icacsis 2015 - Universitas Indonesia

ADVANCED PROGRAM
ICACSIS 2015
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ADVANCED PROGRAM
ICACSIS 2015
CONFERENCE INFORMATION
Dates
October 10th (Saturday) – October 11th (Sunday) 2015
Organizer
Faculty of Computer Science, Universitas Indonesia
Venue
Center for Japanese Studies, Universitas Indonesia
Kampus UI Depok, 16424
Indonesia
Phone
: +62-21-7863547
Fax
: +62-21-7863548
Official Language
English
Secretariat
Faculty of Computer Science, Universitas Indonesia
Kampus UI Depok
Depok, 16424
Indonesia
T: +62 21786 3419 ext. 3225
F: +62 21 786 3415
E: [email protected]
W: http://www.cs.ui.ac.id
Conference Website
http://icacsis.cs.ui.ac.id
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COMMITTEES
Honorary Chairs:
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A. Jain, IEEE Fellow, Michigan State University, US
T. Fukuda, IEEE Fellow, Nagoya University, JP
M. Anis, Universitas Indonesia, ID
M. Adriani, Universitas Indonesia, ID
General Chairs:
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H. Suhartanto, Universitas Indonesia, ID
Z. A. Hasibuan, Universitas Indonesia, ID
S. Kuswadi, Electronic Engineering Polytechnic Institute of Surabaya / Soft Computing, ID
Program Chairs:
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H. B. Santoso, Universitas Indonesia, ID
W. Jatmiko, Universitas Indonesia, ID
A. Buono, Institut Pertanian Bogor, ID
D. E. Herwindiati, Universitas Tarumanegara, ID
A. S. Nugroho, Agency for the Assessment & Application of Technology / Soft Computing, ID
Section Chairs:
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K. Wastuwibowo, IEEE Indonesia Section, ID
Program Committees:
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A. Kristijantoro, Institut Teknologi Bandung, ID
A. N. Hidyanto, Universitas Indonesia, ID
A. Azurat, Universitas Indonesia, ID
A. A Krisnadhi, Universitas Indonesia, ID
A. Buono, Institut Pertanian Bogor, ID
A. Z. Arifin, Institut Teknologi Sepuluh Nopember, ID
A. Murni, Universitas Indonesia, ID
A. Purwarianti, Institut Teknologi Bandung, ID
A. Saptawijaya, Universitas Indonesia, ID
B. Anggorojati, Universitas Indonesia, ID
B. H. Widjaja, Universitas Indonesia, ID
B. Hardian, Universitas Indonesia, ID
B. Purwandari, Universitas Indonesia, ID
B. Yuwono, Universitas Indonesia, ID
Denny, Universitas Indonesia, ID
D. I. Sensuse, Universitas Indonesia, ID
E. K. Budiarjo, Universitas Indonesia, ID
E. Gaura, Coventry University, UK
E. Seo, Sungkyunkwan University, KR
H. Ramli, Universitas Indonesia, ID
H. Suhartanto, Universitas Indonesia, ID
H. Sukoco, Institut Pertanian Bogor, ID
H. M. Manurung, Universitas Indonesia, ID
I. Sitanggang, Institut Pertanian Bogor, ID
I. Budi, Universitas Indonesia, ID
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ICACSIS 2015
I. Wasito, Universitas Indonesia, ID
K. Phusavat, Kasetsart University, TH
L. Y. Stefanus, Universitas Indonesia, ID
M. I. Fanany, Universitas Indonesia, ID
M. Kyas, Reykjavik University, IS
Marimin, Institut Pertanian Bogor, ID
M. Nakajima, Nagoya University, JP
M. Adriani, Universitas Indonesia, ID
P. Hitzler, Wright State Unversity, US
P. Mursanto, Universitas Indonesia, ID
R. M. Salleh, Universiti Tun Hussein Onn Malaysia, MY
S. Yazid, Universitas Indonesia, ID
S. Nomura, Nagaoka University of Technology, JP
S. Kuswadi, Politeknik Elektronika Negeri Surabaya, ID
S. Bressan, National University of Singapore, SG
S. Sharif, Universiti Utara Malaysia, MY
T. Gunawan, International Islamic University Malaysia, MY
T. Hardjono, Massachusetts Institute of Technology, US
W. C. Wibowo, Universitas Indonesia, ID
W. S. Nugroho, Universitas Indonesia, ID
W. Jatmiko, Universitas Indonesia, ID
X. Li, The University of Queensland, AU
Y. G. Sucahyo, Universitas Indonesia, ID
Y. K. Isal, Universitas Indonesia, ID
Local Organizing Committee:
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Aprinaldi, Universitas Indonesia, ID
A. Wibisono, Universitas Indonesia, ID
D. Marhaendro, Universitas Indonesia, ID
H. A. Wisesa, Universitas Indonesia, ID
H. R. Sanabila, Universitas Indonesia, ID
M. A. Ma’sum, Universitas Indonesia, ID
M. Roby, Universitas Indonesia, ID
M. Soleh, Universitas Indonesia, ID
S. C. Purbarani, Universitas Indonesia, ID
Q. Ayunina, Universitas Indonesia, ID
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ICACSIS 2015
VENUE MAP
Pusat Studi Jepang Universitas Indonesia
Kampus Baru UI Depok
Pondok Cina, Beji, Depok 16424
Indonesia
ICACSIS
Venue
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ADVANCED PROGRAM
ICACSIS 2015
Venue Map
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ICACSIS 2015
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ICACSIS 2015
REGISTRATION
Registration Fee
Accepted Paper
USD 300 (International)
IDR 3.000.000 (Domestic)
Additional Page
USD 10 (per page)
Participant
USD 150 (International)
IDR 750.000 (Domestic)
Payment Method
All payment for the administration fee and additional events should be transferred to the bank account
below:
Recipient Bank
:BNI
Account Name
:UNIVERSITAS-INDONESIA-Fasilkom Non BP
Account Number
:127 3000 444
Swift Code
:BNI NIDJA 127 3000 444
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ICACSIS 2015
PROGRAM SCHEDULE
Saturday, October 10th, 2015-CONFERENCE
Time
Event
Event Details
08.00-09.00
Registration
09.00-09.05
09.05-09.10
Opening Ceremony
09.10-09.15
09.15-10.00
Plenary Speech I
Opening speech from the General
Chair of ICACSIS 2015, Prof. Heru
Suhartanto, Ph.D.
