Ontology design based on data family planning field officer using OWL and RDF

TELKOMNIKA, Vol. 17, No. 1, February 2019, pp. 161 − 169
ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018
DOI: 10.12928/TELKOMNIKA.v17i1.9237 161
Ontology design based on data family planning
field officer using OWL and RDF.
Rolly Maulana Awangga*1
, Setiawan Assegaff2
, Syafrial Fachri Pane3
, and Muhammad
Firman Kahfi4
1,3,4
Applied Bachelor Program in Informatics Engineering, Politeknik Pos Indonesia, Bandung Indonesia
2
Magister of Information System, STIKOM Dinamika Bangsa, Jambi, Indonesia
*
Corresponding author, e-mail: awangga@poltekpos.ac.id
Abstract
Population density in Indonesia is ranked fourth in the world. The impact of a large population will af-
fect the level of welfare of the community to decrease, and the number of unemployment is increasing so that
the state makes Family Planning Program (PLKB) to control the rate of population growth. Problems in the
PLKB program are on knowledge management and mapping from data contraception, counseling and plan-
ning so that this research using Ontology method will aim to do mapping with knowledge management and
Ontology design shows represented data to relate and describes the resources contained in family planning
data. This research approach the representation of ontology that is validated through model transformation
from family planning data to ontology design using OWL and RDF which are useful for data processing and
representing data to be utilized by field officers in educating the public and eradicating negative issues about
family planning programs.
Keyword: Family Planning, Ontology, Resources Description Framework, Field Officer, Web Ontology
Language, Representation.
Copyright c 2019 Universitas Ahmad Dahlan. All rights reserved.
1. Introduction
Based on statistics of population data from the CIA World Factbook [1], Indonesia is
ranked fourth in the world and high population in indonesia growth resulted in various problems.
Requires a handling so that population growth can control, one of the efforts handled by using
family planning program. With significant population growth, data managed by family planning
programs or BKKBN will continue to grow and have insight and information that can utilize by fam-
ily planning field officer and the community. BKKBN, is a non-ministerial government agency in
Indonesia that is responsible for carrying out government duties in the field of family planning and
prosperous families. Family planning data that have knowledge and information are diverse, with
a significant amount of data will make the field officer difficulty in doing the process of classifica-
tion. Data processing and describe each data because it is done manually, not integrated with the
system and the community becomes less understood about information and knowledge of family
planning programs. After the process of analyzing data in family planning that has knowledge
and information to be utilized by a family planning field officer, there are three that is counsel-
ing, contraception, and planning [2]. Counseling, contraceptive and planning data obtained from
family planning programs have not grouped and classified, so that field workers have difficulties
when they want to provide information and public services [3]. The ontology design can be rep-
resented and mutually related and describes the resources contained in the family planning data
to be constructed with OWL (web ontology language) and RDF (resource description framework)
methods [4]. The ontology design of a family planning field officer has the goal of developing a
family planning ontology model that integrates various types of family planning entities with data
obtained on counseling, contraception, and planning. Also, the data obtained can be done in-
tegration and classification with web ontology language and resource description with resource
description framework [5].
Received March 12, 2018; Revised October 15, 2018; Accepted November 17, 2018

