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Sasmoko, Sasmoko

Check 39. 2018 Scopus - full -
Optimising human capital via
positive.pdf
by Arta Sundjaja
Submission date: 27-May-2019 10:21AM (UTC+0700)
Submission ID: 1102563358
File name: ._2018_Scopus_-_f ull_-_Optimising_human_capital_via_positive.pdf  (3.8M)
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Check 39. 2018 Scopus - full - Optimising human capital via
positive.pdf
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repository.unib.ac.id
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docplayer.net
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Indonesia
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mech.uthm.edu.my
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research.binus.ac.id
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media.neliti.com
Internet  Source
Sigit Wijaksono, Sasmoko, Y Indrianti, SA
Widhoyoko. "Jakarta socio-cultural ecology: a
sustainable architecture concept in urban
neighbourhood", IOP Conference Series:
Earth and Environmental Science, 2017
Publicat ion
www.francoangeli.it
Internet  Source
Sasmoko, F Doringin, Y Indrianti, A M Goni, P
Ruliana. "Indonesian Teacher Engagement
Index (ITEI): An Emerging Concept of
Teacher Engagement in Indonesia", IOP
Conference Series: Materials Science and
Engineering, 2018
Publicat ion
Submitted to 2642
Student  Paper
Submitted to Universiti Teknologi Malaysia
Student  Paper
pt.scribd.com
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ijrrjournal.com
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Colombia
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kar.kent.ac.uk
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Sasmoko, B S Abbas, Y Indrianti, S A
Widhoyoko. " Indonesian teacher
engagement index: ", IOP Conference Series:
Materials Science and Engineering, 2018
Publicat ion
Submitted to Vels University
Student  Paper
Leo Aldianto, Grisna Anggadwita, Aang
Noviyana Umbara. "Entrepreneurship
education program as value creation",
Journal of Science and Technology Policy
Management, 2018
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math.ntnu.edu.tw
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University - Continuing Education
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zombiedoc.com
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halshs.archives-ouvertes.fr
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du.lv
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journal-archieves27.webs.com
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research.bond.edu.au
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www.proceedings.com
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pdfs.semanticscholar.org
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ejournal.upbatam.ac.id
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digital.sandiego.edu
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repository.uin-malang.ac.id
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www.podomorouniversity.ac.id
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scholar.binus.ac.id
Internet  Source
Sasmoko, Andi Muhammad Muqsith, Danu
Widhyatmoko, Yasinta Indrianti, Aqeel Khan.
"Indonesian teacher engagement index (ITEI):
Decision support system for education", 2017
5th International Conference on Cyber and IT
Service Management (CITSM), 2017
Publicat ion
Submitted to UIN Syarif Hidayatullah Jakarta
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www.research.manchester.ac.uk
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actacommercii.co.za
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irihs.ihs.ac.at
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Leicestershire
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podomorouniversity.ac.id
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users.anet.com
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Submitted to Institute of Graduate Studies,
UiTM
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Submitted to Higher Education Commission
Pakistan
Student  Paper
Submitted to Universitas Airlangga
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revista.univem.edu.br
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publications.aston.ac.uk
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pure.au.dk
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scholar.sun.ac.za
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"Well-Being Research in South Africa",
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Springer Science and Business Media LLC,
2013
Publicat ion
Submitted to The University of Manchester
Student  Paper
Arnold B. Bakker, Evangelia Demerouti.
"Towards a model of work engagement",
Career Development International, 2008
Publicat ion
Submitted to Deakin University
Student  Paper
S A Widhoyoko, Sasmoko, L A Nasir, S R
Manalu, Y Indrianti. "W.a.w (we are watching)
smart app: accommodating social perception
towards public off icers’ performance",
Journal of Physics: Conference Series, 2018
Publicat ion


Similarity "Optimising human capital via positive organisational behaviour: A case study of Indonesia’s textile industry"

