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TELKOMNIKA, Vol.17, No.1, February 2019, pp. 179~186
ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018
DOI: 10.12928/TELKOMNIKA.v17i1.9107 ๏ฎ 179
Received February 27, 2018; Revised November 8, 2018; Accepted November 30, 2018
Knowledge management system SOP
using semantic networks connected with
personnel information system:
case study Universitas Singaperbangsa Karawang
Intan Purnamasari*1
, Irman Hermadi2
, Yani Nurhadryani3
1
Fakultas Ilmu Komputer, Universitas Singaperbangsa Karawang,
H.S Ronggowaluyo St., Telukjambe Timur, Karawang 41361, Indonesia
2,3
Departement of Computer Science, Bogor Agricultural University,
Raya Darmaga St., Dramaga Campus, Bogor 16680, Indonesia
*Corresponding author, e-mail: intan92@staff.unsika.ac.id
Abstract
Document Standard Operating Procedures (SOP) can manage business processes and
employee performance in an organization. This study aims to develop a system that can publish SOP
documents automatically distributed to employees. In this study, an analysis of the relationship between
SOP documents and employees is carried out so that it can be directly allocated to employees according
to the position. Knowledge analysis of the relationship between SOP documents and employees is done
using semantic network analysis. Semantic networks are used to analyze components of knowledge and
the relationship between SOP documents and employees. The results of the report of the elements of
knowledge and the relationship between SOP documents found 25 SOP documents were consisting of
6 types of central nodes with 156 child nodes and had 7 types of relations containing 207 relations. SOP
knowledge management system is connected to the personnel information system (SIPEG) so that it
makes it easier for users to find, accommodate, and manage the knowledge contained in SOP documents.
System implementation is done using PHP programming language with CodeIgniter framework, Rest API,
and MySQL database.
Keywords: CodeIgniter, extreme programming, semantic network, standard operating procedures
Copyright ยฉ 2018 Universitas Ahmad Dahlan. All rights reserved.
1. Introduction
Standard Operating Procedure (SOP) can regard as an essential component in
ensuring the consistency of data quality as well as information. SOP provide complete
information to the staff involved in doing their job well and in a standardized manner according
to the terms agreed. SOP can ensure a behavior of the user of the system was running by the
referenced standards. Also, SOP can support the work process for the better because a policy
or procedure is a significant factor that promotes success in an organization [1-3].
University Of Singaperbangsa Karawang (UNSIKA) is a university located in Karawang
city and has been establishing since 5 September 1965 [4]. UNSIKA is one of the institutions
that implement SOP in the implementation of performance in it. But the lack of knowledge of the
document management system that focuses on SOP documents in UNSIKA create some
problems that often arise. Among the difficulties in managing SOP documents experienced by
the administration. Then the difficulty in finding SOP documents that want to target because of
the absence of an SOP document repository system. Also, some employees sometimes take a
long time finding SOP documents needed for personnel interests. Knowledge of SOP is
required so that all employees involved in it perform the performance by the applicable SOP.
The semantic network is a representation of an object depicted in the form of a circle or node
and rectangle or arc which is a linking groove represented in the shape of arrows [5]. Semantic
networks are widely used to describe a connectedness of some objects. Therefore, what makes
many researchers use semantic networks in facilitating the search process. Research in the
development of the knowledge management system using a semantic web has been done a lot
before. For example in the study [6]. The research applied a semantic network as a graphical
representation of text mining to documents in the Biomedical field.
๏ฎ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186
180
Furthermore, in the study [7] which presents a method for knowledge representation
agents with nodes and activation level links defined in examples, concepts, relations, and
axioms. In addition to other studies by Aritonang et al. [8] semantic networks are used in the
form of an ontology that presents the hierarchical relationship of the many regulations imposed
by the customs director general. The purpose of the study is to make it easier for users to
search, manage and track the history of change and the relationship between rules used by the
organization [8]. Hasan et al. [9] apply semantic network to present an approach of web
services composition based on both semantic description and QoS; such research is focused on
the hierarchy of web services.
Research on knowledge management of SOP document has been done by Pangudi
that is by making knowledge management system of SOP based ontology document. The
analysis uses the semantic network with application of Knowledge Management System (KMS)
method which is named SOP Navigator. SOP Navigator is a web-based application that serves
as a search system, navigates SOP documents and manages SOP document data. SOP
Navigator made with the implementation of semantic network based ontology using database
graph.
But the prototype of the SOP Navigator system that has been developing is still an early
development. Search patterns implemented on this system only use searches with names from
nodes not advance query. Also, SOP Navigator system has not been integrating with other
information systems are interrelated. The absence of integration with other information systems
according to the scope of previous research makes the SOP document only known if the user
opens the SOP Navigator application [10].