162 ISSN: 1693-6930
(OWL) Web Ontology Language is a standard ontology language which represents data
classes, properties, and individuals in Semantic Web. Ontology Technology allows Data Schemes
in Family Planning that can be described with a domain of knowledge and accessed by people
or computers that share a standard view or domain application [6]. The W3C has recommended
OWL as the language of choice for knowledge representation in the so-called Semantic Web. In
OWL, objects of the domain represented as interrelated resources and identified by Uniform Re-
sources Identifiers (URI), while attribute values are described by literals. Technically an ontology
has represented some components between Classes, or concepts, things common to a domain
of interest, Examples, or individuals, certain things, Property and value of it, Constraints and rules
for that matter and Functions and processes related to it. With the popularity of ontology [7]. OWL
representative language, people consider the use of ontologies to describe the use and rules in
family planning, such as the use of OWL to formalize the policy [8].
2. Related Works
Design Ontology PLKB has a purpose of developing an Ontology model of family plan-
ning that integrates the various types family planning entity with data obtained that is Counseling,
Contraception, and Planning based on existing data on Family Planning Field Officer [9]. Also,
the data obtained can be done integration and classification with Web Ontology [10]. OWL is
the standard ontology language for Semantic Web. Characteristics that differentiate RDF and
ontology compared to relational databases are their degree of linkage different, Ontology and
RDF capability in modeling related relationships [11]. With Ontology development methodology
and conceptual model [12], the process of developing and mapping data of family planning data
can be represented by the information ontology design [13], and PLKB implement RDF that pro-
vides a means for vocabularies both machine-processable vocabularies designed to encourage
human capabilities [14].The structural construct of RDF is a triple subject, property, and object,
which can represent in graph [15]. Data PLKB on the dependent on human control and still in a
human-readable format only [16]. PLKB data should be in a machine-readable format so that the
semantic web agent can understand the data [17]. Large amounts of data on the PLKB are stored
in relational databases (RDBs) and should be represented in Resource Description Framework
(RDF) format so that they can be understood by the agent [18].
In this research, the data processed and represented in the ontology derived from data
on population and national family planning. Ontology builds facilities in many cases designed for
use by family planning officers with appropriate knowledge and representation techniques so that
in creating an ontology architecture [19]. The process of creating classes, object properties and
data property can do gradually, and each data is related to the other data [20]. An Ontology is
required to make target areas with difficulties in performing a specific task [21]. These Ontologies
can then be additionally coordinated to deal with the genuinely necessary prerequisites of settling
the issues emerging in family planning [22].The process of representation of ontology knowledge
using web ontology language and resource description framework to represent data of existing
data in family planning [23].
3. Research Method
In this research, Data Family Planning Field Officer implement Web Ontology Language
and Resource Description Framework for representing ontologies, (OWL) Web Ontology Lan-
guage is an ontology language for the web that is an extension of RDF Schema [24]. We analyze
the identified shortcomings of an OWL, such as problems with its syntaxes, and deficiencies in
the definition of OWL species. In the case study of Family Planning Field Officers, there are vari-
ous sources of data obtained from the (BKKBN) National Population and Family Planning Agency,
Data described include Planning, Contraception, Counseling, and Services [25]. Data mostly
collected by different actors through various heterogeneous and distributed information sources,
and stored and often managed directly in XML [26]. To enable the large volume of data to be
described in such a way that their meaning can exploit by machines and queries can be activated,
TELKOMNIKA Vol. 17, No. 1, February 2019 : 161 − 169