Opening speech from the Dean of
Faculty of Computer Science
Universitas Indonesia (Mirna Adriani,
Ph.D)
Auditorium, Pusat
Opening Speech from the Vice Rector
Studi Jepang,
Universitas Indonesia (Prof Dr.rer.nat
Universitas Indonesia
Rosari Saleh)
Prof. Kevin Burrage from University of
Oxford
Ceremonial gift, from the Dean of
Faculty of Computer Science
Universitas Indonesia to Prof. Kevin
Burrage
10.00-10.05
ICACSIS Photo Session
10.05-10.15
10.15-10.30
10.30-12.00
Coffee Break
Parallel Session I :
Three Parallel
Sessions
12.00-13.15
Prof. Maman Abdurrahman from
Universiti Putra Malaysia, MY
13.15-14.45
Parallel Session II:
Three Parallel
Sessions
Lunch
Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.
from Faculty of Computer Science,
Universitas Indonesia, ID
14.45-15.30
Plenary Speech II
Prof. Jose A.B. Fortes, Ph.D,
University of Florida, USA
15.30-16.00
16.00-17.30
Rooms
R.206, R.106,
Auditorium.
R.206, R.106,
Auditorium.
Auditorium, Pusat
Studi Jepang,
Universitas Indonesia
Coffee Break
Parallel Session III :
Three Parallel
Sessions
Jan Pidanic, Ph.D, University of
Pardubice, CZ
R.206, R.106,
Auditorium.
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ICACSIS 2015
Sunday, October 11th, 2015-CONFERENCE
Time
Event
Event Details
08.00-09.00
Registration
Parallel Session IV :
Budhitama Subagdja, Ph.D, Nanyang
09.00-10.30
Three Parallel
Technological University, SG
Sessions
10.30-10.45
Coffee Break
Prof. Subhas Mukhopadhyay from
10.45-11.30
Plenary Speech III
Massey University, NZ
11.30-13.00
13.00-14.30
Parallel Session V :
Three Parallel
Sessions
Auditorium, Pusat
Studi Jepang,
Universitas Indonesia
Radu Muschevici, Ph.D from
Technische Universitat Darmstadt, DE
R.206, R.106,
Auditorium.
Coffee Break
Closing Ceremony
(Awards
Announcement and
Photo Session)
15.45-17.00
17.00-19.00
R.206, R.106,
Auditorium.
Lunch
14.30-15.15
15.15-15.45
Rooms
Awards Announcement from the
Program Chair of ICACSIS 2015, Dr.
Eng. Wisnu Jatmiko, S.T., M.Kom.
Auditorium, Pusat
Studi Jepang,
Universitas Indonesia
Break
Dinner
Farewell Dinner for Participants
Mang Engking
Restaurants
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KEYNOTE SPEAKERS
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Kevin Burrage, University of Oxford, UK
Subhas Mukhopadhyay, Massey University, NZ
José A.B. Fortes, University of Florida, US
INVITED SPEAKERS
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Radu Mushevici, Technische Universität Darmstadt, DE
Maman Abdurachman Djauhari, Universiti Putra Malaysia, MY
Jan Pidanic, University of Pardubice, CZ
Budhitama Subagdja, Nanyang Technological University, SG
Wisnu Jatmiko, Universitas Indonesia, ID
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“Keynote Speaker”
Multi Scale Computing for Studying the Electrophysiology of the Human Heart
Kevin Burrage
Computational Systems Biology, University of Oxford
Abstract
In this talk I give a brief overview of cell models for cardiac electrophysiology starting with the Hodgkin Huxley
equations. I discuss the nature of ion channels and how they can be modeled and how these models can be
incorporated into cell models of the heart. I discuss both deterministic and stochastic cell models and derive new
methods for their simulation. Finally I discuss how these models can be incorporated into whole organ models of
human cardiac electrophysiology and how they can be validated against a variety of experimental and clinical data.
No knowledge of physiology is needed.
Profile
Prof Kevin Burrage joined Oxford University in early 2008 and now Professor of Computational
Systems Biology at the Department of Computer Science, University of Oxford and the Oxford
Centre for Integrative Systems Biology. Prof Kevin Burrage is a member of the Computational
Cardiac Modelling and Simulation group within Computer Science. Prof Kevin Burrage share
his time, half and half, between Oxford and the Mathematics Department at the Queensland
University of Technology (QUT http://www.qut.edu.au), Brisbane, Australia, where Prof Kevin
Burrage earned as Professor of Computational Mathematics. Prof Kevin Burrage is also a
theme leader in the new Institute for Future Environments at QUT
http://www.qut.edu.au/institute-for-future-environments. Prof Kevin Burrage was a supernumerary fellow of New
College at Oxford University between 2008 and 2012. Before coming to Oxford, Prof Kevin Burrage was a Federation
Fellow of the Australian Research Council (2003-2008) at the University of Queensland.
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“Keynote Speaker”
Smart Homes: Design Issues; IoT and Cloud Computing Perspective
Subhas Chandra Mukhopadhyay
School of Engineering and Advanced Technology, Massey University
Abstract
The term Internet of Things (IoT) or Internet Sensing) is used to describe embedded sensing devices with Internet
connectivity, allowing them to interact with each other, services, and people on a global scale. This level
of connectivity can increase reliability, sustainability, and efficiency by improved access to information which can be
achieved with effective use of Cloud Computing. Environmental monitoring, home and building automation, and
smart grids could be interconnected, allowing information to be shared between systems. One day, internet will
connect everyone to everything of everywhere at every time and will be the backbone of business operations, but
there is still a long way to go. The plenary talk will provide an overview of Smart Homes which is drawing more and
more attention in recent times to provide a safe, sound and secured environment to inhabitant. The design issues
along with uses of IoT and Cloud computing will be presented to achieve an ideal smart home for everyone in near
future.
Profile
Subhas holds a B.E.E. (gold medallist), M.E.E., Ph.D. (India) and Doctor of Engineering (Japan).
He has over 25 years of teaching, industrial and research experience. Currently he is working
as a Professor of Sensing Technology, Massey University, New Zealand. His fields of interest
include Smart Sensors and sensing technology, instrumentation techniques, wireless sensors
and network, numerical field calculation, electromagnetics etc. He has published over 300
papers in different international journals and conference proceedings, written four books and
thirty book chapters and edited twelve conference proceedings. He has also edited twenty
books with Springer-Verlag and Twelve journal special issues. He has organized over 20
international conferences as either General Chairs/co-chairs or Technical Programme Chair. He has delivered 236
presentations including keynote, invited, tutorial and special lectures. He is a Fellow of IEEE (USA), a Fellow of IET
(UK), a Fellow of IETE (India), a Topical Editor of IEEE Sensors journal, an associate editor of IEEE Transactions on
Instrumentation and Measurements, and a Technical Editor of IEEE Transactions on Mechatronics. He was a
Distinguished Lecturer of the IEEE Sensors Council from 2010 to 2013. He chairs the IEEE IMS Technical Committee
18 on Environmental Measurements.