Base on these studies, to make knowledge management document SOP UNSIKA can
facilitate users especially employees involved in it, in accessing information related to SOP
documents. For SOP knowledge management system to have more appropriate and can be
monitored to the performance of employees according to applicable SOP, the method of
knowledge management and management of SOP documents integrated with SIPEG UNSIKA.
SIPEG UNSIKA is one of information system applied in UNSIKA as an information system that
supports administrative process and personnel resources in UNSIKA.
2. Research Method
Stages of research that will be done based on the problems caused are how to create a
centralized document management system SOP and integrated with SIPEG UNSIKA. Stages of
research that was done are by using software engineering methods, or System Development
Life Cycle (SDLC) model approach extreme programming (the steps include: (1) Planning and
Analysis, (2) Design, (3) Implementation, (4) Testing).
2.1. Planning and Analysis
This stage is done by analysis based on user needs and software requirements, as
follows:
1) User Requirement
At this stage the user's investigation is done in the management of SOP documents with two
techniques, namely:
a) Interview
b) Observation
2) Software Requirement
At this stage will be analyzed the needs required by the software or functional needs. The
purpose of this software needs analysis to facilitate the design of system development to
make. The begin by studying the ongoing process flow, making the link to SOP document in
UNSIKA in semantic network form, what are the main features needed, then how to make
SIPEG UNSIKA document management information system.
In representing a semantic network, the model requires more in-depth analysis first.
According to Atteveldt in semantic network analysis, there is a relationship between concepts in
a semantic network [5]. Such ideas can be actors, issues, or abstract values, and can be
expressed in text form using names, collective nouns, prepositions, or other words that can
represent the concept. This analysis stage, SOP documents were analyzed using network
analysis semantic techniques. The stages can be seen in Figure 1.
TELKOMNIKA ISSN: 1693-6930 ๏ฎ
Knowledge management system SOP using semantic networksโ€ฆ (Intan Purnamasari)
181
Figure 1. Semantic network analysis [5]
2.2. Design
In the analysis phase of software design to be built that is by using Class Responsibility
Collaboration (CRC Card) and Spike Solution modeling using Unified Modeling Language
(UML). The design of some UML modeling among others Use Case diagram, Activity diagram,
Sequence diagram, and Class diagram.
1. CRC Card used to pay attention to the business process as a whole by dividing the classes
that show the needs and responsibilities of levels created by the attributes used [11].
2. Use Case diagram used as a flow of user activity (user) against the software to be built.
3. An activity diagram is an extension of the use case that generates a workflow performed on
the system by the business process to developed; they will translate into a user interface or
user interface on the software to be built.
4. Sequence diagram will make according to the flow of the previous activity diagram; the
sequence diagram will illustrate how the system processes the data in the form of input so
that it becomes an output as expected. The sequence diagram was done as a drawing
material for program flow or program algorithm to the system to be developed.
2.3. Implementation
This stage is an application of all the design results that have previously made into the
actual form Designs that have created are implemented using a web-based programming
language using the implementation of the CodeIgniter framework. Management Information
System Knowledge SOP document personnel section UNSIKA made web-based to integrated
with SIPEG UNSIKA. The system will be built with the addition of web service implementation to
be able to exchange data between two systems to be integrated. In this case to support data
exchange between the two methods used Rest API.
2.4. Testing
There are two tests at this stage; they are a Unit test and Acceptance test. A unit test is
a test performed on the source code that has created by the programmer who wrote part of the
program unit. A unit tests do because the programmer was familiar and memorized with the
internal details of the group. The purpose of unit testing is to make the programmer satisfied
that the program unit works as expected [12]. While acceptance testing is a formal test
conducted to determine whether the system meets the criteria of the recipient [13].
In this study, testing is done more to the test of the functionality created by the software
to built whether appropriate or not with the needs of the user. Testing is done using black box
testing.
3. Result and Analysis
3.1. Results of Semantic Network Analysis
Semantic analysis conducted on SOP documents in the field of personnel section
UNSIKA 25 papers. The investigation is done to determine some property, and knowledge
relation exists in each SOP document. The knowledge property represented as a relief object
(node) with the SOP name as the primary node. Then the knowledge relation is described as a
relationship that appears to explain the interrelationships between nodes.
Figure 2 is a semantic illustration of the interrelationships between classes created in
representing SOP documents. SOP dispositions that will make based on different employee
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TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186
182
positions. One SOP document can perform by more than one type of situation, and vice versa
one kind of area is responsible for carrying out more than one procedure.