TELKOMNIKA ISSN: 1693-6930 163
this paper presents an automated method to derive OWL ontologies from XML schemas. Con-
tribution of this Ontology relies on the possibility of producing an ontology starting from multiple
XML schemas, by discriminating between domain and cross-domain entities and, contextually,
simplifying the overall structure of the final ontology generated. Family planning field officer data
is obtained from national population and family planning bodies, i.e. counseling, contraception
and planning data. Based on table 1 explained the data of family planning field officers there are
three different classes, seen that the subclass of the thing consists of counselling, contraception
and planning. OWL defines the root of all that exists with owl: Thing. So all the classes created
implicitly are subclasses owl: Thing. Creation of class using owl: class and declare subclass with
rdfs: subclass. The class is the central point of ontology. The class describes a concept in a
domain consisting of multiple instances or individual. The class is also known as the concept,
object and categories. A class has subclasses that state a more specific concept of superclass.
(OWL) Web Ontology Language , as a Semantic Web standard, can formally represent domain
knowledge, organizes concepts or entities within classification hierarchies that provide [27]. Do-
main ontology chose as representation model of knowledge about physical effects. Ontology is
the most widespread form of the knowledge description of any subject domain, easy integration
with information systems [28]. Currently, there are tools for creating and supporting ontology cre-
ation. These tools are to standard viewing and editing functions also perform import and export
of various formats and languages, documenting ontologies, support visualization and graphical
editing. Resource Description Framework or RDF is a standard used to describe resources.
Table 1. Class and Subclass of Family Planning Field Officer.
Class Subclass of
Counseling Thing
Contraception Thing
Planning Thing
4. Experiment and Result
Data Family Planning Field Officer implement Web Ontology Language or OWL, and Re-
source Description Framework for representing ontologies, Web Ontology Language is an ontol-
ogy language for the web that is an extension of RDF Schema. We analyze the identified short-
comings of an OWL, such as problems with its syntaxes, and deficiencies in the definition of OWL
species. In the case study of Family Planning Field Officers, there are various sources of data
obtained from the National Population and Family Planning Agency (BKKBN),To provide a shared
understanding of the table fields in a different database, samples of family planning ontologies
based on national population and family planning standards developed through the Web Ontology
Language method and Resource Description Framework. Data for Services by Family Planning
Field Officers currently amounts to 35 classes and 236 property. For counseling data, the number
of types there are five parts, and the total capital has taken from each category amounted to 36.
For planning data, the number of classes is five sections, and the overall property chosen from
each class is 5. For quiz data, the number of classes is five parts and the total property taken from
each class is 100, and For contraceptive data, the number of classes is ten sections and the total
property taken from each class is 95.The data source comes from the official source of Population
and Family Planning Agency which has many classifications such as Contraception, Counseling,
Quiz, Planning in Family Planning then Results from processing, classifying and grouping data
visualized using tools Protege and Eclipse KOMMA to conduct Resource Description Framework.
Protege-OWL can add and edit these terms and annotations. We define three classes in the
Family Planning Field Office: Counseling, Quiz, Contraceptive, and Planning. For more efficient
ontology development can be done through tools to automate the process of adding ontology
Ontology design based on data family planning field officer using... (Rolly Maulana Awangga)

164 ISSN: 1693-6930
content by repeating design pattern [29]. A Counselling is a service offered to the individual who
is undergoing a problem and needs professional help to overcome it. Counseling in the process
of service by the Family Planning Field Officers there are five Classes and 36 Property. Coun-
seling divided into three area: Postpartum Counseling, Miscarriage Counseling, and Counseling
Balanced Strategy. In the design of Ontology which will do, there are data of Family Planning
Officer from BKKBN and divided into three existing data of Contraception Tool, Counseling Data
and Planning Data. Based on the data of Family Planning Field Officer. There are three different
classes from Family Planning Field Officer. Inside SubclassOf consists of Counseling, Contracep-
tion, and Planning. The data of Family Planning Field Officer there are three different classes, it
seen that Thing in SubclassOf consists of Counseling, Contraception, and Planning.OWL defines
the root of all that exists with owl: Thing. All the classes created implicitly are subclasses owl:
Thing. Creation of class using owl: Class and declare subclass with RDF subClas- sOf. A class
is the central point of ontology. A class describes a concept in a domain consisting of multiple
instances or individual. The class is also known as the concept, object, and categories. A class
has subclasses that state a more specific concept of the superclass.
Figure 1. VOWL Family Planning Field Officer

