;
70
≤
x
5
≥
80
90
−
x
5
90
−
80
;
80
≤
x
5
≥
90
0
;
x
5
≥
90
(
2
5
)
= 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
Dec
is
io
n
s
u
p
p
o
r
t sys
tem
o
n
q
u
a
lity
a
s
s
ess
men
t o
f th
e
p
r
o
s
p
e
ctive
civil
s
erva
n
t’
s
ed
u
ca
tio
n
…
(
A
r
is
S
u
s
a
n
to
)
525
μ
[
x
5
]
=
Ve
r
y
s
a
tisfa
c
tor
y
μ
(
93
)
=
{
0
;
x
5
≤
80
x
5
−
80
90
−
80
;
80
≤
x
5
≥
90
1
;
x
5
≥
90
(
2
6
)
= 1
t
h
e
m
em
b
er
s
h
ip
f
u
n
ctio
n
o
f
th
e
o
r
g
an
ize
r
’
s
cr
i
ter
io
n
is
f
o
r
m
u
lated
,
μ
[
x
6
]
=
N
ot
s
a
tisfa
c
tor
y
μ
(
85
)
=
{
1
;
x
6
≤
50
60
−
x
6
60
−
50
;
50
≤
x
6
≥
60
0
;
x
6
≥
60
(
2
7
)
= 0
μ
[
x
6
]
=
Unsa
tisfa
c
tor
y
μ
(
85
)
=
{
(
x
6
−
50
)
60
−
50
;
50
≤
x
6
≥
60
70
−
x
6
70
−
60
;
60
≤
x
6
≥
70
0
;
x
6
≥
70
(
2
8
)
= 0
μ
[
x
6
]
=
Quite
s
a
tisfa
c
tor
y
μ
(
85
)
=
{
(
x
6
−
60
)
70
−
60
;
60
≤
x
6
≥
70
80
−
x
6
80
−
70
;
70
≤
x
6
≥
80
0
;
x
6
≥
80
(
2
9
)
= 0
μ
[
x
6
]
=
Sa
tisfa
c
tor
y
μ
(
85
)
=
{
(
x
6
−
70
)
80
−
70
;
70
≤
x
6
≥
80
90
−
x
6
90
−
80
;
80
≤
x
6
≥
90
0
;
x
6
≥
90
(
3
0
)
=
0
.
5
μ
[
x
6
]
=
Ve
r
y
s
a
tisfa
c
tor
y
μ
(
85
)
=
{
0
;
x
6
≤
80
x
6
−
80
90
−
80
;
80
≤
x
6
≥
90
1
;
x
6
≥
90
(
3
1
)
=
0
.
5
2
.
4
.
I
nfe
re
nces
T
h
e
s
et
v
alu
e
(
µ)
f
o
r
ea
c
h
v
a
r
iab
le
is
en
ter
ed
in
t
h
e
p
r
ed
ete
r
m
in
ed
f
u
zz
y
r
u
le
to
f
in
d
th
e
z
v
alu
e.
I
n
th
is
s
tu
d
y
,
th
er
e
ar
e
two
f
u
z
zy
r
u
les
th
at
m
atch
th
e
s
et
v
alu
e
o
f
e
ac
h
v
ar
iab
le
f
r
o
m
th
e
ex
is
tin
g
th
ir
tee
n
th
o
u
s
an
d
r
u
les,
n
am
ely
,
[
R
1
3
0
9
9
]
I
f
(
X1
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X2
v
e
r
y
s
atis
f
ac
to
r
y
)
AND
(
X3
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X4
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X5
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X6
s
atis
f
ac
to
r
y
)
T
HE
N
(
Y
v
er
y
g
o
o
d
)
(
3
2
)
[
R
1
3
1
0
0
]
I
f
(
X1
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X2
v
e
r
y
s
atis
f
ac
to
r
y
)
AND
(
X3
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X4
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X5
v
er
y
s
atis
f
ac
to
r
y
)
AND
(
X6
v
er
y
s
atis
f
ac
to
r
y
)
T
HE
N
(
Y
v
er
y
g
o
o
d
)
(
3
3
)
b
ased
o
n
th
e
r
u
le
ac
co
r
d
in
g
t
o
th
e
s
et
v
alu
e,
th
en
th
e
v
alu
e
α
-
p
r
ed
icate
o
f
ea
ch
r
u
le
is
ca
lcu
lated
with
th
e
Min
im
p
licatio
n
f
u
n
c
tio
n
,
α
_
p
r
ed
icat
e1
=
m
i
n
[
µx
1
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µx
2
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µx
3
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µx
4
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µ
x
5
(
Ve
r
y
Satis
f
ac
to
r
y
)
Ո
µ
x
6
(
Satis
f
ac
to
r
y
)
,
=
m
in
(
1
,
1
,
1
,
1
,
1
,
0
.
