Advanced Program

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IWBIS 2017

2017 International Workshop on Big Data and Information Security September 23-24, 2017 South Jakarta, Indonesia

BIS

KANTOR PENGELOLAAN PRODUK

RISET & INOVASI

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CONFERENCE INFORMATION

Dates September 23^th (Saturday) – September 24^th (Sunday) 2017 Organizer Faculty of Computer Science, Universitas Indonesia

Venue Ambhara Hotel – Jakarta Jalan Iskandarsyah Raya No.1 Jakarta Selatan 12160, Indonesia Phone : (+62 21) 2700800 Fax : (+62 21) 722 0582 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://iwbis.cs.ui.ac.id

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COMMITTEES

Honorary Chairs:

• A. Jain, IEEE Fellow, Michigan State University, US

• M. Anis, Universitas Indonesia, ID

• M. Adriani, Universitas Indonesia, ID General Chairs:

• H. B. Santoso , Universitas Indonesia, ID

• W. Jatmiko, Universitas Indonesia, ID

Program Chairs:

• B. Anggorojati, Universitas Indonesia, ID Section Chairs:

• S. Dharmanto, IEEE Indonesia Section, ID Financial Chair:

• M. Soleh, Universitas Indonesia, ID Publication Chair:

• Y. Wardhana, Universitas Indonesia, ID Program Committees:

• A. Koronios, University of South Australia, AU

• A. N. Hidayanto, Universitas Indonesia, ID

• A. Purwarianti, Institut Teknologi Bandung,ID

• A. Srivihok, Kasetsart University, TH

• A. Tiu, Nanyang Technological University, SG

• A. Z. Arifin, Institut Teknologi Sepuluh Nopember, ID

• B. A. Plale, Indiana University, USA

• B. Anggorojati, Universitas Indonesia, ID

• B. Hardian, Universitas Indonesia, ID

• B. Purwandari, Universitas Indonesia, ID

• E. Gaura, Coventry University, EN

• F. Darari, Universitas Indonesia, ID

• I. Wasito, Universitas Indonesia, ID

• J. A. Fortes, University of Florida, USA

• K. Dong, Chinese Academy of Science, CN

• K. Ichikawa, Nara Institute of Science and Technology, JP

• M. I. Fanany, Universitas Indonesia, ID

• M. T. Suarez, De La Salle University, PH

• P. Hitzler, Wright State University, US

• P. Mursanto, Universitas Indonesia, ID

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• S. Bressan, National University of Singapore, SG

• T. Hardjono, Massachusetts Institute of Technology, US

• T. Salakoski, University of Turku, FI

• W. C. Wibowo, Universitas Indonesia, ID

• W. S. Nugroho, Universitas Indonesia, ID

• X. Li, University of Queensland, AU

• Y. Huang, Sinica, TW

• Y. G. Sucahyo, Universitas Indonesia, ID Local Organizing Chair:

• G. Jati, Universitas Indonesia, ID Local Organizing Committee:

• A. Parastry, Universitas Indonesia, ID

• A. R. Rachmasari, Universitas Indonesia, ID

• D. M. S. Arsa, Universitas Indonesia, ID

• M. Soleh, Universitas Indonesia, ID

• M. Roby, Universitas Indonesia, ID

• N. Fazriah, Universitas Indonesia, ID

• S. C. Purbarani, Universitas Indonesia, ID

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Ambhara Hotel

Ambhara Hotel – Jakarta Jalan Iskandarsyah Raya No.1 Jakarta Selatan 12160, Indonesia

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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 (IDR 120.000) (per page) Participant USD 150 (International)

IDR 700.000 (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

Day 1, September 23th, 2017

Time

Room

Main Hall : Elang Room Breakout Room I: Board 1 Breakout Room II: Board 2

Start End Event Event Details Event Event

Details Event Event Details

8:00 9:00 Registration

9:00 9:05

Opening Ceremony

Welcoming remarks by Dean of Computer Science, UI

9:05 9:10 Remarks on

behalf of rectorate, UI

behalf of ILRC, UI

behalf of Kemkominfo

9:20 9:25 Remarks by

IWBIS 2017 Program Chair

9:25 9:50 Samsung-

Fasilkom UI Collaboration Belated Ceremony

9:50 10:00 Coffee break

10:00 10:50

Workshop on Big Data/Information

Security by

“Samsung”

Session 1:

“Deep Neural Networks and

Its Applications”

Focus Group Discussion

“Telehealth”

Private meeting only for invited participants.