SOP
EMPLOYEES
STRUCTURALFUNCTIONAL
CONSISTS OF CONSISTS OF
PREPIRED BY DIRECTED TOVERIFIED BY REVISED BY
REGULATION
PREREQUISITE
DOCUMENT
SUITABLE WITH
ATTACH
THE
APPLICABLE
TIME
HAVE
Figure 2. Semantic illustration of SOP UNSIKA
Whereas Table 1 defines source nodes that have destination nodes corresponding to
the relationships that created. SOP is a source node that has five connections connected to the
employee position. While the employee node has two contacts that divided into academic
employees and structural employees.
Table 1. List of Semantic Relations to be Used
No Relation Source Node Destination Node
1 PREPIRED BY Related SOP Employee
2 VERIFIED BY Related SOP Employee
3 CHECKED BY Related SOP Employee
4 REVISED BY Related SOP Employee
5 DIRECTED TO Related SOP Employee
6 ATTACH Related SOP Document requirements
7 SUITABLE WITH Related SOP Regulations
8 CONSISTS OF Employee Functional & Structural
3.2. Results of Design Analysis
The design of the system created by using UML modeling to support the design process
done in more detail. Integration Knowledge Management System SOP with SIPEG users are
public users (Pegawai) and Administrators (Administrator). Public users can receive SOP
distribution according to the position that appears on the SIPEG account page. Administrator
can manage SOP document in Knowledge Management System SOP. Use case diagram can is
TELKOMNIKA ISSN: 1693-6930 ๏ฎ
Knowledge management system SOP using semantic networksโ€ฆ (Intan Purnamasari)
183
used to show the different types of users and the relation with the system [14]. Use case
diagram is shown in Figure 3.
Figure 3. Integration system knowledge management system SOP with
SIPEG use case diagram
3.3. Results of Implementation System
The results of system implementation are the stages of coding the program of the
design that has created. The program code is implemented using the PHP programming
language with the application of the CodeIgniter framework. The program code that has
produced in some application interface that is the SOP knowledge management system that
runs itself. The results from semantic network representation SOP can be seen in Figure 4. On
this page display components of knowledge and their relationships obtained in one SOP
document from the results of the analysis using a semantic network. While the hierarchical
relationship between SOP documents can be seen in Figure 5.
๏ฎ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186
184
Figure 4. Semantic network representation SOP UNSIKA
Figure 5. Displaying knowledge management system SOP.
SOP dispositions immediately appear on the SIPEG UNSIKA page shown in Figure 6.
On this page display an example of an employee who has a structural position as the head of
the Laboratory and as a Lecturer. The employee can see the SOP menu which automatically
displays SOP relations that are mutually connected according to their position. This makes it
TELKOMNIKA ISSN: 1693-6930 ๏ฎ
Knowledge management system SOP using semantic networksโ€ฆ (Intan Purnamasari)
185
easier for employees to get SOP distributions that must be obeyed during their positions. SOP
details for more details can be seen directly by employees. In addition, employees can upload
SOP documents and prerequisite forms contained in SOP documents.
Figure 6. Displaying knowledge and disposition SOP in SIPEG UNSIKA.
3.4. Result of Testing System
Testing is performed on the functions contained in the system using black box testing.
Test results can be seen in Table 2.
Table 2. List of Black Box Test Results on the System
Function Location Test scenario Expectation Test Result
Function Login SOP
Management
login page
Input username
and password
If invalid username and password input
appears on the main page, otherwise an
error message appears
Succeed
Function Add
Data SOP
SOP Data
Management
Page
Input new data
SOP
If input data is appropriate then SOP
data stored in the database, if the
information is not relevant will display an
error message
Succeed
Function Update
Data SOP
SOP Data
Management
Page
Input new data
SOP
If input data is appropriate then SOP
data stored in the database, if the
information is not applicable will display
an error message
Succeed
Function-Delete
Data SOP
SOP Data
Management
Page
Selecting data
SOP will be
delete
SOP data deleted from
Database
Succeed
Function Show
List Data SOP
SOP Data
Management
Page
Success to login Automatically display all SOP data list Succeed
Function Show
List Detail Data
SOP
SOP Data
Management
Page
Selecting data
SOP
SOP details data page is view according
to the selected information
Succeed
Function Search
Data
SOP Data
Management
Page
Input keyword If evidence found then appear SOP data
by the keyword, If not showing a
notification message
Succeed
Function Show
Disposition Data
SOP
SIPEG user
page
Selecting SOP
menu
Automatically will display SOP list and
SOP relation details according to user
position
Succeed
๏ฎ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186
186
4. Conclusion
This study aims to create a SOP knowledge management system by implementing
semantic networks in analyzing hierarchical relationships between SOP documents. The SOP
knowledge management system is then linked to the UNSIKA staffing system (SIPEG) so that
employees get SOP documents that are distributed according to their position. This study
resulted from the analysis of 25 SOP documents which contained 6 types of knowledge nodes
from 1 document and there were 7 relations that connected certain nodes.
