TELK
OMNIKA
,
V
ol.
17,
No
.
1,
F
ebr
uar
y
2019,
pp
.
161
169
ISSN:
1693-6930,
accredited
First
Gr
ade
b
y
K
emenr
istekdikti,
Decree
No:
21/E/KPT/2018
DOI:
10.12928/TELK
OMNIKA.v17i1.9237
161
Ontology
design
based
on
data
famil
y
planning
field
officer
using
O
WL
and
RDF
.
Roll
y
Maulana
A
wang
ga
*1
,
Setia
wan
Assegaff
2
,
Sy
afrial
F
ac
hri
P
ane
3
,
and
Muhammad
Firman
Kahfi
4
1,3,4
Applied
Bachelor
Prog
r
am
in
Inf
or
matics
Engineer
ing,
P
oliteknik
P
os
Indone
sia,
Bandung
Indonesia
2
Magister
of
Inf
or
mation
System,
STIK
OM
Dinamika
Bangsa,
J
ambi,
Indonesia
*
Corresponding
author
,
e-mail:
a
w
angga@poltekpos
.ac.id
Abstract
P
opulation
density
in
Indonesia
is
r
ank
ed
f
our
t
h
in
the
w
or
ld.
The
impact
of
a
large
pop
ulation
will
af-
f
ect
the
le
v
el
of
w
elf
are
of
the
comm
unity
to
decrease
,
and
the
n
umber
of
unemplo
yment
is
increasing
so
that
the
state
mak
es
F
amily
Planning
Prog
r
am
(PLKB)
to
control
the
r
ate
of
population
g
ro
wth.
Prob
lems
in
the
PLKB
prog
r
am
are
on
kno
wledge
management
and
mapping
from
data
contr
aception,
counseling
and
plan-
ning
so
that
this
research
using
Ontology
method
will
aim
to
do
mapping
with
kno
wledge
management
and
Ontology
design
sho
ws
represented
data
to
relate
and
descr
ibes
the
resources
contained
in
f
amily
planning
data.
This
research
approach
the
representation
of
ontology
that
is
v
alidated
through
model
tr
ansf
or
mation
from
f
amily
planning
data
to
ontology
design
using
O
WL
and
RDF
which
are
useful
f
or
data
processing
and
representing
data
to
be
utiliz
ed
b
y
field
officers
in
educating
the
pub
lic
and
er
adicating
negativ
e
issu
es
about
f
amily
planning
prog
r
ams
.
K
e
yw
or
d:
F
amily
Planning,
Ontology
,
Resources
Descr
iption
F
r
ame
w
or
k,
Field
Officer
,
W
e
b
Ontology
Language
,
Representation.
Cop
yright
c
2019
Univer
sitas
Ahmad
Dahlan.
All
rights
reser
ved.
1.
Intr
oduction
Based
on
statistics
of
population
data
from
the
CIA
W
or
ld
F
actbook
[1],
Indonesia
is
r
ank
ed
f
our
th
in
the
w
or
ld
and
high
population
in
indonesia
g
ro
wth
resulted
in
v
ar
ious
prob
lems
.
Requires
a
handling
so
that
population
g
ro
wth
can
control,
one
of
the
eff
or
ts
handled
b
y
using
f
amily
planning
prog
r
am.
With
significant
population
g
ro
wth,
data
managed
b
y
f
amily
planning
prog
r
ams
or
BKKBN
will
contin
ue
to
g
ro
w
and
ha
v
e
insight
and
inf
or
mation
that
can
utiliz
e
b
y
f
am-
ily
planning
field
officer
and
the
comm
unity
.
BKKBN,
is
a
non-minister
ial
go
v
er
nment
agency
in
Indonesia
that
is
responsib
le
f
or
carr
ying
out
go
v
er
nment
duties
in
the
field
of
f
amily
planning
and
prosperous
f
amilies
.