Meyliana, Meyliana

Check 45. Agile Methods for
ERP Implementation.pdf
by Arta Sundjaja
Submission date: 13-Sep-2019 10:46AM (UTC+0700)
Submission ID: 1102514624
File name: 45._Agile_Methods_for_ERP_Implementation.pdf (295.47K)
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Submitted to Harrisburg University of Science
and Technology
Student Paper
Maria Paasivaara, Casper Lassenius.
"Challenges and Success Factors for Large-
scale Agile Transformations", Proceedings of
the Scientific Workshop Proceedings of XP2016
on - XP '16 Workshops, 2016
Publication
Santo Fernandi Wijaya, Raymondus Raymond
Kosala, Meyliana, Harjanto Prabowo. "Impact of
IT governance framework in post-
implementation for ERP performance: Literature
review", 2017 International Conference on ICT
For Smart Society (ICISS), 2017
Publication
Hasnah Haron, Ishak Ismail, Daing Nasir
Ibrahim, Mohd Ridzuan Darun, Kamal Zuhairi
Zamli, Aziman Abdullah, Anderes Gui. "The
Development of Anti Bribery Management
System: A Preliminary Study", 2018
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International Conference on Information
Management and Technology (ICIMTech), 2018
Publication
Santo F. Wijaya, Harjanto Prabowo, Meyliana,
Raymond Kosala. "Identification of key success
factors and challenges for ERP systems — A
systematic literature review", 2017 International
Conference on Applied Computer and
Communication Technologies (ComCom), 2017
Publication
Rohmat Taufiq, Meyliana, Achmad Nizar
Hidayanto, Harjanto Prabowo. "The Affecting
Factors of Blockchain Technology Adoption of
Payments Systems in Indonesia Banking
Industry", 2018 International Conference on
Information Management and Technology
(ICIMTech), 2018
Publication
dspace.lib.cranfield.ac.uk
Internet Source
Arief Agus Sukmandhani, Bambang Dwi
Wijanarko, Eric Gunawan, Devriady Pratama,
Ford Lumban Gaol, Indrajani Sutedja.
"Measurement effectiveness and efficiency to
improve the IT services using ITSM", 2017
International Conference on Information
Management and Technology (ICIMTech), 2017
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Submitted to University of Derby
Student Paper
Tanty Oktavia, Harjanto Prabowo, Meyliana,
Suhono Harso Supangkat. "The Comparison of
MOOC (Massive Open Online Course)
Platforms of edX and Coursera (Study Case:
Student of Programming Courses)", 2018
International Conference on Information
Management and Technology (ICIMTech), 2018
Publication
Submitted to Victoria University
Student Paper


English

Hasil Similarity "Agile Methods for ERP Implementation: A Systematic Literature Review"

Check 55. Analysis of higher
education student’s behavior.pdf
by Arta Sundjaja
Submission date: 13-Sep-2019 11:01AM (UTC+0700)
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Yakob Utama Chandra, Sugiarto Hartono.
"Analysis Factors of Technology Acceptance of
Cloud Storage: A Case of Higher Education
Students Use Google Drive", 2018 International
Conference on Information Technology Systems
and Innovation (ICITSI), 2018
Publication
Submitted to School of Business and
Management ITB
Student Paper
Yakob Utama Chandra, Lay Christian, Hanny
Juwitasary, Robertus Nugroho Perwiro Atmojo,
William Febrianto. "Analysis Factors of Intention
to Use Music as a Service Application: A Case
Study of Spotify Application", 2018 International
Conference on Computer, Control, Informatics
and its Applications (IC3INA), 2018
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Yakob Utama Chandra, Desi Maya Kristin, Joni
Suhartono, Fina Shabrina Sutarto, Minseol
Sung. "Analysis of Determinant Factors of User
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Acceptance of Mobile Payment System in
Indonesia (A Case Study of Go-Pay Mobile
Payment)", 2018 International Conference on
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(ICIMTech), 2018
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text-id.123dok.com
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Lembar Peer Review "Development and Validation of Instruments Adoption FinTech services in Indonesia (Perspective of Trust and Risk)"

Prihastomo, Yoga

Hidayanto, Achmad Nizar

Prabowo, Harjanto

The Key Success Factors in E-Marketplace Implementation: A Systematic Literature Review	

, Meyliana, Achmad Nizar Hidayanto, Harjanto Prabowo

Check 15. A study on information
system collaboration.pdf
by Arta Sundjaja
Submission date: 12-Sep-2019 11:25AM (UTC+0700)
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Oktavia, Tanty