Employees need SOP documents to support their work to be in accordance with the
procedures applied by a particular agency. Therefore, this system can facilitate employees in
accessing SOP documents in real time directly into the SIPEG UNSIKA employee account.
Semantic network is used in the search for SOP documents, because the results of the
application of the SOP knowledge management system associated with the SIPEG UNSIKA
make employees not need to look for SOP documents.
Acknowledgments
The authors would like to express their gratitude to Mr. Toto Suharto from the
Department of the Employee University of Singaperbangsa Karawang because it has taken time
and provide SOP documents as research materials. Thank you also to Mr. Rifky Syaripudin as a
software developer in the Data and Information Center or can be called UPT TIK UNSIKA.
References
[1] Moreno-Villanueva M, Capri M, Breusing N, Siepelmeyer A, Sevini F, Ghezzo A, Craen AJMD,
Hirvonen A, Hurme M, Schรถn C, et al. MARK-AGE standard operating procedures (SOP): A
successful effort. Mechanisms of Ageing and Development. US National Library of Medicine National
Institutes of Health. 2015; 151:18-25. doi:10.1016/j.mad.2015.03.007.
[2] Wicaksana R W, Herdiyanti A, Susanto D T. Making Access Management Standard Operating
Procedure (SOP) for E-Performance Applications in the Surabaya City Program Based on the ITIL
V3 Framework and ISO 27002 (in Indoensia Pembuatan Standar Operasional Prosedur (SOP)
Manajemen Akses untuk Aplikasi E-Performance Bina Program Kota Surabaya Berdasarkan
Kerangka Kerja ITIL V3 dan ISO 27002). Open Access Journal of Information Systems. 2016; 6(1):
101-116.
[3] Prasetya P, Rochim A F, Windasari I P. Design and Implementation of Standard Operating
Procedure (SOP) for Information System Security at the Faculty of Engineering, Diponegoro
University Using ISO 27002 Standards (in Indonesia Desain dan Implementasi Standar Operasional
Prosedur (SOP) Keamanan Sistem Informasi Fakultas Teknik Universitas Diponegoro Menggunakan
Standar ISO 27002). Jurnal Teknologi dan Sistem Komputer. 2015; 3(3): 387-392.
[4] [UNSIKA]. 2016. About UNSIKA (History of UNSIKA) (in Indonesia Tentang UNSIKA (Sejarah
UNSIKA)). http://unsika.ac.id/. Accessed pada 4 November 2016.
[5] Sowa J F. Semantic Network. Encyclopedia of Cognitive Science. 2006.
[6] Yoo I. Semantic Text Mining and its Application in Biomedical Domain. Tesis. Philadelphia: Drexel
University; 2006.
[7] Hernes M. The Semantic Method For Agentsโ€™ Knowledge Representation In The Cognitive Integrated
Management Information System. Computer Science and Information Systems. 6:195-202. 2015;
doi: 10.15439/2015F319.
[8] Aritonang E M, Seminar K B, Wahjuni S, Purbo O W. Modelling Ontology and Semantic Network of
Regulation in Customs and Excise. TELKOMNIKA Telecommunication Computing Electronics and
Control. 2017; 15(4): 1934-1942.
[9] AH N H, Shu G, Malek Al-G, Zi-Long J. An Optimal Semantic Network-Based Approach for Web
Service Composition with QoS. TELKOMNIKA Telecommunication Computing Electronics and
Control. 2013; 11(8): 4505-4511.
[10] Putra P C. SOP Navigator: Ontology and Semantic-Based Knowledge Management System For
Standard Operating Procedures. International Journal of Information Technology and Business
Management. 2016; 47(1): 37-45.
[11] Pressman R S. Software engineering (in Indonesia Rekayasa Perangkat Lunak). Book 1 Ed 7th
.
Harnaningrum LN, P. Yogyakarta: Andi. 2010.
[12] Atteveldt W V. Semantic Network Analysis Techniques for Extracting, Representing, and Querying
Media Content. Charleston SC: Book Surge. 2008.