F
amily
planning
data
that
ha
v
e
kno
wledge
and
inf
or
mation
are
div
erse
,
with
a
significant
amount
of
data
will
mak
e
the
field
officer
difficulty
in
doing
the
process
of
classifica-
tion.
Data
processing
and
descr
ibe
each
data
because
it
is
done
man
ually
,
not
integ
r
ated
with
the
system
and
the
comm
unity
becomes
less
understood
about
inf
or
mation
and
kno
wledge
of
f
amily
planning
prog
r
ams
.
After
the
process
of
analyzing
data
in
f
amily
planning
that
has
kno
wledge
and
inf
or
mation
to
be
utiliz
ed
b
y
a
f
amily
planning
field
officer
,
there
are
three
that
is
counsel-
ing,
contr
acep
tion,
and
planning
[2].
Counseling,
contr
aceptiv
e
and
planning
data
obtained
from
f
amily
planning
prog
r
ams
ha
v
e
not
g
rouped
and
classified,
so
that
field
w
or
k
ers
ha
v
e
difficulties
when
the
y
w
ant
to
pro
vide
inf
or
mation
and
pub
lic
ser
vices
[3].
The
ontology
design
can
be
rep-
resented
and
m
utually
related
and
descr
ibe
s
the
resources
contained
in
the
f
amily
planning
data
to
be
constr
ucted
with
O
WL
(w
eb
ontology
language)
and
RDF
(resource
descr
iption
fr
ame
w
or
k)
methods
[4].
The
ontology
design
of
a
f
amily
planning
field
officer
has
the
goal
of
de
v
eloping
a
f
amily
planning
ontology
model
that
integ
r
ates
v
ar
ious
types
of
f
amily
planning
entities
with
data
obtained
on
counseling,
contr
a
c
e
ption,
and
planning.
Also
,
the
data
obtained
can
be
done
in-
teg
r
ation
and
classification
with
w
eb
ontology
language
and
resource
descr
iption
with
resource
descr
iption
fr
ame
w
or
k
[5].
Receiv
ed
March
12,
2018;
Re
vised
October
15,
2018;
Accepted
No
v
ember
17,
2018
Evaluation Warning : The document was created with Spire.PDF for Python.
162
ISSN:
1693-6930
(O
WL)
W
eb
Ontology
Language
is
a
standard
ontology
language
which
represents
data
classes
,
proper
ties
,
and
individuals
in
Semantic
W
eb
.
Ontology
T
echnology
allo
ws
Data
Schemes
in
F
amily
Planning
that
can
be
descr
ibed
with
a
domain
of
kno
wledge
and
accessed
b
y
people
or
computers
that
share
a
standard
vie
w
or
domain
application
[6].
The
W3C
has
recommended
O
WL
as
the
language
of
choice
f
or
kno
wledge
representation
in
the
so-called
Semantic
W
eb
.
In
O
WL,
objects
of
the
domain
represented
as
interrelated
resources
and
identified
b
y
Unif
or
m
Re-
sources
Identifiers
(URI),
while
attr
ib
u
te
v
alues
are
descr
ibed
b
y
liter
als
.
T
echnically
an
ontology
has
represented
some
components
betw
een
Classes
,
or
concepts
,
things
common
to
a
domain
of
interest
,
Examples
,
or
individuals
,
cer
tain
things
,
Proper
ty
and
v
alue
of
it,
Constr
aints
and
r
ules
f
or
that
matter
and
Functions
and
processes
related
to
it.
With
the
popular
ity
of
ontology
[7].
O
WL
representativ
e
language
,
people
consider
the
use
of
ontologies
to
descr
ib
e
the
use
and
r
ules
in
f
amily
planning,
such
as
the
use
of
O
WL
to
f
or
maliz
e
the
policy
[8].
2.