Supangkat, Suhono Harso

Check 49. The Comparison of
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Course).pdf
by Arta Sundjaja
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Check 49. The Comparison of MOOC (Massive Open Online
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Martin-Blas, T.. "The role of new technologies in
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in Physics", Computers & Education, 200901
Publication
Submitted to Bridgepoint Education
Student Paper
Sugiarto Hartono, Raymondus Raymond
Kosala, Suhono Harso Supangkat, Benny Ranti.
"Impact of Intention to Use to a Document
Management System (Case Study Approach)",
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Balasubramanian, Kandappan, V. Jaykumar,
and Leena Nitin Fukey. "A Study on “Student
Preference towards the Use of Edmodo as a
Learning Platform to Create Responsible
Learning Environment”", Procedia - Social and
Behavioral Sciences, 2014.
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Safrizal, Safrizal

Spits Warnars, Harco Leslie Hendric

Lumban Gaol, Ford

Abdurachman, Edi

180 
 
Use Case Point as software size measurement with 
study case of Academic Information System 
Safrizal12 
1Computer Science department, BINUS Graduate Program 
– Doctor of Computer Science 
Bina Nusantara University 
Jakarta, Indonesia 11480 
2Faculty of Technic, Satya Negara Indonesia University 
Jakarta, Indonesia 
Safrizal001@binus.ac.id  
Harco Leslie Hendric Spits Warnars1,  
Ford Lumban Gaol2, Edi Abdurachman3 
Computer Science Department, BINUS Graduate Program – 
Doctor of Computer Science 
Bina Nusantara University 
Jakarta, Indonesia 11480 
spits.hendric@binus.ac.id1 , fgaol@binus.edu2 , 
edia@binus.edu 3 
 
 
Abstract—Academic Information System at Satya Negara 
Indonesia university (USNI) was developed since 2008 and as 
major systems required for the processes of academic activities 
process, which support the teaching learning process activities. 
The Academic information system serving students carry out 
lectures and gain value in the form of cards in each semester of 
study results. In order to rebuilding this system the current 
system will be measured with Use Case Point (UCP) in order to 
help management when extend the current Academic 
Information System. UCP will help the management when 
making their decisions regarding with the development of system 
in term of time, people and money. Measurement software using 
the UCP in Academic Information Systems of Satya Negara 
Indonesia university has score Use Case Point (UCP) = 86.864 
and categorized as small software size project which is smaller 
than 99. 
Keywords—Software measurement; software size; Use case 
point; 
I.  INTRODUCTION  
Academic Information System is the application of web-
based academic information system that can be accessed by: 
Head of Department, students, faculty, staff and students via 
the internet. In the future, this web-based application will be 
equipped with intelligent application such as Data warehouse 
[3,4] and Data mining technologies such as Attribute Oriented 
Induction algorithm [5,6] or AOI-HEP algorithm with ability to 
find frequent and similar patterns [7,8,9]. Modules for this 
Academic Information System are available on the website of 
academic information system which consist of: 
x Information course schedule 
x Print schedule  
x Charging FRS Online 
x Charging KST 
x Charging Attendance  
x Charging value 
x Print Index Value 
x Print cumulative value / transcript Value 
 