[13] Naik K, Tripathy P. Software Testing and Quality Assurance: Theory and Practice Software Testing
and Quality Assurance: Theory and Practice. New York: Wiley. 2008.
[14] Satzinger J W, Jackson R B, Burd S D. System Analysis & Design in A Changing World. Boston:
Cengage Learning. 2010.

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Knowledge management system SOP using semantic networks connected with personnel information system: case study Universitas Singaperbangsa Karawang

  • 1. TELKOMNIKA, Vol.17, No.1, February 2019, pp. 179~186 ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018 DOI: 10.12928/TELKOMNIKA.v17i1.9107 ๏ฎ 179 Received February 27, 2018; Revised November 8, 2018; Accepted November 30, 2018 Knowledge management system SOP using semantic networks connected with personnel information system: case study Universitas Singaperbangsa Karawang Intan Purnamasari*1 , Irman Hermadi2 , Yani Nurhadryani3 1 Fakultas Ilmu Komputer, Universitas Singaperbangsa Karawang, H.S Ronggowaluyo St., Telukjambe Timur, Karawang 41361, Indonesia 2,3 Departement of Computer Science, Bogor Agricultural University, Raya Darmaga St., Dramaga Campus, Bogor 16680, Indonesia *Corresponding author, e-mail: intan92@staff.unsika.ac.id Abstract Document Standard Operating Procedures (SOP) can manage business processes and employee performance in an organization. This study aims to develop a system that can publish SOP documents automatically distributed to employees. In this study, an analysis of the relationship between SOP documents and employees is carried out so that it can be directly allocated to employees according to the position. Knowledge analysis of the relationship between SOP documents and employees is done using semantic network analysis. Semantic networks are used to analyze components of knowledge and the relationship between SOP documents and employees. The results of the report of the elements of knowledge and the relationship between SOP documents found 25 SOP documents were consisting of 6 types of central nodes with 156 child nodes and had 7 types of relations containing 207 relations. SOP knowledge management system is connected to the personnel information system (SIPEG) so that it makes it easier for users to find, accommodate, and manage the knowledge contained in SOP documents. System implementation is done using PHP programming language with CodeIgniter framework, Rest API, and MySQL database. Keywords: CodeIgniter, extreme programming, semantic network, standard operating procedures Copyright ยฉ 2018 Universitas Ahmad Dahlan. All rights reserved. 1. Introduction Standard Operating Procedure (SOP) can regard as an essential component in ensuring the consistency of data quality as well as information. SOP provide complete information to the staff involved in doing their job well and in a standardized manner according to the terms agreed. SOP can ensure a behavior of the user of the system was running by the referenced standards. Also, SOP can support the work process for the better because a policy or procedure is a significant factor that promotes success in an organization [1-3]. University Of Singaperbangsa Karawang (UNSIKA) is a university located in Karawang city and has been establishing since 5 September 1965 [4]. UNSIKA is one of the institutions that implement SOP in the implementation of performance in it. But the lack of knowledge of the document management system that focuses on SOP documents in UNSIKA create some problems that often arise. Among the difficulties in managing SOP documents experienced by the administration. Then the difficulty in finding SOP documents that want to target because of the absence of an SOP document repository system. Also, some employees sometimes take a long time finding SOP documents needed for personnel interests. Knowledge of SOP is required so that all employees involved in it perform the performance by the applicable SOP. The semantic network is a representation of an object depicted in the form of a circle or node and rectangle or arc which is a linking groove represented in the shape of arrows [5]. Semantic networks are widely used to describe a connectedness of some objects. Therefore, what makes many researchers use semantic networks in facilitating the search process. Research in the development of the knowledge management system using a semantic web has been done a lot before. For example in the study [6]. The research applied a semantic network as a graphical representation of text mining to documents in the Biomedical field.
