advanced program icacsis 2015

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CONFERENCE INFORMATION

Dates October 10^th (Saturday) – October 11^th (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:

• 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:

• H. Suhartanto, Universitas Indonesia, ID

• Z. A. Hasibuan, Universitas Indonesia, ID

• S. Kuswadi, Electronic Engineering Polytechnic Institute of Surabaya / Soft Computing, ID Program Chairs:

• 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:

• K. Wastuwibowo, IEEE Indonesia Section, ID Program Committees:

• 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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• 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:

• 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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VENUE MAP

Pusat Studi Jepang Universitas Indonesia

Kampus Baru UI Depok

Pondok Cina, Beji, Depok 16424 Indonesia

ICACSIS Venue

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Venue Map

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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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PROGRAM SCHEDULE

Saturday, October 10th, 2015-CONFERENCE

Time Event Event Details Rooms

08.00-09.00 Registration

Auditorium, Pusat Studi Jepang,

Universitas Indonesia

09.00-09.05

Opening Ceremony

Opening speech from the General Chair of ICACSIS 2015, Prof. Heru Suhartanto, Ph.D.

09.05-09.10

Opening speech from the Dean of Faculty of Computer Science

Universitas Indonesia (Mirna Adriani, Ph.D)

09.10-09.15

Opening Speech from the Vice Rector Universitas Indonesia (Prof Dr.rer.nat Rosari Saleh)

09.15-10.00 Plenary Speech I

Prof. Kevin Burrage from University of Oxford

10.00-10.05

Ceremonial gift, from the Dean of Faculty of Computer Science Universitas Indonesia to Prof. Kevin Burrage

10.05-10.15 ICACSIS Photo Session

10.15-10.30 Coffee Break

10.30-12.00

Parallel Session I : Three Parallel Sessions

Prof. Maman Abdurrahman from Universiti Putra Malaysia, MY

R.206, R.106, Auditorium.

12.00-13.15 Lunch

13.15-14.45

Parallel Session II:

Three Parallel Sessions

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

16.00-17.30

Parallel Session III : Three Parallel Sessions

Jan Pidanic, Ph.D, University of Pardubice, CZ

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10 Sunday, October 11th, 2015-CONFERENCE

Time Event Event Details Rooms

08.00-09.00 Registration

09.00-10.30

Parallel Session IV : Three Parallel Sessions

Budhitama Subagdja, Ph.D, Nanyang Technological University, SG

10.45-11.30 Plenary Speech III

Prof. Subhas Mukhopadhyay from Massey University, NZ

11.30-13.00 Lunch

13.00-14.30

Parallel Session V : Three Parallel Sessions

Radu Muschevici, Ph.D from

Technische Universitat Darmstadt, DE

15.15-15.45

Closing Ceremony (Awards

Announcement and Photo Session)

Awards Announcement from the Program Chair of ICACSIS 2015, Dr.

Eng. Wisnu Jatmiko, S.T., M.Kom.

15.45-17.00 Break

17.00-19.00 Dinner Farewell Dinner for Participants Mang Engking Restaurants

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KEYNOTE SPEAKERS

 Kevin Burrage, University of Oxford, UK

 Subhas Mukhopadhyay, Massey University, NZ

 José A.B. Fortes, University of Florida, US

INVITED SPEAKERS

 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 software- defined 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 fault- tolerant computing. He has authored or coauthored over 200 technical papers and has lead the development and

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15 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

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, Tomas Shejbal

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, Zdenek Nemec

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, Heru Suhartanto*

+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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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, 1^stFloor

Oct 10 (Sat) 09.00-09.30 Master of Ceremony: Prof. Heru Suhartanto

Plenary Speech I

Oct 10 (Sat) 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

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, 1^stFloor

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

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23 Parallel Sessions I

Pattern Recognition, Image Processing & Content-Based Image Retrieval Venue: Sidang Room, 2^ndFloor

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 K- Means Algorithm as a Feature Selection

Melyinda Nur Puspita, Wisnu Ananta Kusuma, Aziz Kustiyo, Rudi Heryanto

(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

Oct 10 (Sat) 13.15-14.45

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, 1^stFloor

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 Moderator : Harry Budi Santoso, Ph.D

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24 (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)

Parallel Sessions II

Formal Methods in Software Engineering and Enterprise Computing Lab Venue: Sidang Room, 2^ndFloor

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

Oct 10 (Sat) 14.45-15.30 Topic : Software-defined IT Systems

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

Oct 10 (Sat) 16.00-17.30 Moderator : Prof. Heru Suhartanto, Ph.D.