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“Keynote Speaker”
Software-defined IT Systems
José A.B. Fortes
Distributed Computing, Autonomic Computing, Computer Acrhitecture, Parallel Processing, and Fault-tolerant
Computing, University of Florida
Abstract
“Software-definition” is an emerging transformative aspect of IT. It has had a major impact on networking, where
major equipment manufacturers already provide products (e.g. routers, switches and controllers) that support
software-defined networking. However, even in the context of networking, software-definition is at its infancy, with
much research and development being necessary to understand the new capabilities, challenges and applications
that it enables in IT systems. In the future we will see a generalization of software-definition to all components of IT
infrastructures, software systems and CI applications. Datacenters are already adopting management techniques
using software-defined compute, storage and networking – leading to software-defined datacenters. More
importantly, software-definition is becoming a new dimension of systems design entailing (1) a refactoring of
systems that leads to separation of their data and control planes (or, somewhat equivalently, their functional and
management aspects), and (2) the exposure of control or management capabilities to users/consumers of the
systems. Software-definition introduces major opportunities for research in computer science and engineering, with
potential for long-lasting broad impact. This talk will review and exemplify the motivation and nature of softwaredefined IT systems, and introduce some of the opportunities, challenges and approaches in the design and
management of such systems.
Profile
José A.B. Fortes is the AT&T Eminent Scholar and Professor of Electrical and Computer
Engineering and Computer Science at the University of Florida where he founded and is the
Director of the Advanced Computing and Information Systems Laboratory. He received the
B.S. degree in Electrical Engineering (Licenciatura em Engenharia Electrotécnica) from the
Universidade de Angola in 1978, the M.S. degree in Electrical Engineering from the Colorado
State University, Fort Collins in 1981 and the Ph.D. degree in Electrical Engineering from the
University of Southern California, Los Angeles in 1984. From 1984 until 2001 he was on the
faculty of the School of Electrical Engineering of Purdue University at West Lafayette, Indiana.
In 2001 he joined both the Department of Electrical and Computer Engineering and the Department of Computer
and Information Science and Engineering of the University of Florida as Professor and BellSouth Eminent Scholar.
From July 1989 through July 1990 he served at the National Science Foundation as director of the Microelectronics
Systems Architecture program. From June 1993 till January 1994 he was a Visiting Professor at the Computer
Architecture Department of the Universitat Politecnica de Catalunya in Barcelona, Spain. His research interests are
in the areas of distributed computing, autonomic computing, computer architecture, parallel processing and faulttolerant computing. He has authored or coauthored over 200 technical papers and has lead the development and
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deployment of Cloud and Grid-computing software used in several cyberinfrastructures for e-Science and digital
government. His research has been funded by the Office of Naval Research, AT&T Foundation, IBM, General Electric,
Intel, Northrop-Grumman, Army Research Office, NASA, Semiconductor Research Corporation and the National
Science Foundation. José Fortes is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) professional
society and a Fellow of the American Association for the Advancement of Science (AAAS). He was a Distinguished
Visitor of the IEEE Computer Society from 1991 till 1995. José Fortes is on the Editorial Boards of the IEEE
Transactions on Cloud Computing, the IEEE Transactions on Services Computing, and the International Journal on
Parallel Programming. He is also a past member of the Editorial Boards of IEEE Transactions on Parallel and
Distributed Systems, the ACM Journal on Emerging Technologies in Computing Systems, Cluster Computing: The
Journal of Networks, Software Tools and Applications, the Journal of VLSI Signal Processing, and the Journal of
Parallel and Distributed Computing.
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Auto-adaptive Software Product Lines using the ABS Language
Radu Muschevici
Post-doctoral Researcher in the Software Engineering Group, Technische Universität Darmstadt
Abstract
Modern software systems must support a high degree of variability to adapt to a wide range of requirements and
operating conditions. While static adaptation based on software product lines is becoming more common, dynamic
adaptation is less well-explored. However, runtime adaptation has a host of advantages ranging from downtime
avoidance to performance improvements. Auto-adaptation is a particularly promising form of runtime adaptation
that enables a running program to adapt autonomously, in swift response to changing conditions in the running
environment. This paper focuses on the design of a programming language facility to support the runtime
autoconfiguration of dynamic software product lines (DSPL). We implement this facility for the Abstract Behavioural
Specification (ABS) language by introducing a dynamic, reflection-based metaprogramming facility for ABS, called
MetaABS and a runtime environment that readily supports dynamically auto-adapting systems written in MetaABS.
Profile
Radu Muschevici, Ph.D is a post-doctoral research in the software engineering group,
Technische Universität Darmstadt. His research interests are programming language,
compiler, and program specification and analsis. Radu received his PhD degree from KU
Leuven Belguim. His PhD thesis discussed the design and implementation of the ABS
(Abstract Behavioural Specification). His thesis also discussed a compiler that supports
software modelling statistically or while the program is running. Before receiving his PhD
degree, Radu received his MSc degree from the Victoria University of Wellington and BSc
degree from the Hoshchule Munchen, Germany. He have also worked in the industry for several years.
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Dynamics of NYSE Correlation Structure during Global Crisis in 2008:
Evidence from Complex Network Analysis
Maman Abdurachman Djauhari
Institute for Mathematical Research, Universiti Putra Malaysia
Abstract
Stocks market is a complex system. To understand its behavior, random matrix theory and/or graph theory are/is
usually used. In this paper, the latter is used to analyze the dynamics of correlations network at New York Stock
Exchange (NYSE) during global crisis. For that purpose, first, we test the stability of correlation structure along
predetermined non-overlapping time windows. Second, complex network representation is provided to study the
dynamics of correlation structure from time window to time window, and the evolution of minimal spanning tree
(MST)-based network topology is studied. Some changes of topological properties will be highlighted to demonstrate
the advantages of complex network approach.
Profile
Prof. DR. Maman Abdurachman Djauhari recieved his masters and doctoral degree in
statistics from the Universite de Montpellier 2 in 1977 and 1979 respectively. He received his
Professor degree from several different universities, which includes Institute Teknologi
Bandung, Universiti Malaysia Perlis, Universiti Teknologi Malaysia, and Universiti Putra
Malaysia. Prof. Maman has received numerous awards and achievements internationally.