5
)
=
0
,
5
zi
=
9
2
.
5
(
3
4
)
α
_
p
r
e
d
icate
2
=
m
in
[
µx
1
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µ
x
2
(
V
er
y
Satis
f
ac
to
r
y
)
Ո
µx
3
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µx
4
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µx
5
(
Ver
y
Satis
f
ac
to
r
y
)
Ո
µ
x
6
(
Ve
r
y
Satis
f
ac
to
r
y
)
=
m
in
(
1
,
1
,
1
,
1
,
1
,
0
.
5
)
=
0
,
5
zi
=
9
2
.
5
(
3
5
)
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.
24
,
No
.
1
,
Octo
b
er
2
0
2
1
:
5
19
-
5
29
526
2
.
5
.
De
f
uzzif
ica
t
io
n
Fu
r
th
er
m
o
r
e
,
th
e
p
r
o
ce
s
s
o
f
c
o
n
v
er
tin
g
th
e
o
u
tp
u
t
f
r
o
m
th
e
in
f
er
en
ce
s
y
s
tem
in
to
a
cr
is
p
f
o
r
m
u
s
es
th
e
m
em
b
e
r
s
h
ip
f
u
n
ctio
n
to
b
ec
o
m
e
a
v
alu
e.
T
h
e
d
ef
u
zz
if
ic
atio
n
m
eth
o
d
u
s
ed
is
th
e
av
er
a
g
e
m
et
h
o
d
with
th
e
f
o
llo
win
g
eq
u
atio
n
,
=
∑
.
∑
(
3
6
)
a
f
ter
ca
r
r
y
in
g
o
u
t
th
e
s
y
s
tem
in
f
er
e
n
ce
p
r
o
ce
s
s
,
th
e
r
u
le
ac
co
r
d
in
g
to
t
h
e
s
et
v
al
u
e
in
ea
c
h
v
ar
iab
le
is
ca
lcu
lated
th
e
z
v
alu
e
with
th
e
av
er
ag
e
f
o
r
m
u
la,
z
=
(
(
0
.
5
x
9
2
.
5
)
+
(
0
.
5
x
9
2
.
5
)
)
/ (
0
.
5
+
0
.
5
)
z
=
(
4
6
.
2
5
+
4
6
.
2
5
)
/
1
=
9
2
.
5
0
(
3
7
)
3.
RE
SU
L
T
S
A
ND
D
IS
CU
S
S
I
O
N
3
.
1
.
I
m
plem
ent
a
t
io
n
o
f
decisi
o
n su
pp
o
rt
s
y
s
t
em
wit
h f
uzzy
m
et
ho
d
B
ased
o
n
th
e
f
u
zz
if
icatio
n
p
r
o
ce
s
s
o
n
th
e
tr
ain
in
g
ass
ess
m
en
t
d
ata
,
s
et
s
ar
e
f
o
r
m
ed
f
o
r
ea
c
h
cr
iter
io
n
in
ea
ch
c
iv
il
se
rv
a
n
ts
tr
ain
i
n
g
class
.
I
n
c
iv
il
se
rv
a
n
t
t
r
ain
in
g
c
lass
I
I
,
f
o
r
th
e
c
o
ac
h
,
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r
e
r
,
p
r
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e
r
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d
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in
er
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a
r
e
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r
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f
y
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et
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al
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0
f
o
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ch
,
wh
ile
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o
r
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e
o
r
g
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izer
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iter
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n
co
n
s
is
ts
o
f
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s
et
s
,
n
am
ely
s
atis
f
ac
to
r
y
with
weig
h
t
eq
u
al
to
0
.
5
an
d
v
e
r
y
s
atis
f
y
in
g
s
et
with
w
eig
h
t
eq
u
al
to
0
.
5
.
Fu
r
th
er
m
o
r
e,
in
c
iv
il
se
rv
a
n
t
tr
ain
in
g
class
I
I
I
it
is
o
b
tain
ed
th
at
f
o
r
co
ac
h
,
lectu
r
er
,
p
r
ea
c
h
er
,
m
en
to
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an
d
ex
am
in
e
r
cr
iter
ia
ar
e
v
er
y
s
atis
f
y
in
g
s
ets
with
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h
t
eq
u
al
to
1
.