  • 2. ๏ฎ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186 180 Furthermore, in the study [7] which presents a method for knowledge representation agents with nodes and activation level links defined in examples, concepts, relations, and axioms. In addition to other studies by Aritonang et al. [8] semantic networks are used in the form of an ontology that presents the hierarchical relationship of the many regulations imposed by the customs director general. The purpose of the study is to make it easier for users to search, manage and track the history of change and the relationship between rules used by the organization [8]. Hasan et al. [9] apply semantic network to present an approach of web services composition based on both semantic description and QoS; such research is focused on the hierarchy of web services. Research on knowledge management of SOP document has been done by Pangudi that is by making knowledge management system of SOP based ontology document. The analysis uses the semantic network with application of Knowledge Management System (KMS) method which is named SOP Navigator. SOP Navigator is a web-based application that serves as a search system, navigates SOP documents and manages SOP document data. SOP Navigator made with the implementation of semantic network based ontology using database graph. But the prototype of the SOP Navigator system that has been developing is still an early development. Search patterns implemented on this system only use searches with names from nodes not advance query. Also, SOP Navigator system has not been integrating with other information systems are interrelated. The absence of integration with other information systems according to the scope of previous research makes the SOP document only known if the user opens the SOP Navigator application [10]. Base on these studies, to make knowledge management document SOP UNSIKA can facilitate users especially employees involved in it, in accessing information related to SOP documents. For SOP knowledge management system to have more appropriate and can be monitored to the performance of employees according to applicable SOP, the method of knowledge management and management of SOP documents integrated with SIPEG UNSIKA. SIPEG UNSIKA is one of information system applied in UNSIKA as an information system that supports administrative process and personnel resources in UNSIKA. 2. Research Method Stages of research that will be done based on the problems caused are how to create a centralized document management system SOP and integrated with SIPEG UNSIKA. Stages of research that was done are by using software engineering methods, or System Development Life Cycle (SDLC) model approach extreme programming (the steps include: (1) Planning and Analysis, (2) Design, (3) Implementation, (4) Testing). 2.1. Planning and Analysis This stage is done by analysis based on user needs and software requirements, as follows: 1) User Requirement At this stage the user's investigation is done in the management of SOP documents with two techniques, namely: a) Interview b) Observation 2) Software Requirement At this stage will be analyzed the needs required by the software or functional needs. The purpose of this software needs analysis to facilitate the design of system development to make. The begin by studying the ongoing process flow, making the link to SOP document in UNSIKA in semantic network form, what are the main features needed, then how to make SIPEG UNSIKA document management information system. In representing a semantic network, the model requires more in-depth analysis first. According to Atteveldt in semantic network analysis, there is a relationship between concepts in a semantic network [5]. Such ideas can be actors, issues, or abstract values, and can be expressed in text form using names, collective nouns, prepositions, or other words that can represent the concept. This analysis stage, SOP documents were analyzed using network analysis semantic techniques. The stages can be seen in Figure 1.
  • 3. TELKOMNIKA ISSN: 1693-6930 ๏ฎ Knowledge management system SOP using semantic networksโ€ฆ (Intan Purnamasari) 181 Figure 1. Semantic network analysis [5] 2.2. Design In the analysis phase of software design to be built that is by using Class Responsibility Collaboration (CRC Card) and Spike Solution modeling using Unified Modeling Language (UML). The design of some UML modeling among others Use Case diagram, Activity diagram, Sequence diagram, and Class diagram. 1. CRC Card used to pay attention to the business process as a whole by dividing the classes that show the needs and responsibilities of levels created by the attributes used [11]. 2. Use Case diagram used as a flow of user activity (user) against the software to be built. 3. An activity diagram is an extension of the use case that generates a workflow performed on the system by the business process to developed; they will translate into a user interface or user interface on the software to be built. 4. Sequence diagram will make according to the flow of the previous activity diagram; the sequence diagram will illustrate how the system processes the data in the form of input so that it becomes an output as expected. The sequence diagram was done as a drawing material for program flow or program algorithm to the system to be developed. 