The awards and achievements that he have received includes: World Bank data quality
consultant in 2009, highest rank of professorship in Indonesia in 2000, Gold Medal Award for
outstanding contribution in statistics from the ISOSS(Islamic Countries of Statistical Sciences)
in 2005, Excellent Service Award Faculty of Science from Universiti Teknologi Malaysia in 2013, Best Lecturer
Award from Departemen Matematika ITB in 2000. Chairman Council of Professors ITB from 2007 until 2008, and the
Dean of Natural Sciences Faculty ITB from 1997 until 2000. Professor Maman has also worked together with the
industry. The industry that he has worked with includes the military, aerospace industry, pharmacy, garment, train
systems, automotive, chocolate powder, and also medical. Professor Maman have a wide experience in doing
research internationally. In the last 5 years, he had received MYR 362.000 in research funds. His research interests
includes: Complex System, Financial Industry, Networks Analysis, Statistical Process Control in Manufacturing and
Service Industries.
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Advanced targets association based on GPU computation of PHD function
Jan Pidanic+, Tomas Shejbal+, Zdenek Nemec+, Heru Suhartanto*
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Faculty of Electrical Engineering and Informatics, University of Pardubice
*Faculty of Computer Science, Universitas Indonesia, Indonesia
Abstract
The precise and quick association of targets is one of the main challenging tasks in the signal processing field of the
Multistatic Radar System (MRS). The paper deals with target association techniques based on the computation of
the Probability Hypothetic Density (PHD) Function. The Computation time makes solving the PHD a very demanding
task. The speedup of a newly developed algorithm depends on vectorization and parallel processing techniques. This
paper describes the comparison between the original and parallel version of the target association algorithm with
the full set of input data (without any knowledge about the approximation of targets direction) and the comparison
with the advanced target association algorithm using additional input information about the direction of the target.
All algorithms are processed in the MATLAB environment and Microsoft Visual Studio - C. The comparison also
includes Central Processor Unit (CPU) and Graphics Processor Unit (GPU) version of all algorithms.
Profile
Ing. Jan Pidanic, Ph.D received his Ing degree from the University of Perdubice in the field of
electrical transport infrastructure. In 2005, he received his PhD from the same institution. In
2007, Jan Pidanic is an assistant in the Faculty of Electrical Engineering and Informatics. His
Specialization includes: digital processing systems, radar systems, passive coherent location,
and ultra wide broadband.
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Agent-Based Modelling for Developing Pervasive Persuasive Systemss
Budhitama Subagdja
Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological
University
Abstract
Building a cyber-physical system consisting of many reactive elements that continually interact with each other may
require considerable efforts to ensure that it behaves as desired. The scale of the issues to tackle is much expanded
when it comprises human-factors to analyze and change (e.g persuasion).In this paper, a development methodology
is proposed for building the kind of system that developer interacts and communicates directly with the components
in the domain. The developer interacts with them in simulated or runtime context in order to instruct and shape the
whole system. As a technique of Agent-Based Modeling, the entire system is considered to consist of interacting
(semi-) autonomous agents that can reason, adapt, and learn at runtime. This approach of development requires a
particular agent architecture that can reason and learn about human activity and social conditions comprising
spatial, temporal, and hierarchical structure of information. In this paper, the teachable approach is exemplified
using a simulated persuasive multi-agent system for elderly care in ageing-in-place domain.
Profile
Budhitama Subagdja received a Ph.D. in Information Systems from the Department of
Information Systems, the University of Melbourne, Australia, a Master and a Bachelor in
Computer Science from the Faculty of Computer Science, University of Indonesia. He is
currently a Research Fellow in Joint NTU-UBC Research Centre of Excellence in Active Living
for the Elderly (LILY), Nanyang Technological University (NTU), Singapore. Before he joined
NTU, he worked as a research assistant and a lecturer in the University of Indonesia. He was
also a Postdoctoral Fellow at the University of Melbourne after finishing his PhD. He was also
a Research Fellow in Intelligent Systems Centre and School of Computer Engineering, NTU
before joining LILY Centre. His current research interests include planning, reasoning, and learning mechanisms in
autonomous agents, multi-agent systems, and biologically-inspired cognitive architecture for intelligent agents.
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Developing Smart Telehealth System in Indonesia : Progress and Challenge
Wisnu Jatmiko
Faculty of Computer Science, Universitas Indonesia
Abstract
Indonesia have a high mortality rate caused by heart and cardio vascular diseases. One of the major factor that
caused this issue is the lack of medical checkup especially for heart monitoring. It is caused by the limited number
of medical instrumentation e.g. ECG in hospitals and public health centers. Another factor is the small number of
cardiologist in Indonesia. There are only 365 cardiologists across the country, which is a very small number compared
to the 250 million of Indonesia population. Furthermore, they are not distributed evenly in all provinces, but
centered in Jakarta and other major cities. Meanwhile, Indonesia also has similar problem in health area. High
number of fetal and mother mortality becomes a serious problem. One of the major factor is the lack of fetal growth
monitoring. It is caused by the limited number of USG device and Obstetricians in Indonesia. Therefore, fetal growth
monitoring is difficult. Based on these facts, we have developed a smart telehealth system In Indonesia. The
development is focused on Tele-ECG and tele-USG System. Tele-ECG system have been built for heart diseases early
detection and monitoring system, whereas Tele-USG system have been developed for fetal growth monitoring. The
Tele-ECG system has three main components: an ECG sensor, a smartphone, and server. ECG sensor is used to
acquire heartbeat signal from patient. After being recorded, the signal will be processed. There are baseline
wandring removal (BWR), beat segmentation, and wavelet for dimensionality reduction. Afterwards, the signal can
be classified to predict the patient's condition automatically, whether it is normal or has heart diseases symptoms.
We have been developing classifier algorithm named AMGLVQ to classify hwRT heart beat signal. The performance
of the algorithm is above 95%. Next, the signal is sent to server to be verified by cardiologists. To provide fast
transmission, we first compressed the signal. For compression, we used 2D SPIHT compression. The error of the
compression is relatively low, which is 3,46% for 24 compression ratio. Tele-USG System has 2 main components,
they are the smartphone and server. In Tele-USG system, we have not developed hardware yet, due to the
complexity of the USG sensor. In this system we used ultrasound image captured from conventional USG devices.