Based on figure 1 explain the data of Family Planning Field Officer there are three different
classes, it seen that Thing in SubclassOf consists of Counseling, Contraception, and Planning.
OWL defines the root of all that exists with owl: Thing. A class is the central point of ontology and
class describes a concept in a domain consisting of multiple instances or individual. The class is
also known as the concept, object, and categories. Data Properties Family Planning field officer
have slots. The property or slot consists of two types, namely the nature of the object and the
nature of the datatype. The properties of the object will connect the instance with the instance
datatype property will connect the example with the datatype value. As for the resulting class
shown in Figure 2.
Figure 2. Class Ontology Family Planning Field Officer
Based on figure 2, The design of Ontology above generated three types of classes are Consid-
ered Strategy Counseling has the domain of Konseling and Range of Individual Group Strategies,
Kontrasepsi , and Perencanaan. Object property of family planning service officer with Konsel-
ing domain that is counseling data of balanced strategy have data property of Strategi Kelompok
and Strategi Individu, Konseling Paska Keguguran have post-miscellaneous property properties,
Konseling Paska Persalinan has post-natal property properties. Then for object property with Kon-
trasepsi domain and contraceptive recommendation data properties of Implan KB, IUD, Kondom,
MAL, Pil Kombinasi, Pil Progestin, Suntik Kombinasi, Suntik Progestin, Tubektomi , Vasektomi.
For data object property with domain Perencanaan and data properties stages are data being
Pasangan Baru Menikah, Pasangan Baru Memiliki Anak, Masa Dewasa Muda, Pasangan Kelu-
arga Dewasa and Sedang Mengandung. Property data with the domains of Kontrasepsi and the
range string is how to work, how to use, advantages, limitations, notions, can’t use, places of
service, rumors and facts, and video. Then the property data plan has a range/value string and
has a domain that is the domain of young adulthood new couples have children, newly married
couples domain, the domain of adult family pairs and domain being pregnant. Then contraceptive
recommendation data properties have a range/value string with newly married couples domains
new partner domains have children and domains are containing. Ontograf explained the data of
family planning field officers there are three different classes, seen that the subclass of a thing
consists of Konseling, Kontrasepsi and Perencanaan. OWL defines the root of all that exists with
owl: Thing. So all the classes created implicitly are subclasses owl: Thing. Creation of class
using owl: class and declare subclass with rdfs: subclass. A class is the central point of ontol-
ogy. The class describes a concept in a domain consisting of multiple instances or individual.
Based on figure 3 data visualization with VOWL more data is described. There is a family plan-
ning field class and has three subclasses of Konseling, Kontrasepsi and Perencanaan. In the
sub-class of Konseling, there are three sub-properties: Konseling Paska Persalinan, Konseling
Paska Keguguran and Perencanaan. For Kontrasepsi subclasses, there are ten sub-properties
:Implan KB, IUD, Kondom, MAL, Pil Kombinasi, Pil Progestin, Suntik Kombinasi, Suntik Progestin,
Tubektomi , Vasektomi . For Perencanaan subclasses there are sub-properties, Pasangan Baru
Menikah, Pasangan Baru Memiliki Anak, Masa Dewasa Muda, Pasangan Keluarga Dewasa and
Sedang Mengandung. Property data are related to each other and have relationships to class
and object properties.

166 ISSN: 1693-6930
Figure 3. VOWL Family Planning Field Ofﬁcer
In Figure 4 there is a Kontrasepsi class and ten subclasses of Implan KB, IUD, Kondom,
MAL, Pil Kombinasi, Pil Progestin, Suntik Kombinasi, Suntik Progestin, Tubektomi , Vasektomi
In each object property, there is how to work, how to use, can be used if, video explanations,
advantages, notions, rumours and facts and place of service. Then there is the data property that
represents the existing data components of the object property. Property data are related to each
other and have relationships to class and object properties.
Figure 4. VOWL contraceptive

In eclipse komma there are sections such as classes. For the class in the family planning
field officer having three child classes. The classes namely Konseling, Kontrasepsi and Peren-
canaan. shown in Figure 5.
Figure 5. RDF Class Family Planning Field Officer
In each class, there are object properties and data properties. For object properties, there
are data properties in each class. The use of RDF Schema is mainly to describe the relationships
that occur between classes, properties, values, and instances in a semantic model.
5. Conclusion
In this paper, family planning field data based Standard metadata initially built. Then, with
support from BKKBN, data integration, scheme reorganization, and data querying are performed.
OWL is the most expressive ontology language used for semantic web applications Since the se-
mantic web provides information that can automatically and integrates information on the Website
and RDF functions in information flow, and as the data model used to describe the information.
The Ontology tables represented and visualized with VOWL are listed in table 2.
Table 2. Class and Subclass of Family Planning Field Officer.
Class Subclass of
Counseling Thing
Contraception Thing
Planning Thing
The essence of the work is to achieve interoperability of family planning field officer.This method
can restore the semantic of XML schema and data information efficiently. Ontology design no
need statistical method. The main contribution of this paper is constructing the ontology automat-
ically from XML schema. The experimental results show that our method of creating data Inter-
operability is comfortable and convenient for users. Our research can motivate future research to
improve ontology within the scope of family planning and provide information to communities in
Indonesia to implement family planning programs that assist development Population and Repro-
ductive Health and adding some technologies such as natural language processing and artificial
intelligence.
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