Related
W
orks
Design
Ontology
PLKB
has
a
pur
pose
of
de
v
eloping
an
Ontology
model
of
f
amily
plan-
ning
that
int
eg
r
ates
the
v
ar
ious
types
f
amily
planning
entity
with
data
obtained
that
is
Counseling,
Contr
aception,
and
Planning
based
on
e
xisting
data
on
F
amily
Planning
Field
Officer
[9].
Also
,
the
data
obtained
can
be
done
integ
r
ation
and
classification
with
W
eb
Ontology
[10].
O
WL
is
the
standard
ontology
language
f
or
Semantic
W
eb
.
Char
acter
istics
that
diff
erentiate
RDF
and
ontology
compare
d
to
relat
ional
databases
are
their
deg
ree
of
linkage
diff
erent,
Ontology
and
RDF
capabilit
y
in
modeling
related
relationships
[11].
With
Ontology
de
v
elopment
methodology
and
conceptual
model
[12],
the
process
of
de
v
eloping
and
mapping
data
of
f
amily
planning
data
can
be
represented
b
y
the
inf
or
mation
ontology
design
[13],
and
PLKB
implement
RDF
that
pro-
vides
a
means
f
or
v
ocab
ular
ies
both
machine-processab
le
v
ocab
ular
ies
designed
to
encour
age
human
capabilities
[14].The
str
uctur
al
constr
uct
of
RDF
is
a
tr
iple
subject,
proper
ty
,
and
object,
which
can
represent
in
g
r
aph
[15].
Data
PLKB
on
the
dependent
on
h
uman
control
and
still
in
a
human-readab
le
f
or
mat
only
[16].
PLKB
data
should
be
in
a
machine-readab
le
f
or
mat
so
that
the
semantic
w
eb
agent
can
understand
the
data
[17].
Large
amounts
of
data
on
the
PLKB
are
stored
in
relation
al
databases
(RDBs)
and
should
be
represented
in
Resource
Descr
iption
F
r
ame
w
or
k
(RDF)
f
or
mat
so
that
the
y
can
be
understood
b
y
the
agent
[18].
In
this
research,
the
data
processed
and
represented
in
the
ontology
der
iv
ed
from
data
on
population
and
national
f
amily
planning.
Ontology
b
uilds
f
acilities
in
man
y
cases
designed
f
or
use
b
y
f
amily
planning
officer
s
with
appropr
iate
kno
wledge
and
representatio
n
techniques
so
that
in
creating
an
ontology
architecture
[19].
The
process
of
creating
classes
,
object
proper
ties
and
data
proper
ty
can
do
g
r
adually
,
and
each
data
is
related
to
the
other
data
[20].
An
Ontology
is
required
to
mak
e
target
areas
with
difficulties
in
perf
or
ming
a
specific
task
[21].
These
Ontologies
can
then
be
additionally
coordinated
to
deal
with
the
gen
uinely
necessar
y
prerequisites
of
settling
the
issues
emerging
in
f
amily
planning
[22].The
process
of
representation
of
ontology
kno
wledge
using
w
eb
ontology
language
and
resource
descr
iption
fr
ame
w
or
k
to
repr
esent
data
of
e
xisting
data
in
f
amily
planning
[23].
3.
Resear
c
h
Method
In
this
research,
Data
F
amily
Planning
Field
Officer
implement
W
eb
Ontology
Language
and
Resource
Descr
iption
F
r
ame
w
or
k
f
or
representing
ontologies
,
(O
WL)
W
eb
Ontology
Lan-
guage
is
an
ontology
language
f
or
the
w
eb
that
is
an
e
xtension
of
RDF
Schema
[24].
W
e
analyz
e
the
identified
shor
tcomings
of
an
O
WL,
such
as
prob
lems
with
its
syntax
es
,
and
deficiencies
in
the
definition
of
O
WL
species
.
In
the
case
study
of
F
amily
Planning
Field
Officers
,
there
are
v
ar
i-
ous
sources
of
data
obtained
from
the
(BKKBN)
National
P
opulation
and
F
amily
Planning
Agency
,
Data
descr
ibed
include
Planning,
Contr
aception,
Counseling,
and
Ser
vices
[25].