Satya Negara Indonesia university (USNI), was born in 
1989, in Jakarta, Indonesia, and in order to support the process 
of academic activities. The Academic online system was built 
in 2008 with Personal Home Pages (PHP) programming 
language. Academic Information System in USNI or 
recognized in internal institution as SIAK (in Bahasa Sistem 
Informasi Akademik Kemahasiswaan) continue to be 
developed to date, with a concomitant increase in the number 
of students. SIAK built with the aim to support Satya Negara 
Indonesia university on Academic process in order to provide 
maximum service to students and facilitate the teaching 
learning process. Academic Information System has been 
largely owned by the University, College, Academy. In the 
implementation of the implementation of Academic 
Information Systems, many also do a combination of manual 
and not completely done online[2].  Serving students resolved 
case by case so that students can complete courses that can be 
taken and the thesis as a requirement for graduation[12,13]. 
The diversity of the student cases there is usually a student who 
did equalization are: students of the Diploma continue Ke S1, 
or transfer students from other campuses. For that, we need to 
know how to measure SIAK,  where the software can be 
measured by the length, functionality and complexity. SIAK 
will be measured in perspective functions just by using 
approaches such as Use Case Point (UCP)[10,11]. 
Use Case Points (UCP) is a software estimation techniques 
are used to estimate the size of the software in a software 
development project[15]. UCP is used based on the 
requirements of the system described in a use case, which is 
part of UML modeling techniques. Software size is calculated 
based on the elements - elements on use case taking into 
account technical and environmental considerations. For 
software projects, UCP can be used to calculate the estimated 
effort for a project. Model use case points (UCP) was first 
popularized by Gustav Karner in 1993 [1].  
Use cases are fundamentally a text form, although they can 
be written using flow charts, sequence charts, Petri nets, or 
programming languages [14].The purpose of this study was to 
measure the university SIAK Satya Negara Indonesia with Use 
Case Point, where results can be used by management to 
determine software size, complexity and level of effort for 
development. In this paper, we will calculate SIAK of Satya 
181 
 
Negara Indonesia university using the Use-Case Points. A 
description and explanation of the Use-Case Point will be 
presented in Section 2. Section 3 will be explained in detail that 
we use in the measurement SIAK Satya Negara Indonesia 
university. In section 4, we briefly describe the analysis of the 
calculation results. In this section, we will SIAK analysis of the 
size, complexity, and effort to develop SIAK USNI. Finally, in 
Section 5 we present the conclusions obtained from the 
analysis. 
II. THE THEORY ABOUT USE CASE POINT 
As shown in figure 1, there are 4 steps for running Use 
Case point (UCP) as software size measurement in term of 
measurement of internal attribute in functional perspective. 
This UCP will be assessed to use case diagram model design 
which will count the number of actor and use case in that use 
case diagram. Next, are the detail of the 4 steps:   
 
Fig. 1. Steps Method of Use Case Point (UCP) 
1. Calculate Unadjusted Use Case Point (UUCP) 
 Calculation of Unadjusted Use Case Point (UUCP) is 
the 1st step which will be done based on addition of 
Unadjusted Use Case Weights (UUCW) and Unadjusted 
Actor Weights (UAW), where each of UUCW score and 
UAW score will be counted. Equation (1) shows the 
process of addition UUCW and UAW.     
 UUCP=UUCW+ UAW   DE F  
1.1 Calculate Unadjusted Use Case Weights (UUCW) is 
to determine the category of use case is simple, 
medium or complex. (see table 1) 
TABLE I.  TYPE.WEIGHT AND DESCRIPTIUON OF USE CASE 
Type  
use case  
Weight 
Description Use case 
Simple 5 Using ≤ 3 transactions 
Average 10 Using 4 to 7 transactions 
Complex 15 Using > 7 transactions 
Thus, total unadjusted Use Case Weights 
(UUCW) is obtained from calculating how many 
(total) use case of each type (level of complexity) 
multiplied by the weight of each type. 
 
1.2 Calculate Unadjusted Actor Weights (UAW) The 
first step is to determine whether the actor category 
as simple, medium or complex. (Table 2) 
TABLE II.   TYPE, WEIGHT AND DESCRIPTION OF ACTOR 
Type 
Actor 
 
Weight 
   Description Actor 
Simple 1 Interacting through the API, such as 
Command Prompt 
Medium 2 Interacting via protocols, such as TCP / 
IP 
Complex 3 Interacting via GUI or Web Page 
 