Software installed in the patient's smartphone is used to monitor fetal growth. The software is equipped with
automatic fetal biometrics measurements. The software can compute HC, BPD, AC, FL, and HL from head, abdomen,
femur and humerus organs. For this automated computation we have been developing Hough Transform based
curve approcimation. Fetal head and abdomen can be approximated by ellipse curve, whereas fetal femur and
humerus was approximated by line curve. The approximation algorithm has less than 10% error. Regarding the
progress of the development, there are several enhancements needed. For Tele-ECG systems, It is important to make
ECG sensor in small (pocket) size. Therefore, the device can be used mobily by user (patient). For Tele-USG system,
we will develop portable ultrasound (USG) device. Therefore, the system can measure fetal biometrics data from
real time data. Besides, the patients can capture ultrasound image frequently. It will help them to monitor their fetal
growth.
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Profile
Born in Surabaya, Indonesia, December, 1973. Received B.Eng. degree from Electrical
Engineering in 1997, M.Sc. degree from Computer Science in 2000, both from the University
of Indonesia, Indonesia, and Dr. Eng. degree from Micro-Nano Systems Engineering, Nagoya
University, Japan, in 2007, respectively. Currently, he works at Faculty of Computer Science,
University of Indonesia, Indonesia as a lecturer. He is regarded as a highly productive
researcher and has more than 100 international publications that are mostly indexed in
Scopus and Google Scholar. In addition, he has already published 6 books and produced 4
copyrights of computer software from his research products.
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TECHNICAL PROGRAM ICACSIS 2015
Opening Ceremony
Venue: Auditorium, 1st Floor
Oct 10 (Sat)
09.00-09.30
Master of Ceremony: Prof. Heru Suhartanto
Plenary Speech I
Oct 10 (Sat)
Venue: Auditorium, 1st Floor
09.30-10.15
Topic
: Multi Scale Computing for Studying the Electrophysiology of the Human Heart
Plenary Speech by Prof. Kevin Burrage
Computational Systems Biology, University of Oxford
Moderator
: Prof. Heru Suhartanto, Ph.D
Parallel Session I
Invited Speech
Venue: Auditorium, 1st Floor
Oct 10 (Sat)
10.30-12.00
Moderator
: Prof. Dyah Erny H
Dynamics of NYSE Correlation Structure during Global Crisis in 2008: Evidence from Complex Network
Analysis
Prof. Maman Abdurachman Djauhari, Ph.D.
Parallel Sessions I
Information Retrieval
Venue: Seminar Room, 1st Floor
Oct 10 (Sat)
10.30-12.00
(119) Spark-Gram: Mining Frequent N-gram Using Parallel Processing in Spark
Prasetya Ajie Utama, Bayu Distiawan
(129) A Two-Stage Emotion Detection on Indonesian Tweets
Johanes Effendi The, Alfan Farizki Wicaksono, Mirna Adriani
(139) Stock Price Prediction using Linear Regression based on Sentiment Analysis
Yahya Eru Cakra, Bayu Distiawan Trisedya
(148) Indonesian-Japanese Term Extraction from Bilingual Corpora Using Machine Learning
Ayu Purwarianti
(162) A Simple Approach of Clause Extraction for Open Information Extraction
Ade Romadhony, Dwi H. Widyantoro, Ayu Purwarianti
22
ADVANCED PROGRAM
ICACSIS 2015
Parallel Sessions I
Pattern Recognition, Image Processing & Content-Based Image Retrieval
Venue: Sidang Room, 2nd Floor
Oct 10 (Sat)
10.30-12.00
(091) Road Detection System based on RGB Histogram Filterization and Boundary Classifier
M.D. Enjat Munajat, Dwi H. Widyantoro, Rinaldi Munir
(099) A Monsoon Onset and Offset Prediction Model Using Backpropagation and Moron Method A case
in Drought Region
Syeiva Nurul Desylvia, Taufik Djatna, Agus Buono
(133) A Classification System for Jamu Efficacy Based on Formula Using Support Vector Machine and KMeans Algorithm as a Feature Selection
Melyinda Nur Puspita, Wisnu Ananta Kusuma, Aziz Kustiyo, Rudi Heryanto
(135) Clustering Protein-Protein Interaction Network of TP53 Tumor Suppressor Protein using Markov
Clustering Algorithm
Thia Sabel Permata, Alhadi Bustamam
(186) Generic Algorithm Optimization for Extreme Learning Machine based Microalgal Growth
Forecasting of Chlamydomonas sp.
D. M. J. Purnomo, S. C. Purbarani, A. Wibisono, D. Hendrayanti, A. Bowolaksono, P. Mursanto, D.
H. Ramdhan, W. Jatmiko
Parallel Sessions II
Invited Speech
Venue: Auditorium, 1st Floor
Oct 10 (Sat)
13.15-14.45
Moderator
: Bayu Anggorojati, Ph.D.
Developing Smart Telehealth System in Indonesia : Progress and Challenge
Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.
Parallel Sessions II
Pattern Recognition, Image Processing & Content-Based Image Retrieval
Venue: Seminar Room, 1st Floor
Oct 10 (Sat)
13.15-14.45
(132) Mangifera indica Real-Time Quality Classifications Using Codebook Segmentation and Mass-Size
Correlation Equations
Timotius Devin, Muhammad Ashyar Agmalaro
(155) Online Marginalized Linear Stacked Denoising Autoencoders for Streaming Big Data
Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
(185) An Adaptive Selective Background Learning-Hole Filling Algorithm to Improve Vehicle Detection
Machmud R Alhamidi, Qurrotin Ayunina, Ari Wibisono, Petrus Mursanto, and Wisnu Jatmiko
23
ADVANCED PROGRAM
ICACSIS 2015
(190) Evolutionary-based Segment Selection for Higher-order Conditional Random Fields in Semantic
Image Segmentation
Novian Habibie, Vektor Dewanto, Jogie Chandra, Fariz Ikhwantri, Harry Budi Santoso, Wisnu
Jatmiko
(217) ECG Signal Compression by Using Predictive Coding And Set Partitioning in Hierarchical Trees
(SPIHT)
Ayu Purwarianti
Parallel Sessions II
Formal Methods in Software Engineering and Enterprise Computing Lab
Venue: Sidang Room, 2nd Floor
Oct 10 (Sat)
13.15-14.45
(014) Robust Kurtosis Projection for Multivariate Outlier Labeling
Dyah Erny Herwindiati
(035) Children and Adults Schemes in Categorization of Basic Objects and Mobile Applications
Lumpapun Punchoojit and Nuttanont Hongwarittorrn
(102) An Automatic Health Surveillance Chart Interpretation System Based on Indonesian Language
Indra Aulia, Ari Moesriami Barmawi
(138) Formulating Implementation Strategy for Enterprise Content Management System Using Soft
System Methodology: A Case of A Marine Logistics Company in Indonesia
Sunu Wicaksono, Muhammad Rifki Shihab, Puspa Sandhyaduhita
(193) Enhancing Efficiency of Enterprise Digital Rights Management
Ahmed H. Soliman, Maged H. Ibrahim, Salwa H. El-Ramly
Plenary Speech II
Venue: Auditorium, 1st Floor
Topic
: Software-defined IT Systems
Oct 10 (Sat)
14.45-15.30
Plenary Speech by Prof. José A.B. Fortes, Ph.D.