10:50 11:40 Session 2:

“Parallel Processing

for Deep Learning Computation”

Focus Group Discussion

“Telehealth”

Private meeting only for invited participants.

11:40 13:00 Lunch break

13:00 13:50 Workshop on

Big Data by

“labs247”

Session 1:

“HGrid for Big Data Processing”

13:50 14:40 Workshop on

Big Data by

“labs247”

Session 2:

“HGrid for Big Data Processing”

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Time Room

Main Hall : Elang Room Breakout Room I: Board 1 Breakout Room II: Board 2

Start End Event Event Details Event Event

Details Event Event Details

15:40 16:30

Workshop on Cloud Computing by

“Cloud Computing Indonesia”

Session 1:

“OpenStack Sahara: Big

Data Processing Framework Provisioning”

16:30 17:20 Session 2:

“OpenStack Sahara: Big

Data Processing Framework Provisioning”

17:20 17:40

Day 1 Closing

Closing and photo session

audience

19:00 21:00

Gala Dinner

audience:

invited guesses, IWBIS participants, regular participants, committee

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Day 2, September 24th, 2017

Time Room

Main Hall : Elang Room Breakout Room I : Board 1 Breakout Room II : Board 2 Start End Event Event Details Event Event Details Event Event Details

8:00 9:00 Registration

9:00 9:45 Keynote speech I:

Prof. Hironori Washizaki

Moderator:

10:00 10:45 Keynote speech II:

Prof. Rajkumar Buyya

Moderator:

11:05 12:05

Parallel session I:

Paper Presentation Session Chair:

Parallel session II:

Paper Presentation

Session Chair:

Parallel session III:

Paper Presentation

Session Chair:

12:05 13:00 Lunch

13:00 13:45 Keynote speech III:

Prof. Kim Kwangjo Moderator 14:00 14:45 Keynote speech IV:

Prof. Tsukasa

Hirashima Moderator

14:45 15:30 Break

15:30 16:30

Parallel session IV:

Paper Presentation Session Chair:

Parallel session V:

Paper Presentation

Session Chair:

Parallel session VI:

Paper Presentation

Session Chair:

16:30 17:10

Keynote speech V:

Dr. Setia Pramana Moderator 17:10 17:25

Closing ceremony

Awards announcement

and photo session

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KEYNOTE SPEAKER

• Hironori Washizaki, Waseda University, JP

• Rajkumar Buyya, University of Melbourne, AU

• Kim Kwangjo, KAIST, KR

• Tsukasa Hirashima, Hiroshima University, JP

• Setia Pramana, Sekolah Tinggi Ilmu Statistik, IN

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“Keynote Speaker”

Security Patterns: Research Direction, Metamodel, Application and Verification

Hironori Washizaki

Global Software Engineering Laboratory, Waseda University National Institute of Informatics

SYSTEM INFORMATION CO., LTD.

Tokyo, Japan

Abstract

Security patterns (SPs) are encapsulated reusable solutions to recurrent security problems under specific contexts in systems and software engineering. Over the past ten years, the author together with researchers and practitioners have led many research projects on SPs in order to realize and support secure software systems development. This paper introduces achievements of these projects including a survey on SP researches, a metamodel for cloud security and privacy knowledge including SPs, a model- driven SP application technique, and a tool for verifying SP application in models and code.

Profile

Prof. Washizaki is chairman and professor in the laboratory of Global Software Engineering, Waseda University, Japan. He also works at the National Institute of Informatics as a visiting professor and at SYSTEM. INFORMATION CO., LTD. as outside director. He holds a doctorate in Information and Computer Science at Waseda University in 2003. He is an expert in software modeling, product line and quality assurance. He has also published over 100 papers in both journal and conference form. Some awards have been achieved by Prof. Washizaki, among others, the best paper of Funai in 2009, the best poster at IWESEP 2014, the award of APSCIT 2016 computer researcher and JSEE Engineering Education 2017. He also joined as a member of the committee program at various international conferences such as ICSE, ASE, ICST, SEKE , ICMT, XP, SAC PSC, SPLC, PROMISE, PROFES, APSEC, JCKBSE, PLoP, AsianPLoP, ICSOFT, DEPEND, ASEA, SecTech, ISA, WorldCIST, Mensura, MODELSWARD, BIST AISE and ICIST ISSEA. In addition, he served as director of ACM-IPC 2014 Asia Regional Tokyo Contest and secretary of IEEE CS Japan Chapter.