Data
mostly
collected
b
y
diff
erent
actors
through
v
ar
ious
heterogeneous
and
distr
ib
uted
inf
or
mation
sources
,
and
stored
and
often
managed
directly
in
XML
[26].
T
o
enab
le
the
large
v
olume
of
data
to
be
descr
ibed
in
such
a
w
a
y
that
their
meaning
can
e
xploit
b
y
machines
and
quer
ies
can
be
activ
ated,
TELK
OMNIKA
V
ol.
17,
No
.
1,
F
ebr
uar
y
2019
:
161
169
Evaluation Warning : The document was created with Spire.PDF for Python.
TELK
OMNIKA
ISSN:
1693-6930
163
this
paper
presents
an
automated
method
to
der
iv
e
O
WL
ontologies
from
XML
schemas
.
Con-
tr
ib
ution
of
this
Ontology
relies
on
the
possibility
of
producing
an
ontology
star
ting
from
m
ultiple
XML
schemas
,
b
y
discr
iminating
betw
een
domain
and
cross-domain
entities
and,
conte
xtually
,
simplifying
the
o
v
er
all
str
ucture
of
the
final
ontology
gener
ated.
F
amily
planning
field
officer
data
is
obtained
from
national
population
and
f
amily
planning
bodies
,
i.e
.
counseling,
contr
aception
and
planning
data.
Based
on
tab
le
1
e
xplained
the
data
of
f
amily
planning
field
officers
there
are
three
diff
erent
classes
,
seen
that
the
subclass
of
the
thing
consists
of
counselling,
contr
aception
and
planning.
O
WL
defines
the
root
of
all
that
e
xists
with
o
wl:
Thing.
So
all
the
classes
created
implicitly
are
subclasses
o
wl:
Thing.
Creation
of
class
using
o
wl:
class
and
declare
subclass
with
rdfs:
subclass
.
The
class
is
the
centr
al
point
of
ontology
.
The
class
descr
ibes
a
concept
in
a
domain
consisting
of
m
ultiple
instances
or
individual.
The
class
is
also
kno
wn
as
the
concept,
object
and
categor
ies
.
A
class
has
subclasses
that
state
a
more
specific
concept
of
superclass
.
(O
WL)
W
eb
Ontology
Language
,
as
a
Semantic
W
eb
standard,
can
f
or
mally
represent
domain
kno
wledge
,
organiz
es
concepts
or
entities
within
classification
hier
archies
that
pro
vide
[27].
Do-
main
ontology
chose
as
representation
model
of
kno
wledge
about
ph
ysical
eff
ects
.
Ontology
is
the
most
widespread
f
or
m
of
the
kno
wledge
descr
iption
of
an
y
subject
domain,
easy
integ
r
ation
with
inf
or
mation
systems
[28].
Currently
,
there
are
tools
f
or
creating
and
suppor
ting
ontology
cre-
ation.
These
tools
are
to
standard
vie
wing
and
editing
functions
also
perf
o
r
m
impor
t
and
e
xpor
t
of
v
ar
ious
f
or
mats
and
languages
,
documenting
ont
ologies
,
suppor
t
visualization
and
g
r
aphical
editing.
Resource
Descr
iption
F
r
ame
w
or
k
or
RDF
is
a
standard
used
to
descr
ibe
resources
.
T
ab
le
1.
Class
and
Subclass
of
F
amily
Planning
Field
Officer
.
Class
Subclass
of
Counseling
Thing
Contr
aception
Thing
Planning
Thing
4.
Experiment
and
Result
Data
F
amily
Planning
Field
Officer
implement
W
eb
Ontology
Language
or
O
WL,
and
Re-
source
Descr
iption
F
r
ame
w
or
k
f
or
represent
ing
ontologies
,
W
eb
Ontology
Language
is
an
ontol-
ogy
language
f
or
the
w
eb
that
is
an
e
xtension
of
RDF
Schema.