Distributed Computing, Autonomic Computing, Computer Architecture, Parallel
Processing, and Fault Tolerant Computing, University of Florida
Moderator
: Prof. T. Basaruddin, Ph.D.
Parallel Sessions III
Invited Speech
Venue: Auditorium, 1st Floor
Moderator
Oct 10 (Sat)
16.00-17.30
: Prof. Heru Suhartanto, Ph.D.
24
ADVANCED PROGRAM
ICACSIS 2015
Advanced Targets Association Based on GPU Computation of PHD Function
Jan Pidanic, Ph.D
Parallel Sessions III
Digital Library & Distance Learning and IT-Governance
Venue: Seminar Room, 1st Floor
Oct 10 (Sat)
16.00-17.30
(020) Factors Affecting Knowledge Sharing and Its Effect on Performance of Higher Education Technical
and Vocational Agriculture in Java
Sofiyanti Indriasari, Dana Indra Senuse, Elin Cahyaningsih
(066) Genetic Algorithm Based Multi-objective Optimization of Wheat Flour Supply Chain Considering
Raw Material Substitution
Trisna, Marimin, Yandra Arkeman, Titi Candra Sunarti
(085) Analysis of Factors Affecting User Acceptance of the Implementation of ClassCraft E-Learning: Case
Studies Faculty of Information Technology of Tarumanagara University
Darius Haris
(122) Personal Traits as Antecedents Towards Intention to Use: A Perspective of a Government EDMS
Adoption in Indonesia
Karyanto Wijaya, Betty Purwandari, Muhammad Rifki Shihab
(123) E-Audit System Acceptance in the Public Sector: An Indonesian Perspective
Ferry Purwantoro, Betty Purwandari, Muhammad Rifki Shihab
Parallel Sessions III
Pattern Recognition, Image Processing & Content-Based Image Retrieval
System
Venue: Sidang Room, 2nd Floor
Oct 10 (Sat)
16.00-17.30
(027) Weather Forecasting using Deep Learning Techniques
Afan Galih Salman, Bayu Kanigoro, Yaya Heryadi
(055) Landmark Analysis of Leaf Shape Using Dynamic Threshold Polygonal Approximation
Wisard W Kalengkongan, Yeni Herdiyeni, Bib P Silalahi, Stephane Douady
(061) Periodic Update and Automatic Extraction of Web Data for Creating a Google Earth Based Tool
Taufik Fuadi Abidin, M. Subianto, T. A. Gani, R. Ferdhiana
(220) Multi Codebook LVQ-Based Artificial Neural Network Using Clustering Approach
M. Anwar Ma’sum, Hadaiq R. Sanabila, Aprinaldi, Wisnu Jatmiko
(222) Development of Travel Speed Detection Method in Welding Simulator using Augmented Reality
Ario Baskoro
25
ADVANCED PROGRAM
ICACSIS 2015
Parallel Session IV
Invited Speech
Venue: Auditorium, 1st Floor
Moderator
Oct 11 (Sun)
09.00-10.30
: Harry Budi Santoso, Ph.D.
Agent-Based Modeling for Developing Pervasive Persuasive Systems
Budhitama Subagdja, Ph.D.
Parallel Session IV
Information Retrieval
Venue: Seminar Room, 1st Floor
Oct 11 (Sun)
09.00-10.30
(083) Learning the search heuristic for combined task and motion planning
Vektor Dewanto
(110) Combination of SVD and K-means Method for Topic Detection in Twitter
Khumaisa Nur’aini, Ibtisami Najahaty, Lina Hidayati, Hendri Murfi, Siti Nurrohmah
(128) Knowledge Representation System for Copula Sentence in Bahasa Indonesia Based on Web
Ontology Language (OWL)
Denis Eka Cahyani, Ruli Manurung, and Rahmad Mahendra
(170) Gestalt Geometric CAPTCHA
Suttikiat Meelap, Nuttanont Hongwarittorrn
Parallel Session IV
Computer Networks, Computer Architecture, and High Performance Computing
Venue: Sidang Room, 2nd Floor
Oct 11 (Sun)
09.00-10.30
(105) Fetal State Classification from Cardiotography Based on Feature Extraction Using Hybrid K-Means
and Support Vector Machine
Nurul Chamidah, Ito Wasito
(107) Automatic Plant Watering Controller Component Using FPGA Device
Ima Primisima, Sunny Arief Sudiro, Bheta Agus Wardijono
(126) Optimization Process of Glycerol Esterification Using Real Time Adaptive Control
Iwan Aang Soenandi, Ani Suryani, Taufik Djatna, Irzaman
(180) Ontology Model Development based on Generic Object Oriented Smart Home Model
Yulistian Wardhana, Gladhi Guarddin, Bob Hardian
(218) Implementation of Adaptive Fuzzy Neuro Generalized Learning Vector Quantization (AFNGLVQ)
on Field Programmable Gate Array (FPGA) for Real World Application
Irfan Nur Afif, Yulistian Wardhana, Wisnu Jatmiko
26
ADVANCED PROGRAM
ICACSIS 2015
Plenary Speech III
Venue: Auditorium, 1st Floor
Topic
: Smart Homes: Design Issues; IoT and Cloud Computing Perspective
Oct 11 (Sun)
10.45-11.30
Prof. Subhas Mukhopadhyay
Professor of Sensing Technology, Massey University, New Zealand
Moderator
: Dr. Eng. Wisnu Jatmiko
Parallel Session V
Invited Speech
Venue: Auditorium, 1st Floor
Moderator
Oct 11 (Sun)
13.00-14.30
: Bayu Anggorojati, Ph.D.