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“Keynote Speaker”

New Frontiers in Cloud Computing for Big Data and Internet-of-Things (IoT) Applications

Rajkumar Buyya

Computer Science and Software Engineering, University of Melbourne, Australia Abstract

Computing is being transformed to a model consisting of services that are commoditised and delivered in a manner similar to utilities such as water, electricity, gas, and telephony. Several computing paradigms have promised to deliver this utility computing vision. Cloud computing has emerged as one of the buzzwords in the IT industry and turned the vision of "computing utilities" into a reality. Clouds deliver infrastructure, platform, and software (application) as services, which are made available as subscription- based services in a pay-as-you-go model to consumers. Cloud application platforms need to offer (1) APIs and tools for rapid creation of elastic applications and (2) a runtime system for deployment of applications on geographically distributed computing infrastructure in a seamless manner. The Internet of Things (IoT) paradigm enables seamless integration of cyber-and-physical worlds and opening up opportunities for creating new class of applications for domains such as smart cities. The emerging Fog computing is extending Cloud computing paradigm to edge resources for latency sensitive IoT applications. This keynote presentation will cover (a) 21st century vision of computing and identifies various IT paradigms promising to deliver the vision of computing utilities; (b) opportunities and challenges for utility and market-oriented Cloud computing, (c) innovative architecture for creating market-oriented and elastic Clouds by harnessing virtualisation technologies; (d) Aneka, a Cloud Application Platform, for rapid development of Cloud/Big Data applications and their deployment on private/public Clouds with resource provisioning driven by SLAs; (e) experimental results on deploying Cloud and Big Data/Internet-of-Things (IoT) applications in engineering, and health care, satellite image processing, and smart cities on elastic Clouds; and (f) directions for delivering our 21st century vision along with pathways for future research in Cloud and Fog computing.

Profile

Dr. Rajkumar Buyya is a Fellow of IEEE, Professor of Computer Science and Software Engineering and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft Pty Ltd., a spin-off company of the University, commercialising its innovations in Grid and Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He received Doctor of Philosophy (PhD) in Computer Science and Software Engineering from Monash University, Melbourne, Australia in 2002. Dr. Buyya has contributed to the creation of high-performance computing and communication system software for PARAM supercomputers developed by the Centre for Development of Advanced Computing (C-DAC), India. Dr. Buyya has

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14 founded five IEEE/ACM international conferences: CCGrid, Cluster, Grid, e-Science, and UCC (Utility and Cloud Computing) and served as the Chair of their inaugural meetings. He has presented over 400 invited talks (keynotes, tutorials, and seminars) on his vision on IT Futures and advanced computing technologies at international conferences and institutions in Asia, Australia, Europe, North America, and South America.

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“Keynote Speaker”

Deep Feature Learning for Intrusion Detection System

Kim Kwangjo

Computer Science Department, KAIST, South Korea Abstract

Deep learning techniques are becoming popular and prevasive due to its capability to cope with large- scale data these days. They have been investigated within various kinds of applications e.g., language, graphical modeling, speech, audio, image recognition, video, natural language and signal processing areas.

In addition, extensive researches applying machine-learning methods in Intrusion Detection System (IDS) have been done in both academia and industry. However, huge data and difficulties to obtain data instances are big challenges to machine-learning based IDS. Then, we will introduce deep feature learning for feature construction, extraction and selection to improve the detection rate of the current IDS by presenting our own deep learning method Finally we will suggest the future research directions using deep learning techniques for IDS

Profile

Prof. Kim Kwangjo received his PhD in Div. of Electrical & Computer Engineering in Yokohama National University, Japan. Prof. Kim has been published hundread of papers. Prof. Kim’s expertise is Cryptology and Information Security : Theory and its Practice. Currently, Prof. Kim is a honorable present of KIISC, professor in School of Computing KAIST, Korean Representative of IFIP TC-11, and fellow of the IACR.