W
e
analyz
e
the
identified
shor
t-
comings
of
an
O
WL,
such
as
prob
lems
with
its
syntax
es
,
and
deficiencies
in
the
definition
of
O
WL
species
.
In
the
case
study
of
F
amily
Planning
Field
Officers
,
there
are
v
ar
ious
sources
of
data
obtained
from
the
National
P
opulation
and
F
amily
Planning
Agency
(BKKBN),T
o
pro
vide
a
shared
understanding
of
the
tab
le
fields
in
a
diff
erent
database
,
samples
of
f
amily
planning
ontologies
based
on
national
population
and
f
amily
planning
standards
de
v
eloped
throu
gh
the
W
eb
Ontology
Language
method
and
Resource
Descr
iption
F
r
ame
w
or
k.
Data
f
or
Ser
vices
b
y
F
amily
Planning
Field
Officers
currently
amounts
to
35
classes
and
236
proper
ty
.
F
or
counseling
data,
the
n
umber
of
types
there
are
fiv
e
par
ts
,
and
the
total
capital
has
tak
en
from
each
categor
y
amounted
to
36.
F
or
planning
data,
the
n
umber
of
classes
is
fiv
e
sections
,
and
the
o
v
er
all
proper
ty
chosen
from
each
class
is
5.
F
or
quiz
data,
the
n
umber
of
classes
is
fiv
e
par
ts
and
the
total
proper
ty
tak
en
from
each
class
is
100,
and
F
or
contr
aceptiv
e
data,
the
n
umber
of
classes
is
ten
sections
and
the
total
proper
ty
tak
en
from
each
class
is
95.The
data
source
comes
from
the
official
source
of
P
opulation
and
F
amily
Planning
Agency
which
has
man
y
classifications
such
as
Contr
aception,
Counseling,
Quiz,
Planning
in
F
amily
Planning
then
Results
from
processing,
classifying
a
nd
g
rouping
data
visualiz
ed
using
tools
Protege
and
Eclipse
K
OMMA
to
conduct
Resource
Descr
iption
F
r
ame
w
or
k.
Protege-O
WL
can
add
and
edit
these
ter
ms
and
annotations
.
W
e
define
three
classes
in
the
F
amily
Planning
Field
Office:
Counseling,
Q
uiz,
Contr
aceptiv
e
,
and
Planning.
F
or
more
efficient
ontology
de
v
elopment
can
be
done
through
tools
to
automate
the
process
of
adding
ontology
Ontology
design
based
on
data
f
amily
planning
field
officer
using...
(Rolly
Maulana
A
w
angga)
Evaluation Warning : The document was created with Spire.PDF for Python.
164
ISSN:
1693-6930
content
b
y
repeating
design
patter
n
[29].
A
Counselling
is
a
ser
vice
off
ered
to
the
individual
who
is
undergoing
a
prob
lem
and
needs
prof
essional
help
to
o
v
ercome
it.
Counseling
in
the
process
of
ser
vice
b
y
the
F
amily
Planning
Field
Officers
there
are
fiv
e
Classes
and
36
Proper
ty
.
Coun-
seling
divided
into
three
area:
P
ostpar
tum
Counseling,
Miscarr
iage
Counseling,
and
Counseling
Balanced
Str
ategy
.
In
the
design
of
Ontology
which
will
do
,
there
are
data
of
F
amily
Planning
Officer
from
BKKBN
and
divided
into
three
e
xisting
data
of
Contr
aception
T
ool,
Counseling
Data
and
Planning
Data.
Based
on
the
data
of
F
amily
Planning
Field
Officer
.
There
are
three
diff
erent
classes
from
F
amily
Planning
Field
Officer
.
Inside
SubclassOf
consists
of
Counseling,
Contr
acep-
tion,
and
Planning.