Thus, total unadjusted Actor Weights (UAW) is 
obtained from calculating how many (total) actor of 
each type (level of complexity) multiplied by the 
weight of each type. 
2. Calculate Technical Complexity Factor (TCF) 
 The values on the Technical Complexity Factor is 
multiplied by the respective weights, then summed to 
obtain Total Technical Complexity Factor (TFactor), and 
then used to get the value of Technical Complexity 
Factor (TCF). Equation (2) shows the process for TCF 
calculation.  
 TCF = 0.6 + (0.01 * TFactor)  
3. Calculate Environmental Complexity Factor (ECF)  
 The values on the enviromental complexity factor 
multiplied by the respective weights, then summed to 
obtain the total Environmental Complexity Factor 
(EFactor), and then used to obtain the Environmental 
Complexity Factor (ECF). Equation (3) shows the 
process for ECF calculation.  
 ECF = 1.4 + (-0.03 * EFactor)  
4. Calculate Use Case Point ( UCP) 
 The values of UCP will be get from multiplication 
UUCW, TCF and ECF as shown in equation (4). 
 UCP=UUCP * TCF * ECF  
III. APPLYING OF USE CASE POINT ON ACADEMIC INFORMATION 
SYSTEM  (AIS) AT SATYA NEGARA INDONESI UNIVERSITY 
The Use Case Point (UCP) will be assessed to academic 
information system (AIS) at Satya Negara Indonesia university 
182 
 
where the business process is shown in use diagram shown in 
figure 1. The use case diagram in figure 1 has 4 actors and 8 
use cases.  
 
Fig. 2. Use case diagram Academic Information system at Satya Negara 
Indonesia university. 
 Next are the detail for each use case in use case diagram in 
figure 2: 
1. Information Course schedule. 
Chairman of the Department browse through online create 
a schedule that contains the course, lecturers, the number 
of credits, days, hours and Space. 
2. Print schedule. 
The schedule which had been created in previous use case 
process can be printed to be known by the high level 
management and for other purpose such as the students can 
see the schedule. 
3. Charging FRS Online. 
FRS online charging are where students taking courses in 
the next semester and as the semester plan which will 
become to known the number of students who take the 
course each and how many courses should be delivered. 
4. Charging KST. 
Charging is done via FRS Kst who have taken if the credits 
are taken less then performed additional credits and if the 
reduction of excess credits, based on the GPA obtained 
5. Charging Attendance By Lecturer 
Charging Attendance by students and is approved by the 
lecturers 
6. Charging Value 
Charging value by lecturers online with the validation from 
BAAk department or recognized as Academic and students 
administration department, via hardcopy printout given to 
the faculty and conducted by the lecturers concerned that it 
contains a value absent, tasks, midterm semester final 
exam semester 
7. Print index value. 
After filling lecturer value, that value is printed by BAAK 
department for each half. 
8. Print the cumulative value. 
Values are also printed by BAAK staff, ie if the 
cumulative value of the 3rd semester, printed semester 1,2, 
and 3 or temporary transkrips. 
 
 As mention in previous section where there are 4 steps in 
UCP process such as calculate UUCP (including UUCW and 
UAW), TCF, ECF and UCP scores. This UCP process will be 
applied in order to measure the software size of Academic 
Information System at Satya Negara Indonesia university as 
shown in use case diagram in figure 2. 
1. Calculate Unadjusted Use Case Point (UUCP) 
1.1. Calculate Unadjusted Use Case Weights (UUCW) 
In use case diagram in figure 2 there are 8 use cases 
as mention before as the detail for each use case 
activity. Table 3 shows that there are 4 use cases as 
simple use case, 3 use cases as average use case and 1 
use case as complex use case. All the use case 
category will be summed up and having UUCW 
score 65 as seen in table 3. 
TABLE III.  IDENTIFY  AND WEIGHT  CASE UUCW 
Use Case  Category  Weight 
Make a study schedule  Simple 5 
Print schedule Lecture  simple 5 
Charging FRS Online 
 
Average 10 
Charging KST 
 
Average 10 
Charging Attendance by Lecturer 
 
Simple 5 
Charging Value 
 
simple 5 
Print index value 
 
 Average 10 
Print the cumulative value Complex 15 
  Unadjested Use case Weight (UUCW) 65 
 
1.2. Calculate Unadjusted Actor Weights (UAW) 
As seen in figure 2, there are 5 Actors such as Head 
Of Program, Academic Supervisor, Lecturers, 
students and academic staff. All the actors are 
categorized as complex actor with score=3, since all 
183 
 
of them having GUI (Graphical User Interface) or 
website interaction. Table 4 shows the composition of 
these 5 actors which multiply with score 3 as complex 
actor score and UAW has score 15.    
TABLE IV.  IDENTIFY AND WEIGHT ACTOR  UAW 
Category Weight Actors count Weight Count 
Simple 1 -   
Average 2 -   
Complex 3 - 5 15 
Unadjested  Actor Weight (UAW) 15 
  