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“Keynote Speaker”

Model-Based Approach for Educational Big Data

Analysis of Learners Thinking with Process Data Tsukasa Hirashima, Ahmad Afif Supianto, Yusuke Hayashi

Graduate School of Engineering Hiroshima University, Japan Abstract

One of the most important roles of Information and Communication Technology (ICT) for education is to design new learning activities. This approach is often called model-based approach for education with ICT.

Since the confirmation whether learners be able to conduct the designed activities or not is crucial, the evaluation of the new learning activities should be carried out by process analysis. Unlike the performance analysis which evaluates the data based on the pre and posttest score, process analysis estimates data at the process level based on the learners' progress. Process analysis with process data in educational settings is an issue of educational big data since the process data is a kind of big data. This paper presents a model-based approach investigation for educational big data through process analysis. A series of study are covered as study cases of a model-based approach for analyzing problem-posing processes data in term of the learners’ thinking.

Profile

Tsukasa Hirashima received his B.E., M.E. and PhD from Osaka University in 1986, 1988, and 1991 respectively. He has been a professor of Graduate School, Department of Information Engineering, Hiroshima University since 2004. Dr. Hirashima's contributions in Computers in Education, especially, in artificial intelligence in education include modeling of problem-solving process, error- visualization for error-awareness, information filtering, question/problem generation, learning by problem posing and design method of learning game. He has received four awards from major international conferences about computer and education (World Conference on Educational Multimedia and Hypermedia (ED-MEDIA1995, Outstanding Paper Award), International Conference on Computer in Education (ICCE 2001, 2002, Best Paper Awards), and Artificial Intelligence and Educaiton (AIED2009, Honorable Mention Award, top 3 papers). In domestic in Japan, he is a vice-editor-in-chief of English journal and a member of executive board of the Japanese Society of Information and Systems in Education. He is also a member of trustee and editorial board of Japanese Society of Artificial Intelligence, a member of editorial board of the Institute of Electronics, Information and Communication Engineers, and a member of editorial board of the Game Amusement Society. In

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17 addition, he is a chairperson of Advanced Learning Science and Technology SIG in Japanese Society of Artificial Intelligence. Because of these achievements and contributions, he is fully accepted as the leader of artificial intelligence in education in Japan.

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“Keynote Speaker”

Big Data for Government Policy: Potential Implementations of BigData for Official Statistics in Indonesia

Setia Pramana¹, Jonggun Lee², Budi Yuniarto¹, Robert Kurniawan¹, Ricky Yordani¹, Imaduddin Amin², Ni Luh Putu Satyaning P.P², and Yulistina Riyadi²

1Institute Of Statistics, BPS Statistics Indonesia

2UN Global Pulse Jakarta Abstract

Big Data is an umbrella term for explosion in the quantity and diversity of high frequency digital data and it is not usually coming from traditional sources. The speed and frequency by which data is produced and collected—by an increasing number of sources—is responsible for today’s data deluge: the amount of available digital data is projected to increase by an annual 40%. “Big Data for Development” is a concept that refers to the identification of sources of Big Data relevant to policy and planning of development programmes. It differs from both “traditional” development data and what the private sector and mainstream media call Big Data. Potential applicability of “Big Data for Development” at the most general level, when it is properly analysed, these new data can provide snapshots of the well-being of populations at high frequency, high degrees of granularity, and from a wide range of angles, narrowing both time and knowledge gaps. This research discussed several possible implementations of Big Data to the official statistics in Indonesia. Furthermore, three case studies would be discussed: (1) predicting inter-city commuting patterns using twitter, (2) developing a statistical model to nowcast food prices using crowdsourcing, and (3) Mobile Position Data for Tourism Statistics. The results show similar trend between crowdsourcing approach and BPS Survey for all commodities, between the twitter approach and the commuter survey 2014. For the MPD approach for tourist statistics, the number of visits based on the roaming and the visits based on the immigration are similar. The study reveals potential implementations of Bigdata in complementing official statistics for government policy in Indonesia.