The
data
of
F
amily
Planning
Field
Officer
there
are
three
diff
erent
classes
,
it
seen
that
Thing
in
SubclassOf
consists
of
Counseling,
Contr
aception,
and
Planning.O
WL
defines
the
root
of
all
that
e
xists
with
o
wl:
Thing.
All
the
classes
created
implicitly
are
subclasses
o
wl:
Thing.
Creation
of
class
using
o
wl:
Class
and
declare
subclass
with
RDF
subClas-
sOf
.
A
class
is
the
centr
al
point
of
ontology
.
A
class
descr
ibes
a
concept
in
a
domain
consisting
of
m
ultiple
instances
or
individual.
The
class
is
also
kno
wn
as
the
concept,
object,
and
categor
ies
.
A
class
has
subclasses
that
state
a
more
specific
concept
of
the
superclass
.
Figure
1.
V
O
WL
F
amily
Planning
Field
Officer
TELK
OMNIKA
V
ol.
17,
No
.
1,
F
ebr
uar
y
2019
:
161
169
Evaluation Warning : The document was created with Spire.PDF for Python.
TELK
OMNIKA
ISSN:
1693-6930
165
Based
on
figure
1
e
xplain
the
data
of
F
amily
Planning
Field
Officer
t
here
are
three
diff
erent
classes
,
it
seen
that
Thing
in
SubclassOf
consists
of
Counseling,
Contr
aception,
and
Planning.
O
WL
defines
the
root
of
all
that
e
xists
with
o
wl:
Thing.
A
class
is
the
centr
al
point
of
ontology
and
class
descr
ibes
a
concept
in
a
domain
consisting
of
m
ultiple
instances
or
individ
ual.
The
class
is
also
kno
wn
as
the
concept,
object,
and
categor
ies
.
Data
Proper
ties
F
amily
Planning
field
officer
ha
v
e
slots
.
The
proper
ty
or
slot
consists
of
tw
o
types
,
namely
the
nature
of
the
object
and
the
nature
of
the
datatype
.
The
proper
tie
s
of
the
object
will
connect
the
instance
with
the
instance
datatype
proper
ty
will
connect
the
e
xample
with
the
datatype
v
alue
.
As
f
or
the
resulting
class
sho
wn
in
Figure
2.
Figure
2.
Class
Ontology
F
amily
Planning
Field
Officer
Based
on
figure
2,
The
design
of
Ontology
abo
v
e
gener
ated
three
types
of
classes
are
Consid-
ered
Str
ategy
Counseling
has
the
domain
of
K
onseling
and
Range
of
Individual
Group
Str
ategies
,
K
ontr
asepsi
,
and
P
erencanaan
.
Object
proper
ty
of
f
amily
planning
ser
vice
officer
with
K
onsel-
ing
domain
that
is
counseling
data
of
balanced
str
ategy
ha
v
e
data
proper
ty
of
Str
ategi
K
elompok
and
Str
ategi
Individu
,
K
onseling
P
aska
K
egugur
an
ha
v
e
post-miscellaneous
proper
ty
proper
ties
,
K
onseling
P
aska
P
ersalinan
has
post-natal
proper
ty
proper
ties
.
Then
f
or
object
proper
ty
with
K
on-
tr
asepsi
domain
and
contr
aceptiv
e
recomm
endation
data
proper
ties
of
Implan
KB
,
IUD
,
K
ondom,
MAL,
Pil
K
ombinasi,
Pil
Progestin,
Suntik
K
ombinasi,
Suntik
Progestin,
T
ubektomi
,
V
asektomi
.
F
or
data
object
proper
ty
with
domain
P
erencanaan
and
data
proper
ties
stages
are
data
being
P
asangan
Bar
u
Menikah,
P
asangan
Bar
u
Memiliki
Anak,
Masa
De
w
asa
Muda,
P
asangan
K
elu-
arga
De
w
asa
and
Sedang
Mengandung
.