Dynamic, Auto-adaptive Software Product Lines using the ABS Language
Radu Mushevici
Parallel Session V
Pattern Recognition, Image Processing & Content-Based Image Retrieval
Venue: Seminar Room, 1st Floor
Oct 11 (Sun)
13.00-14.30
(015) Leaf Vein Segmentation of Medical Plant Using Hessian Matrix
Adzkia Salima, Yeni Herdiyani, Stephane Douady
(088) Sleep Stages Classification using Shallow Classifiers
Endang Purnama Giri, Aniati Murni Arymurthy, Mohammad Ivan Fanany, Sastra Kusuma Wijaya
(159) Information Quality Assessment for User Perception on Indonesia Kreatif Web Portal
Arfive Gandhi, Muhammad Rifki Shihab, Satrio B. Yudhoatmojo, Achmad Nizar Hidayanto
(160) Application of Hierarchical Clustering Ordered Partitioning and Collapsing Hybrid in Ebola Virus
Phylogenetic Analysis
Hengki Muradi, Alhadi Bustamam, Dian Lestari
(182) Segmenting and Targeting Customers Through Clusters Selection & Analysis
Ilung Pranata, Geoff Skinner
Parallel Session V
Information Retrieval
Venue: Sidang Room, 2nd Floor
Oct 11 (Sun)
13.00-14.30
(041) Musical Genre Classification Using SVM and Audio Features
Ruddy J. Suhartil
(078) Tandem Repeats Analysis in DNA Sequences Based on Improved Burrows-Wheeler Transform
Algorithm
Peter Juma Ochieng, Taufik Djatna
27
ADVANCED PROGRAM
ICACSIS 2015
Closing Ceremony
Venue: Auditorium, 1st Floor
Oct 11 (Sun)
15.15-15.45
Master of Ceremony: Dr. Eng. Wisnu Jatmiko
28
ADVANCED PROGRAM
ICACSIS 2015
PRESENTER’S SCHEDULE
A
Ade Romadhony
A Simple Approach of Clause Extraction for Open Information Extraction
Seminar Room (106)
Parallel Session I
Oct 10 (Sat)
Presenter 5
10.30-12.00
Adzkia Salima
Leaf Vein Segmentation of Medicinal Plant Using Hessian Matrix
Seminar Room (106)
Parallel Session V
Oct 11 (Sun)
Presenter 1
13.00-14.30
Afan Galih Salman
Weather Forecasting using Deep Learning Techniques
Sidang Room (206)
Parallel Session III
Oct 10 (Sat)
16.00-17.30
Presenter 1
Ahmed H. Soliman
Enhancing Efficiency of Enterprise Digital Rights Management
Sidang Room (206)
Parallel Session II
13.15-14.45
Oct 10 (Sat)
Presenter 5
Alhadi Bustamam
Application of Hierarchical Ordered Partitioning and Collapsing Hybrid Method to Analyzing
Phylogenetically on Ebola Virus
Seminar Room (106)
Parallel Session V
13.00-14.30
Oct 11 (Sun)
Presenter 4
Ani Suryani
Optimization Process of Glycerol Esterification Using Real Time Adaptive Control
Sidang Room (206)
Parallel Session IV
Oct 11 (Sun)
Presenter 3
09.00-10.30
29
ADVANCED PROGRAM
ICACSIS 2015
Arfive Gandhi
Information Quality Assessment for User Perception on Indonesia Kreatif Web Portal
Seminar Room (106)
Parallel Session V
Oct 11 (Sun)
Presenter 3
13.00-14.30
Arif Budiman
Online Marginalized Linear Stacked Denoising Autoencoders for Streaming Big Data
Seminar Room (106)
Parallel Session II
Oct 10 (Sat)
Presenter 2
13.15-14.45
Ario Baskoro
Development of Travel Speed Detection Method in Welding Simulator using Augmented Reality
Sidang Room (206)
Parallel Session III
16.00-17.30
Oct 10 (Sun)
Presenter 5
Ayu Purwarianti
Indonesian-Japanese Term Extraction from Bilingual Corpora Using Machine Learning
Seminar Room (106)
Parallel Session I
10.30-12.00
Oct 10 (Sat)
Presenter 4
B
Bayu Distiawan Trisedya
Spark-Gram: Mining Frequent N-grams Using Parallel Processing in Spark
Seminar Room (106)
Parallel Session I
Oct 10 (Sat)
Presenter 1
10.30-12.00
Stock Price Prediction using Linear Regression based on Sentiment Analysis
Seminar Room (106)
Parallel Session I
Oct 10 (Sat)
Presenter 3
10.30-12.00
D
Darius Haris
Analysis of Factors Affecting User Acceptance of the Implementation of ClassCraft E-Learning:
Case Studies Faculty of Information Technology of Tarumanagara University
Seminar Room (106)
Parallel Session III
16.00-17.30
Oct 10 (Sat)
Presenter 3
30
ADVANCED PROGRAM
ICACSIS 2015
Denis Eka Cahyani
Knowledge Representation System for Copula Sentence in Bahasa Indonesia Based on Web
Ontology Language (OWL)
Seminar Room (106)
Parallel Session IV
Oct 11 (Sun)
Presenter 3
09.00-10.30
Dwi Purnomo
Genetic Algorithm Optimization for Extreme Learing Machine based Microalgal Growth Forecasting
of Chlamydomonas sp.