Profile

Dr Setia Pramana is a lecturer at the Department of Statistics Computation, Institute of Statistics (STIS), Indonesia and an adjunct faculty at the Department of Medical Epidemiology and Biostatistics Karolinska Institutet, Stockholm. He obtained his PhD at Hasselt University and later worked as a post-doctoral researcher at Karolinska Institutet, Stockholm. His research interests include statistical methods for high-throughput data analyses particularly in Next Generation Sequencing (NGS) data, microarray studies in

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TECHNICAL PROGRAM IWBIS 2017

Opening Ceremony

Venue: Main Hall (Elang Room) Saturday, Sep 23

09:00-09:50

Workshop on Big Data/Information Security by “Samsung”

10:00-11:40 Speakers:

- Junaidillah Fadlil - Andri Mirandi

Focus Group Discussion: Telehealth (private)

Venue: Breakout Room I (Board 1) Saturday, Sep 23

10:00-11:40 Topic: Telehealth

Moderator: Dr. Eko Kuswardono Budiardjo Workshop on Big Data by “Solusi247”

Venue: Main Hall (Elang Room) Saturday Sep 23

13:00-14:40 Speakers:

- Solechoel Arifin - Handy Wijaya

Workshop on Cloud Computing by “Cloud Computing Indonesia”

Venue: Main Hall (Elang Room)

Saturday, Sep 23 15:40-17:20 Speakers:

- Utian Ayuba Keynote Speech I

Venue: Main Hall (Elang Room) Sunday, Sep 24

09:00-09:45 Speaker: Prof. Hironori Washizaki, Waseda University, Japan

Moderator: Dr. Eko Kuswardono Budiardjo Keynote Speech II

Venue: Main Hall (Elang Room) Sunday, Sep 24

10:00-10:45 Speaker: Prof. Rajkumar Buyya, University of Melbourne, Australia

Moderator: Denny, S.Kom., Ph.D.

Parallel Session I Big Data

Sunday, Sep 24 11:05-12:05

Session Chair:

- Adila Alfa Krisnadhi, Ph.D.

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21 (579) Automatic Open Domain Information Extraction from Indonesian Text

Yohanes Gultom, Wahyu Catur Wibowo

(799) Implementation of Change Data Capture in ETL Process for Data Warehouse Using HDFS and Apache Spark

Denny

(802) Medical Entity Recognition using Conditional Random Fields (CRF) Algorithm Mirna Adriani

(704) On Pruning Strategies and Closure Checking of Closed Frequent Itemset Mining Algorithms Fatimah Audah Md Zaki

Parallel Session II Information Security

Venue: Breakout Room I (Board 1)

Sunday, Sep 24 11:05-12:05

Session Chair:

- Setiadi Yazid, Ph.D.

(779) Rijndael Cipher Optimization Using Low Complexity Serial Multiplier Based on Karatsuba Technology

Petrus Mursanto

(564) Enhanced Honey Encryption Algorithm for increasing message space against Brute force Attack

Khin Su Myat Moe

(798) On Preventing Bitcoin Transaction from Money Laundering in Indonesia:

Analysis and Recommendation on Regulations Abidzar Gifari, Bayu Anggorojati, Setiadi Yazid

(801) Low Power Wireless Network for Efficient Peatland Monitoring System Petrus Mursanto

Parallel Session III Information Security Venue:

Sunday, Sep 24 11:05-12:05

Session Chair:

- Bayu Anggorojati, Ph.D.

(758) An Efficient Detection and Mitigation Of Sinkhole Attack For WSN Using Multipath Routing Protocol

Mochamad Teguh Kurniawan, Setiadi Yazid

(804) An Efficient Secure ECG Compression Based on 2D-SPIHT and SIT Algorithm Grafika Jati

(782) How to Sign Multiple Versions of Digital Documents Amril Syalim, Kouichi Sakurai

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22 based Cryptography

Bayu Anggorojati, Ramzi Keynote Speech III

13:00-13:45 Speaker: Prof. Kim Kwangjo, KAIST, South Korea

Moderator: Bayu Anggorojati, Ph.D.