After having UUCW and UAW scores then equation (1) 
should be applied in order to have UUCP score by adding 
UUCW and UAW scores. UUCP = UUCW+UAW, UUCP 
= 65+15=80. Then UUCP has score 80. 
2. Calculate Technical Complexity Factor (TCF) 
After having UUCP score then TCF score will be collected 
by giving weight and value for 13 TCF as shown in table 5 
and as shown in table 5 then TFactor has score 29 as 
cumulative of multiplication of weight and value of 
thirteen TCF. TCF score will be calculated based on 
equation (2) where TCF= 0.6+(0.01*TFactor), TCF = 0.6 
+ (0.01*29), TCF = 0.6 + 0.29, TCF = 0.89. Then TCF has 
score 0.89.  
TABLE V.   CALCULATE  TECHNICAL COMPLEXITY FACTOR (TCF) 
No Technical Complexity 
Factor  
Weight  Value  Weight  
* Value 
1 Distribused System 2 0 0 
2 Response Time Is 
Important 
1 2 2 
3 End User Efficiency 1 4 4 
4 Complex Internal 
Processing Required 
1 1 1 
5 Reusable Code Must Be A 
Focus 
1 2 2 
6 Installation Easy 0.5 4 2 
7 Usability 0.5 4 2 
8 Cross-Platform Support 2 2 4 
9 Easy To Change 1 4 4 
10 Highly Concurrent 1 3 3 
11 Custom Security 1 3 2 
12 Dependence On Third-Part 
Code 
1 1 1 
13 Dependence On Third-Part 
Code 
1 2 2 
TFactor 29 
 
3. Calculate Environmental Complexity Factor (ECF)  
TABLE VI.  CALCULATE ENVIRONMENT COMPLEXITY FACTOR (ECF) 
NO Environmental Complexity 
Factor 
Weight Value Weight 
*Value 
1 Familiarity with the Project 1,5 2 3 
2 Application Experience 0.5 2 1 
3 OO Programming 
Experience 
1 2 2 
4 Lead Analyst Capability 0,5 2 1 
5 Motivation 1 3 3 
6 Stable Requirements 2 2 4 
7 Part Time Staff -1 4 -4 
8 Difficult Programming 
Language  
-1 4 -4 
EFactor 6 
After having TCF score then ECF score will be collected 
by giving weight and value for 8 ECF as shown in table 6 
and as shown in table 6 then EFactor has score 6 as 
cumulative of multiplication of weight and value of eight 
ECF. ECF score will be calculated based on equation (3) 
where ECF= 1.4+(-0.03*EFactor), ECF = 1.4 + (-0.03*6), 
ECF = 1.4 + (-0.18), ECF = 1.22. Then, ECF has score 
1.22.  
4. Calculate Use Case Point ( UCP) 
After having ECF score then the last step is finding UCP 
score by multiplication of UUCW, TCF and ECF as based 
on equation (4) where UCP = UUCP*TCF*ECF, UCP =  
80*0.89*1.22 = 86.864. Then, UCP has score 86.864. 
 