0
,
wh
ile
f
o
r
th
e
th
e
o
r
g
a
n
izer
cr
iter
io
n
c
o
n
s
is
t
o
f
two
s
e
ts
,
n
am
ely
s
atis
f
ac
to
r
y
with
wei
g
h
t
eq
u
al
to
0
.
2
a
n
d
v
er
y
s
atis
f
y
in
g
with
weig
h
t
eq
u
al
to
0
.
8
.
B
ased
o
n
th
e
r
esu
lts
,
it
ca
n
b
e
co
n
clu
d
ed
th
at
t
h
e
q
u
ality
o
f
th
e
tr
ain
in
g
f
o
r
c
iv
il
se
rv
a
n
t
class
I
I
I
is
m
o
r
e
s
atis
f
y
in
g
th
an
th
e
c
iv
il
se
rv
a
n
t
class
I
I
.
T
h
o
s
e
r
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lt
in
d
icate
d
b
y
t
h
e
wei
g
h
t
v
alu
es
o
n
th
e
o
r
g
an
izer
s
et
as sh
o
wn
in
Fig
u
r
e
s
3
(
a
)
a
n
d
3
(
b
)
.
T
h
e
ter
m
s
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s
ed
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o
ex
p
r
ess
th
e
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et
in
Fig
u
r
e
3
(
a)
a
n
d
Fig
u
r
e
4
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b
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ar
e
T
M
(
No
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f
ac
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r
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M
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ite
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r
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ased
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r
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e
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u
r
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3
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T
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ig
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r
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p
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I
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527
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R
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n
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R
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ased
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n
th
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f
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r
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lts
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e
o
u
tp
u
t
v
al
u
e
f
o
r
c
i
v
il
se
rv
a
n
t
tr
ain
in
g
class
I
I
is
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2
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h
ich
s
tates
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at
th
e
q
u
ality
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f
t
h
e
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ain
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v
er
y
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o
o
d
.
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h
ile,
f
o
r
th
e
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rv
a
n
t
tr
ain
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g
class
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I
I
,
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e
o
u
tp
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t
v
alu
e
is
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2
0
wh
ich
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tates
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at
th
e
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ali
ty
o
f
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e
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ai
n
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er
y
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o
o
d
.
Fig
u
r
e
4
(
a
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an
d
Fig
u
r
e
4
(
b
)
f
ig
u
r
e
o
u
t
th
e
q
u
ality
o
f
t
h
e
tr
ain
in
g
f
o
r
ea
ch
class
.
(
a)
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)
Fig
u
r
e
4
.
T
h
ese
f
ig
u
r
e
s
ar
e;
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a
)
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lass
I
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tr
ain
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t
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d
(
b
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lass
I
I
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ain
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t v
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3
.
2
.
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uzzy
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e
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esting
Fu
r
th
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m
o
r
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g
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r
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t
to
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in
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t
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r
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f
t
h
e
f
u
z
zy
m
eth
o
d
.
T
esti
n
g
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co
n
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cted
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p
ar
in
g
th
e
r
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f
co
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v
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tio
n
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lcu
latio
n
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is
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n
s
with
th
e
r
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o
f
s
y
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tem
d
ec
is
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n
s
.
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h
e
r
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lts
o
f
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ec
is
io
n
s
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ased
o
n
c
o
n
v
e
n
tio
n
al
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lcu
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n
s
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r
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m
a
d
e
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y
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in
d
in
g
th
e
m
ea
n
v
alu
e
o
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ea
ch
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r
iter
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n
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ests
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e
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r
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t u
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ata
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ase
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o
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h
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r
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o
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th
e
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zz
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eth
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s
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r
e
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r
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ted
in
T
ab
le
5
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ab
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5
s
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th
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t
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e
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se
rv
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t
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ain
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9
1
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1
7
(
v
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d
d
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n
)
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d
th
e
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iv
il
se
rv
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n
t
tr
ain
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class
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I
I
tr
ain
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is
9
3
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0
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er
y
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o
o
d
d
ec
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.
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h
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t
h
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t
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e
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r
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r
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ased
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la
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A
c
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ile
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CO
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ased
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ly
:
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d
3
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ased
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[1
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G
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Re
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In
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Av
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tes
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].
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d
f
[3
]
A.
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ro
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m
a
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Ka
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m
s:
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ti
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,
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t.
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.
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ra
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n
.
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v
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k
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,
“
Ev
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lu
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Train
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.
H.S
.
:
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d
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.
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A.
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