Grafika Jati , Aprinaldi, Wisnu Jatmiko

(25)

25 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, 1^stFloor

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, 2^ndFloor

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

(26)

26 Parallel Session IV

Invited Speech

Oct 11 (Sun) 09.00-10.30 Moderator : 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, 1^stFloor

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, 2^ndFloor

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

(078) Tandem Repeats Analysis in DNA Sequences Based on Improved Burrows-Wheeler Transform Algorithm

Peter Juma Ochieng, Taufik Djatna

(27)

27 Plenary Speech III

Venue: Auditorium, 1^st Floor

Oct 11 (Sun) 10.45-11.30 Topic : Smart Homes: Design Issues; IoT and Cloud Computing Perspective

Prof. Subhas Mukhopadhyay

Professor of Sensing Technology, Massey University, New Zealand Moderator : Dr. Eng. Wisnu Jatmiko

Parallel Session V Invited Speech

Oct 11 (Sun) 13.00-14.30 Moderator : 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, 1^stFloor

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

(135) Clustering Protein-Protein Interaction Network of TP53 Tumor Suppressor Protein using Markov Clustering Algorithm

Thia Sabel Permata, Alhadi Bustamam

(28)

28 Closing Ceremony

Oct 11 (Sun) 15.15-15.45 Master of Ceremony: Dr. Eng. Wisnu Jatmiko

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29

PRESENTER’S SCHEDULE

A

Ade Romadhony

A Simple Approach of Clause Extraction for Open Information Extraction Seminar Room (106) Parallel Session I

10.30-12.00

Oct 10 (Sat) Presenter 5

Adzkia Salima

Leaf Vein Segmentation of Medicinal Plant Using Hessian Matrix Seminar Room (106) Parallel Session V

13.00-14.30

Oct 11 (Sun) Presenter 1

Afan Galih Salman

Weather Forecasting using Deep Learning Techniques Sidang Room (206) Parallel Session III

16.00-17.30

Ahmed H. Soliman

Enhancing Efficiency of Enterprise Digital Rights Management Sidang Room (206) Parallel Session II

13.15-14.45

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

Ani Suryani

Optimization Process of Glycerol Esterification Using Real Time Adaptive Control Sidang Room (206) Parallel Session IV

09.00-10.30

(30)

30 Arfive Gandhi

Information Quality Assessment for User Perception on Indonesia Kreatif Web Portal Seminar Room (106) Parallel Session V

13.00-14.30

Arif Budiman

Online Marginalized Linear Stacked Denoising Autoencoders for Streaming Big Data Seminar Room (106) Parallel Session II

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

Ayu Purwarianti

Indonesian-Japanese Term Extraction from Bilingual Corpora Using Machine Learning Seminar Room (106) Parallel Session I

10.30-12.00

B

Bayu Distiawan Trisedya

Spark-Gram: Mining Frequent N-grams Using Parallel Processing in Spark Seminar Room (106) Parallel Session I

10.30-12.00

Oct 10 (Sat) Presenter 1 Stock Price Prediction using Linear Regression based on Sentiment Analysis Seminar Room (106) Parallel Session I

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

(31)

31 Denis Eka Cahyani

Knowledge Representation System for Copula Sentence in Bahasa Indonesia Based on Web Ontology Language (OWL)

Seminar Room (106) Parallel Session IV 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 10.30-12.00

Dyah Erny Herwindiati

Robust Kurtosis Projection for Multivariate Outlier Labeling Sidang Room (206) Parallel Session II