IV. CONCLUSION 
The measurement of software size in Academic 
Information System at Satya Negara Indonesia university has 
score 86.864 and recognized as small project where having 
UCP less than 99. By the way, the UCP size of project software 
development is categorized become four categories and they 
are small project with less than 99 UCP, medium project with 
UCP between 100 and 299, large project with UCP between 
300 and 799 and extreme project with more than 799 UCP. 
The measurement of software size with UCP which deploy 
to use case diagram is one of software size measurement into 
internal attribute and specific in term of the functionality of 
software. Using UCP to measure the software size will help the 
management how to deal with the software development 
project where the management can predict the allocation 
people, time and money based on use case diagram as design 
model system.     
REFERENCES 
[1] G.Karner,Resource Estimation for Objectory Projects. Objective System 
SF AB, 1993. 
[2] R.K. Clemmons, Project Estimation With Use Case Point. Diversified 
Technical Services, Inc., 2006.  
[3] H.L.H.S Warnars, R. Randriatoamanana (2016), “Datawarehouser: A 
Data Warehouse artist who have ability to understand data warehouse 
schema pictures”, IEEE TENCON 2016 (Technologies for Smart 
Nation), pp. 2207-2210, 22-25 Nov 2016, Singapore. 
http://site.tencon2016.focalevents.sg/  
[4] H.L.H.S Warnars, (2014), “Perbandingan penggunaan Database OLTP 
(Online Transactional Processing) dan Data Warehouse”, Creative 
Communication and Innovative Technology (CCIT) journal, Vol. 8 No. 
1, pp. 83-100, September 2014.  ISSN: 1978-8282.  
[5] H.L.H.S Warnars (2015), “Mining Patterns with Attribute Oriented 
Induction”, The International Conference on Database, Data Warehouse, 
Data Mining and Big Data (DDDMBD2015), Tangerang, Indonesia, pp. 
11-21, 10-12 September 2015. 
[6] H.L.H.S Warnars, M I Wijaya, H B Tjung, D F Xaverius, D V Hauten, 
Sasmoko (2016), “Easy understanding of Attribute Oriented Induction 
(AOI) characteristic rule algorithm”, International journal of Applied 
Engineering Research (IJAER), vol. 11, No. 8, pp. 5369-5375. ISSN-
0973-4562. Source: 
http://www.ripublication.com/ijaer16/ijaerv11n8_03.pdf  
184 
 
[7] H.L.H.S Warnars (2016), “Using Attribute Oriented Induction High 
level Emerging Pattern (AOI-HEP) to mine frequent patterns”, 
International Journal of Electrical and Computer Engineering (IJECE), 
vol. 6, No.6 
http://www.iaesjournal.com/online/index.php/IJECE/article/view/10579  
[8] H.L.H.S Warnars, (2014), “Mining Frequent and Similar Patterns with 
Attribute Oriented Induction High Level Emerging Pattern (AOI-HEP) 
Data Mining Technique”, International Journal of Emerging 
Technologies in Computational and Applied Sciences (IJETCAS), vol. 
3, Issue 11, pp.266-276. EISSN : 2279-0047, ISSN: 2279-0055. Source : 
http://iasir.net/IJETCASpapers/IJETCAS15-247.pdf  
[9] H.L.H.S Warnars (2014),”Mining Frequent Pattern with Attribute 
Oriented Induction High level Emerging Pattern (AOI-HEP)”, IEEE the 
2nd International Conference on Information and Communication 
Technology (IEEE ICoICT 2014), Bandung, Indonesia, pp. 144-149, 28-
30 May 2014. 
[10] K. Iskandar, F.L. Gaol, B. Soewito, H.L.H.S. Warnars (2016), “Software 
size measurement of knowledge management portal with use case 
point”, The international conference on Computer, Control, Informatics, 
and its Applications (IC3INA 2016), 3-5 Oct 2016, Tangerang, 
Indonesia. http://situs.opi.lipi.go.id/ic3ina2016/  
[11] M. Ochodek, J. Nawrocki, K. Kwarciak, Simplifying effort estimation 
based on Use Case Points, ul. Piotrowo 2, 60-965 Poznan´, Poland 
[12] A.P. Subriadi, Sholiq, P.A. Ningrum “ Critical Review Of The Effort 
Rate Value In Use Case Point Method For Estimating Software 
Development Effort” Journal of Theoretical and Applied Information 
Technology 31st January 2014. Vol. 59 No.3 
[13] B. Anda , H. Dreiem, D. I.K. Sjøberg and M. Jørgensen, Estimating 
Software Development Effort based on Use Cases – Experiences from 
Industry  
[14] A. Cockburn, Writing Effective Use Cases. Addison-Wesley. 2000. 
[15] M.S. Iraji, H. Motameni, “ Object Oriented Software Effort Estimate 
with Adaptive Neuro Fuzzy use Case Size Point (ANFUSP)” I.J. 
Intelligent Systems and Applications, 2012, 6, 14-24 Published Online 
June 2012 in MECS (http://www.mecs-press.org/) 
 
  
 
 


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