2.3. Implementation This stage is an application of all the design results that have previously made into the actual form Designs that have created are implemented using a web-based programming language using the implementation of the CodeIgniter framework. Management Information System Knowledge SOP document personnel section UNSIKA made web-based to integrated with SIPEG UNSIKA. The system will be built with the addition of web service implementation to be able to exchange data between two systems to be integrated. In this case to support data exchange between the two methods used Rest API. 2.4. Testing There are two tests at this stage; they are a Unit test and Acceptance test. A unit test is a test performed on the source code that has created by the programmer who wrote part of the program unit. A unit tests do because the programmer was familiar and memorized with the internal details of the group. The purpose of unit testing is to make the programmer satisfied that the program unit works as expected [12]. While acceptance testing is a formal test conducted to determine whether the system meets the criteria of the recipient [13]. In this study, testing is done more to the test of the functionality created by the software to built whether appropriate or not with the needs of the user. Testing is done using black box testing. 3. Result and Analysis 3.1. Results of Semantic Network Analysis Semantic analysis conducted on SOP documents in the field of personnel section UNSIKA 25 papers. The investigation is done to determine some property, and knowledge relation exists in each SOP document. The knowledge property represented as a relief object (node) with the SOP name as the primary node. Then the knowledge relation is described as a relationship that appears to explain the interrelationships between nodes. Figure 2 is a semantic illustration of the interrelationships between classes created in representing SOP documents. SOP dispositions that will make based on different employee
  • 4. ๏ฎ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186 182 positions. One SOP document can perform by more than one type of situation, and vice versa one kind of area is responsible for carrying out more than one procedure. SOP EMPLOYEES STRUCTURALFUNCTIONAL CONSISTS OF CONSISTS OF PREPIRED BY DIRECTED TOVERIFIED BY REVISED BY REGULATION PREREQUISITE DOCUMENT SUITABLE WITH ATTACH THE APPLICABLE TIME HAVE Figure 2. Semantic illustration of SOP UNSIKA Whereas Table 1 defines source nodes that have destination nodes corresponding to the relationships that created. SOP is a source node that has five connections connected to the employee position. While the employee node has two contacts that divided into academic employees and structural employees. Table 1. List of Semantic Relations to be Used No Relation Source Node Destination Node 1 PREPIRED BY Related SOP Employee 2 VERIFIED BY Related SOP Employee 3 CHECKED BY Related SOP Employee 4 REVISED BY Related SOP Employee 5 DIRECTED TO Related SOP Employee 6 ATTACH Related SOP Document requirements 7 SUITABLE WITH Related SOP Regulations 8 CONSISTS OF Employee Functional & Structural 3.2. Results of Design Analysis The design of the system created by using UML modeling to support the design process done in more detail. Integration Knowledge Management System SOP with SIPEG users are public users (Pegawai) and Administrators (Administrator). Public users can receive SOP distribution according to the position that appears on the SIPEG account page. Administrator can manage SOP document in Knowledge Management System SOP. Use case diagram can is
  • 5. TELKOMNIKA ISSN: 1693-6930 ๏ฎ Knowledge management system SOP using semantic networksโ€ฆ (Intan Purnamasari) 183 used to show the different types of users and the relation with the system [14]. Use case diagram is shown in Figure 3. Figure 3. Integration system knowledge management system SOP with SIPEG use case diagram 3.3. Results of Implementation System The results of system implementation are the stages of coding the program of the design that has created. The program code is implemented using the PHP programming language with the application of the CodeIgniter framework. The program code that has produced in some application interface that is the SOP knowledge management system that runs itself. The results from semantic network representation SOP can be seen in Figure 4. On this page display components of knowledge and their relationships obtained in one SOP document from the results of the analysis using a semantic network. While the hierarchical relationship between SOP documents can be seen in Figure 5.
  • 6. ๏ฎ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186 184 Figure 4. Semantic network representation SOP UNSIKA Figure 5. Displaying knowledge management system SOP. SOP dispositions immediately appear on the SIPEG UNSIKA page shown in Figure 6. On this page display an example of an employee who has a structural position as the head of the Laboratory and as a Lecturer. The employee can see the SOP menu which automatically displays SOP relations that are mutually connected according to their position. This makes it