Proper
ty
data
with
the
domains
of
K
ontr
asepsi
and
the
r
ange
str
ing
is
ho
w
to
w
or
k,
ho
w
to
use
,
adv
antages
,
limitations
,
notion
s
,
can’t
use
,
places
of
ser
vice
,
r
umors
and
f
acts
,
and
video
.
Then
the
proper
ty
data
plan
has
a
r
ange/v
alue
str
ing
and
has
a
domain
that
is
the
domain
of
y
oung
adulthood
ne
w
couples
ha
v
e
children,
ne
wly
marr
ied
couples
domain,
the
domain
of
adult
f
amily
pairs
and
domain
being
pregnant.
Then
contr
aceptiv
e
recommendation
data
proper
ties
ha
v
e
a
r
ange/v
alue
str
ing
with
ne
wly
marr
ied
couples
domains
ne
w
par
tner
domains
ha
v
e
children
and
domains
are
containing.
Ontog
r
af
e
xplained
the
data
of
f
amily
planning
field
officers
there
are
three
diff
erent
classes
,
seen
that
the
subclass
of
a
thing
consists
of
K
onseling,
K
ontr
asepsi
and
P
erencanaan.
O
WL
defines
the
root
of
all
that
e
xists
with
o
wl:
Thing.
So
all
the
classes
created
implicitly
are
subclasses
o
wl:
Thing.
Creati
on
of
class
using
o
wl:
class
and
declare
subclass
with
rdfs:
subclass
.
A
class
is
the
centr
al
point
of
ontol-
ogy
.
The
class
descr
ibes
a
concept
in
a
domain
consisting
of
m
ultiple
instances
or
individual.
Based
on
figure
3
data
visualization
with
V
O
WL
more
data
is
descr
ibed.
There
is
a
f
amily
plan-
ning
field
class
and
has
three
subclasses
of
K
onseling,
K
ontr
asepsi
and
P
erencanaan
.
In
the
sub-class
of
K
onseling
,
there
are
three
sub-proper
ties:
K
onseling
P
aska
P
ersalinan,
K
onseling
P
aska
K
egugur
an
and
P
erencanaan
.
F
or
K
ontr
asepsi
subclasses
,
there
are
ten
sub-proper
ties
:
Implan
KB
,
IUD
,
K
ondom,
MAL,
Pil
K
ombinasi,
Pil
Progestin,
Suntik
K
ombinasi,
Suntik
Progestin,
T
ubektomi
,
V
asekt
omi
.
F
or
P
erencanaan
subclasses
there
are
sub-proper
ties
,
P
asangan
Bar
u
Menikah,
P
asangan
Bar
u
Memiliki
Anak,
Masa
De
w
asa
Muda,
P
asangan
K
eluarga
De
w
asa
and
Sedang
Mengandung
.
Proper
ty
data
are
related
to
each
other
and
ha
v
e
relationships
to
class
and
object
proper
ties
.
Ontology
design
based
on
data
f
amily
planning
field
officer
using...
(Rolly
Maulana
A
w
angga)
Evaluation Warning : The document was created with Spire.PDF for Python.
166
ISSN:
1693-6930
Figure
3.
V
O
WL
F
amily
Planning
Field
Officer
In
Figure
4
there
is
a
K
ontr
asepsi
class
and
ten
subclasses
of
Implan
KB
,
IUD
,
K
ondom,
MAL,
Pil
K
ombinasi,
Pil
Progestin,
Suntik
K
omb
inasi,
Suntik
Progestin,
T
ubektomi
,
V
asektomi
In
each
object
proper
ty
,
there
is
ho
w
to
w
or
k,
ho
w
to
use
,
can
be
used
if
,
video
e
xplanations
,
adv
antages
,
notions
,
r
umours
and
f
acts
and
place
of
ser
vice
.