13.15-14.45

E

Endang Purnama Giri

Sleep Stage Classification using Simple Popular Classifier Seminar Room (106) Parallel Session V

13.00-14.30

G

Grafika Jati

ECG Signal Compression by Using Preditive Coding And Set Partitioning in Hierarchical Trees (SPIHT) Seminar Room (106) Parallel Session II

13.15-14.45

I

Ilung Pranata

Segmenting and Targeting Customers Through Clusters Selection & Analysis Seminar Room (106) Parallel Session V

13.00-14.30

(32)

32 Indra Aulia

An Automatic Health Surveillance Chart Interpretation System Based on Indonesian Language Sidang Room (206) Parallel Session II

13.15-14.45

J

Johanes Effendi The

A Two-Stage Emotion Detection on Indonesian Tweets Seminar Room (106) Parallel Session I

10.30-12.00

K

Khumaisa Nur’aini

Combination of SVD and K-means Method for Topic Detection in Twitter Seminar Room (106) Parallel Session IV

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

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

13.15-14.45

Mas Dadang Enjat Munajat

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33 Road Detection System based on RGB Histogram Filterization and Boundary Classifier Sidang Room (206) Parallel Session I

10.30-12.00

Meylinda Nur Puspita

A Classification System for Jamu Efficacy Based on Formula Using Support Vector Machine and K- Means Algorithm as a Feature Selection

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 16.00-17.30

Oct 10 (Sat) Presenter 4 E-Audit System Acceptance in the Public Sector: An Indonesian Perspective Seminar Room (106) Parallel Session III

16.00-17.30

Muhammad Anwar Ma’sum

Multi Codebook LVQ-Based Artificial Neural Network Using Clustering Approach Sidang Room (206) Parallel Session III

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 13.15-14.45

(34)

34 Nurul Chamidah

Fetal State Classification from Cardiotocography Based on Feature Extraction Using Hybrid K- Means and Support Vector Machine

Sidang Room (206) Parallel Session IV 09.00-10.30

Nuttanont Hongwarittorrn Gestalt Geometric CAPTCHA Seminar Room (106) Parallel Session IV

09.00-10.30

P

Peter Juma Ochieng

Tandem Repeat Analysis in DNA Sequences based on improved Burrows-Wheeler Transform Algorithm

R

Ruddy J. Suhatril

Musical Genre Classification Using SVM and Audio Features Sidang Room (206) Parallel Session V

13.00-14.30

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 16.00-17.30

Oct 10 (Sat) Presenter 1 Seminar Room (106) Parallel Session IV

09.00-10.30 Oct 11 (Sun) Presenter 5

(35)

35 Sunny Arief Sudiro

Automatic Plant Watering Controller Component Using FPGA Device Sidang Room (206) Parallel Session IV

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

Syeiva Nurul Desylvia

A Monsoon Onset and Offset Prediction Model Using Backpropagation and Moron Method A case in Drought Region

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

Thia Sabel Permata

Clustering Protein-Protein Interaction Network of TP53 Tumor Suppressor Protein using Markov Clustering Algorithm

Timotius Devin

Mangifera indica Real-Time Quality Classifications Using Codebook Segmentation and Mass-Size Correlation Equations

Seminar Room (106) Parallel Session II 13.15-14.45

Trisna Trisna

Genetic Algorithm Based Multi-objective Optimization of Wheat Flour Supply Chain Considering Raw Material Substitution

Seminar Room (106) Parallel Session V 13.00-14.30

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36 Seminar Room (106) Parallel Session III

16.00-17.30

V

Vektor Dewanto

Learning the search heuristic for combined task and motion planning Seminar Room (106) Parallel Session IV

09.00-10.30

W

Wisard Widsli Kalengkongan

Landmark Analysis of Leaf Shape Using Dynamic Threshold Polygonal Approximation Sidang Room (206) Parallel Session III

16.00-17.30

Y

Yulistiyan Wardhana

Ontology Model Development based on Generic Object Oriented Smart Home Model Sidang Room (206) Parallel Session IV

09.00-10.30

Oct 11 (Sun) Presenter 4 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

09.00-10.30