  • 7. TELKOMNIKA ISSN: 1693-6930 ๏ฎ Knowledge management system SOP using semantic networksโ€ฆ (Intan Purnamasari) 185 easier for employees to get SOP distributions that must be obeyed during their positions. SOP details for more details can be seen directly by employees. In addition, employees can upload SOP documents and prerequisite forms contained in SOP documents. Figure 6. Displaying knowledge and disposition SOP in SIPEG UNSIKA. 3.4. Result of Testing System Testing is performed on the functions contained in the system using black box testing. Test results can be seen in Table 2. Table 2. List of Black Box Test Results on the System Function Location Test scenario Expectation Test Result Function Login SOP Management login page Input username and password If invalid username and password input appears on the main page, otherwise an error message appears Succeed Function Add Data SOP SOP Data Management Page Input new data SOP If input data is appropriate then SOP data stored in the database, if the information is not relevant will display an error message Succeed Function Update Data SOP SOP Data Management Page Input new data SOP If input data is appropriate then SOP data stored in the database, if the information is not applicable will display an error message Succeed Function-Delete Data SOP SOP Data Management Page Selecting data SOP will be delete SOP data deleted from Database Succeed Function Show List Data SOP SOP Data Management Page Success to login Automatically display all SOP data list Succeed Function Show List Detail Data SOP SOP Data Management Page Selecting data SOP SOP details data page is view according to the selected information Succeed Function Search Data SOP Data Management Page Input keyword If evidence found then appear SOP data by the keyword, If not showing a notification message Succeed Function Show Disposition Data SOP SIPEG user page Selecting SOP menu Automatically will display SOP list and SOP relation details according to user position Succeed
  • 8. ๏ฎ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 1, February 2019: 179-186 186 4. Conclusion This study aims to create a SOP knowledge management system by implementing semantic networks in analyzing hierarchical relationships between SOP documents. The SOP knowledge management system is then linked to the UNSIKA staffing system (SIPEG) so that employees get SOP documents that are distributed according to their position. This study resulted from the analysis of 25 SOP documents which contained 6 types of knowledge nodes from 1 document and there were 7 relations that connected certain nodes. Employees need SOP documents to support their work to be in accordance with the procedures applied by a particular agency. Therefore, this system can facilitate employees in accessing SOP documents in real time directly into the SIPEG UNSIKA employee account. Semantic network is used in the search for SOP documents, because the results of the application of the SOP knowledge management system associated with the SIPEG UNSIKA make employees not need to look for SOP documents. Acknowledgments The authors would like to express their gratitude to Mr. Toto Suharto from the Department of the Employee University of Singaperbangsa Karawang because it has taken time and provide SOP documents as research materials. Thank you also to Mr. Rifky Syaripudin as a software developer in the Data and Information Center or can be called UPT TIK UNSIKA. References [1] Moreno-Villanueva M, Capri M, Breusing N, Siepelmeyer A, Sevini F, Ghezzo A, Craen AJMD, Hirvonen A, Hurme M, Schรถn C, et al. MARK-AGE standard operating procedures (SOP): A successful effort. Mechanisms of Ageing and Development. US National Library of Medicine National Institutes of Health. 2015; 151:18-25. doi:10.1016/j.mad.2015.03.007. [2] Wicaksana R W, Herdiyanti A, Susanto D T. Making Access Management Standard Operating Procedure (SOP) for E-Performance Applications in the Surabaya City Program Based on the ITIL V3 Framework and ISO 27002 (in Indoensia Pembuatan Standar Operasional Prosedur (SOP) Manajemen Akses untuk Aplikasi E-Performance Bina Program Kota Surabaya Berdasarkan Kerangka Kerja ITIL V3 dan ISO 27002). Open Access Journal of Information Systems. 2016; 6(1): 101-116. [3] Prasetya P, Rochim A F, Windasari I P. Design and Implementation of Standard Operating Procedure (SOP) for Information System Security at the Faculty of Engineering, Diponegoro University Using ISO 27002 Standards (in Indonesia Desain dan Implementasi Standar Operasional Prosedur (SOP) Keamanan Sistem Informasi Fakultas Teknik Universitas Diponegoro Menggunakan Standar ISO 27002). Jurnal Teknologi dan Sistem Komputer. 2015; 3(3): 387-392. [4] [UNSIKA]. 2016. About UNSIKA (History of UNSIKA) (in Indonesia Tentang UNSIKA (Sejarah UNSIKA)). http://unsika.ac.id/. Accessed pada 4 November 2016. [5] Sowa J F. Semantic Network. Encyclopedia of Cognitive Science. 2006. [6] Yoo I. Semantic Text Mining and its Application in Biomedical Domain. Tesis. Philadelphia: Drexel University; 2006. [7] Hernes M. The Semantic Method For Agentsโ€™ Knowledge Representation In The Cognitive Integrated Management Information System. Computer Science and Information Systems. 6:195-202. 2015; doi: 10.15439/2015F319. [8] Aritonang E M, Seminar K B, Wahjuni S, Purbo O W. Modelling Ontology and Semantic Network of Regulation in Customs and Excise. TELKOMNIKA Telecommunication Computing Electronics and Control. 2017; 15(4): 1934-1942. [9] AH N H, Shu G, Malek Al-G, Zi-Long J. An Optimal Semantic Network-Based Approach for Web Service Composition with QoS. TELKOMNIKA Telecommunication Computing Electronics and Control. 2013; 11(8): 4505-4511. [10] Putra P C. SOP Navigator: Ontology and Semantic-Based Knowledge Management System For Standard Operating Procedures. International Journal of Information Technology and Business Management. 2016; 47(1): 37-45. [11] Pressman R S. Software engineering (in Indonesia Rekayasa Perangkat Lunak). Book 1 Ed 7th . Harnaningrum LN, P. Yogyakarta: Andi. 2010. [12] Atteveldt W V. Semantic Network Analysis Techniques for Extracting, Representing, and Querying Media Content. Charleston SC: Book Surge. 2008. [13] Naik K, Tripathy P. Software Testing and Quality Assurance: Theory and Practice Software Testing and Quality Assurance: Theory and Practice. New York: Wiley. 2008. [14] Satzinger J W, Jackson R B, Burd S D. System Analysis & Design in A Changing World. Boston: Cengage Learning. 2010.