Sidang Room (206)
Parallel Session I
Oct 10 (Sat)
Presenter 5
10.30-12.00
Dyah Erny Herwindiati
Robust Kurtosis Projection for Multivariate Outlier Labeling
Sidang Room (206)
Parallel Session II
Oct 10 (Sat)
13.15-14.45
Presenter 1
E
Endang Purnama Giri
Sleep Stage Classification using Simple Popular Classifier
Seminar Room (106)
Parallel Session V
13.00-14.30
Oct 11 (Sun)
Presenter 2
G
Grafika Jati
ECG Signal Compression by Using Preditive Coding And Set Partitioning in Hierarchical Trees (SPIHT)
Seminar Room (106)
Parallel Session II
Oct 10 (Sat)
Presenter 5
13.15-14.45
I
Ilung Pranata
Segmenting and Targeting Customers Through Clusters Selection & Analysis
Seminar Room (106)
Parallel Session V
Oct 11 (Sun)
Presenter 5
13.00-14.30
31
ADVANCED PROGRAM
ICACSIS 2015
Indra Aulia
An Automatic Health Surveillance Chart Interpretation System Based on Indonesian Language
Sidang Room (206)
Parallel Session II
Oct 10 (Sat)
Presenter 3
13.15-14.45
J
Johanes Effendi The
A Two-Stage Emotion Detection on Indonesian Tweets
Seminar Room (106)
Parallel Session I
Oct 10 (Sat)
10.30-12.00
Presenter 2
K
Khumaisa Nur’aini
Combination of SVD and K-means Method for Topic Detection in Twitter
Seminar Room (106)
Parallel Session IV
Oct 11 (Sun)
Presenter 2
09.00-10.30
L
Lumpapun Punchoojit
Children and Adults Schemes in Categorization of Basic Objects and Mobile Applications
Sidang Room (206)
Parallel Session II
Oct 10 (Sat)
Presenter 2
13.15-14.45
M
Machmud Alhamidi
An Adaptive Selective Background Learning-Hole Filling Algorithm to Improve Vehicle Detection
Seminar Room (106)
Parallel Session II
Oct 10 (Sat)
Presenter 3
13.15-14.45
Mas Dadang Enjat Munajat
32
ADVANCED PROGRAM
ICACSIS 2015
Road Detection System based on RGB Histogram Filterization and Boundary Classifier
Sidang Room (206)
Parallel Session I
10.30-12.00
Oct 10 (Sat)
Presenter 1
Meylinda Nur Puspita
A Classification System for Jamu Efficacy Based on Formula Using Support Vector Machine and KMeans Algorithm as a Feature Selection
Sidang Room (206)
Parallel Session I
Oct 10 (Sat)
Presenter 3
10.30-12.00
Muhammad Rifki Shihab
Personal Traits as Antecedents Towards Intention to Use: A Perspective of a Government EDMS
Adoption in Indonesia
Seminar Room (106)
Parallel Session III
Oct 10 (Sat)
Presenter 4
16.00-17.30
E-Audit System Acceptance in the Public Sector: An Indonesian Perspective
Seminar Room (106)
Parallel Session III
Oct 10 (Sat)
Presenter 5
16.00-17.30
Muhammad Anwar Ma’sum
Multi Codebook LVQ-Based Artificial Neural Network Using Clustering Approach
Sidang Room (206)
Parallel Session III
Oct 10 (Sun)
Presenter 4
16.00-17.30
N
Novian Habibie
Evolutionary-based Segment Selection for Higher-order Conditional Random Fields in Semantic
Image Segmentation
Seminar Room (106)
Parallel Session II
Oct 10 (Sat)
Presenter 4
13.15-14.45
33
ADVANCED PROGRAM
ICACSIS 2015
Nurul Chamidah
Fetal State Classification from Cardiotocography Based on Feature Extraction Using Hybrid KMeans and Support Vector Machine
Sidang Room (206)
Parallel Session IV
09.00-10.30
Oct 11 (Sun)
Presenter 1
Nuttanont Hongwarittorrn
Gestalt Geometric CAPTCHA
Seminar Room (106)
Parallel Session IV
09.00-10.30
Oct 11 (Sun)
Presenter 4
P
Peter Juma Ochieng
Tandem Repeat Analysis in DNA Sequences based on improved Burrows-Wheeler Transform
Algorithm
Sidang Room (206)
Parallel Session V
Oct 11 (Sun)
Presenter 4
13.00-14.30
R
Ruddy J. Suhatril
Musical Genre Classification Using SVM and Audio Features
Sidang Room (206)
Parallel Session V
Oct 11 (Sun)
13.00-14.30
Presenter 2
S
Sofiyanti Indriasari
Factors Affecting Knowledge Sharing and Its Effect on Performance of Higher Education Technical
and Vocational Agriculture in Java
Seminar Room (106)
Parallel Session III
Oct 10 (Sat)
Presenter 1
16.00-17.30
34
ADVANCED PROGRAM
ICACSIS 2015
Sunny Arief Sudiro
Automatic Plant Watering Controller Component Using FPGA Device
Sidang Room (206)
Parallel Session IV
Oct 11 (Sun)
Presenter 2
09.00-10.30
Sunu Wicaksono
Formulating Implementation Strategy for Enterprise Content Management System Using Soft
System Methodology: A Case of A Marine Logistics Company in Indonesia
Sidang Room (206)
Parallel Session II
13.15-14.45
Oct 10 (Sat)
Presenter 4
Syeiva Nurul Desylvia
A Monsoon Onset and Offset Prediction Model Using Backpropagation and Moron Method A case
in Drought Region
Sidang Room (206)
Parallel Session I
Oct 10 (Sat)
Presenter 2
10.30-12.00
T
Taufik Fuadi Abidin
Periodic Update and Automatic Extraction of Web Data for Creating a Google Earth Based Tool
Sidang Room (206)
Parallel Session III
16.00-17.30
Oct 10 (Sun)
Presenter 3
Thia Sabel Permata
Clustering Protein-Protein Interaction Network of TP53 Tumor Suppressor Protein using Markov
Clustering Algorithm
Sidang Room (206)
Parallel Session I
Oct 10 (Sat)
Presenter 4
10.30-12.00
Timotius Devin
Mangifera indica Real-Time Quality Classifications Using Codebook Segmentation and Mass-Size
Correlation Equations
Seminar Room (106)
Parallel Session II
Oct 10 (Sat)
Presenter 1
13.15-14.45
Trisna Trisna
Genetic Algorithm Based Multi-objective Optimization of Wheat Flour Supply Chain Considering
Raw Material Substitution
35
ADVANCED PROGRAM
Seminar Room (106)
ICACSIS 2015
Parallel Session III
16.00-17.30
Oct 10 (Sat)
Presenter 2
V
Vektor Dewanto
Learning the search heuristic for combined task and motion planning
Seminar Room (106)
Parallel Session IV
Oct 11 (Sun)
Presenter 1
09.00-10.30
W
Wisard Widsli Kalengkongan
Landmark Analysis of Leaf Shape Using Dynamic Threshold Polygonal Approximation
Sidang Room (206)
Parallel Session III
Oct 10 (Sun)
Presenter 2
16.00-17.30
Y
Yulistiyan Wardhana
Ontology Model Development based on Generic Object Oriented Smart Home Model
Sidang Room (206)
Parallel Session IV
Oct 11 (Sun)
Presenter 4
09.00-10.30
Implementation of Adaptive Fuzzy Neuro Generalized Learning Vector Quantization (AFNGLVQ) on
Field Programmable Array (FPGA) for Real World Application
Sidang Room (206)
Parallel Session IV
Oct 11 (Sun)
Presenter 5
09.00-10.30
36