Then
there
is
the
data
proper
ty
that
represents
the
e
xisting
data
components
of
the
object
proper
ty
.
Proper
ty
data
are
related
to
each
other
and
ha
v
e
relationships
to
class
and
object
proper
ties
.
Figure
4.
V
O
WL
contr
aceptiv
e
TELK
OMNIKA
V
ol.
17,
No
.
1,
F
ebr
uar
y
2019
:
161
169
Evaluation Warning : The document was created with Spire.PDF for Python.
TELK
OMNIKA
ISSN:
1693-6930
167
In
eclipse
k
omma
there
are
sections
such
as
classes
.
F
or
the
class
in
the
f
amily
planning
field
officer
ha
ving
three
child
classes
.
The
classes
namely
K
onseling,
K
ontr
asepsi
and
P
eren-
canaan
.
sho
wn
in
Figure
5.
Figure
5.
RDF
Class
F
amily
Planning
Field
Officer
In
each
class
,
there
are
object
proper
ties
and
data
proper
ties
.
F
or
object
proper
ties
,
there
are
data
proper
ties
in
each
class
.
The
use
of
RDF
Schema
is
mainly
to
descr
ibe
the
relationships
that
occur
betw
een
classes
,
proper
ties
,
v
alues
,
and
instances
in
a
semantic
model.
5.
Conc
lusion
In
this
paper
,
f
amily
planning
field
data
based
Standard
metadata
initially
b
uilt.
Then,
with
suppor
t
from
BKKBN,
data
integ
r
ation,
scheme
reorganization,
and
data
quer
ying
are
perf
or
med.
O
WL
is
the
most
e
xpressiv
e
ontology
language
used
f
or
semantic
w
eb
applications
Since
the
se-
mantic
w
eb
pro
vides
inf
or
mation
that
can
automatically
and
integ
r
ates
inf
or
mation
on
the
W
ebsite
and
RDF
functions
in
inf
or
mation
flo
w
,
and
as
the
data
model
used
to
descr
ibe
the
inf
or
mation.
The
Ontology
tab
les
represented
and
visualiz
ed
with
V
O
WL
are
listed
in
tab
le
2.
T
ab
le
2.
Class
and
Subclass
of
F
amily
Planning
Field
Officer
.
Class
Subclass
of
Counseling
Thing
Contr
aception
Thing
Planning
Thing
The
essence
of
the
w
or
k
is
to
achie
v
e
interoper
ability
of
f
amily
planning
field
officer
.This
method
can
restore
the
semant
ic
of
XML
schema
and
data
inf
or
mation
efficie
ntly
.
Ontology
design
no
need
statistical
method.
The
main
contr
ib
ution
of
this
paper
is
constr
ucting
the
ontology
automat-
ically
from
XML
schema.
The
e
xper
imental
results
sho
w
that
our
method
of
creating
data
Inter-
oper
ability
is
comf
or
tab
le
and
con
v
enient
f
or
users
.
Our
research
can
motiv
ate
future
research
to
impro
v
e
ontology
within
the
scope
of
f
amily
planning
and
pro
vide
inf
or
mation
to
comm
unities
in
Indonesia
to
implement
f
amily
planning
prog
r
ams
that
assist
de
v
elopment
P
opulation
and
Repro-
ductiv
e
Health
and
adding
some
t
echnologies
such
as
natur
al
language
processing
and
ar
tificial
intelligence
.
Ref
erences
[1]
Y
.
Ding
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Engels
,
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and
ai:
using
co-occurrence
theor
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Ontology
design
based
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data
f
amily
planning
field
officer
using...
(Rolly
Maulana
A
w
angga)
Evaluation Warning : The document was created with Spire.PDF for Python.
168
ISSN:
1693-6930
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achr
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ulathunga
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a,
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f
or
copula
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in
bahasa
indonesia
based
on
w
eb
ontology
language
(o
wl),
”
in
Inter
national
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”
in
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national
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.
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2016,
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