Keynote Speech IV

14:00-14:45 Speaker: Prof. Tsukasa Hirashima, Hiroshima University, Japan

Moderator: Harry Budi Santoso, Ph.D.

Parallel Session IV Information Security

Sunday, Sep 24 15:30-16:15

Session Chair:

- Prof. Heru Suhartanto

(620) Wi-Fi Intrusion Detection System Based on Weighted Selection for Neural Networks Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja, Kwangjo Kim

(652) Improved Proxy Re-encryption Scheme for Symmetric Key Cryptography Amril Syalim, Takashi Nishide, Kouichi Sakurai

(665) Knowledge Sharing and Electronic Word of Mouth to Promote Information Security Awareness In Social Network Site

Puspita Kencana sari, Adhi Prasetio Parallel Session V

Big Data

Venue: Breakout Room I (Board 1)

Sunday, Sep 24 15:30-16:30

Session Chair:

- Fariz Darari, Ph.D.

(708) Improved Microarray Images Cancer Classification using K-Nearest Neighbor Optimized with Canonical Particle Swarm Optimization

Machmud Roby Alhamidi, Ito Wasito

(750) Improve Data Quality Through Big Data, Study Case: Big Data-Mobile Positioning Data on Indonesia Tourism Statistics

Ana Uluwiyah, Yazid Setiadi

(803) Optimization of Stacked Unsupervised Extreme Learning Machine to Improve Classifier Performance Dewa Made Sri Arsa, Muhammad Anwar Ma’sum, M. Febrian Rachmadi, Wisnu Jatmiko

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23 (819) A Real Time Vehicle Counting Based on Adaptive Tracking Approach for Highway Video

Muhammad Soleh, Grafika Jati, Ananti Tri Sangsoko, Wisnu Jatmiko Parallel Session VI

Big Data

Venue: Breakout Room II (Board 2)

Sunday, Sep 24 15:30-16:30

Session Chair:

- Denny, Ph.D.

(806) Enhance Generalized Learning Vector Quantization Using Unsupervised Extreme Learning Machine and Intelligent K-Means Clustering

Muhammad Anwar Ma’sum, Dewa Made Sri Arsa, Wisnu Jatmiko

(805) Block and Booth Floating Point Number Multiplication Algorithms in FPGA’s Generalized Learning Vector Quantization implementation

Yulistiyan Wardhana

(706) Hyperbolic Tangent Activation Function on FIMT-DD Algorithm Analysis for Airline Big Data

Machmud Roby Alhamidi, Ari Wibisono, Wisnu Jatmiko

(818) Comparative Analysis of Ant Colony Extended and Mix-Min Ant System in Software Project Scheduling Problem

Muhammad Anwar Ma’sum Keynote Speech V

Sunday, Sep 24 16:30-17:10 Speaker: Dr. Setia Pramana, STIS, Indonesia

Moderator: Fariz Darari, Ph.D.

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PRESENTER’S SCHEDULE

A

Abidzzar Gifari

On Preventing Bitcoin Transaction from Money Laundering in Indonesia: Analysis and Recommendation on Regulations

Breakout Room I

(Board 1) Parallel Session II

11.35-11.50 Sept 24 (Sun) Presenter 3

Amril Syalim

Improved Proxy Re-encryption Scheme for Symmetric Key Cryptography Main Hall (Elang

Room)

Parallel Session IV 15.45-16.00

Sept 24 (Sun) Presenter 2 How to Sign Multiple Versions of Digital Documents

Breakout Room II

(Board 2) Parallel Session III

Ana Uluwiyah

Improve Data Quality Through Big Data, Study Case: Big Data-Mobile Positioning Data on Indonesia Tourism Statistics

Breakout Room I (Board 1)

Parallel Session V 15.45-16.00

Sept 24 (Sun) Presenter 2

B

Bayu Anggorojati

Securing Communication in Inter Domains Internet of Things using Identity-based Cryptography Breakout Room II

(Board 2) Parallel Session III

D

Denny Denny

Implementation of Change Data Capture in ETL Process for Data Warehouse Using HDFS and Apache Spark

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25 Main Hall (Elang

Room) Parallel Session I

Dewa Made Sri Arsa

Optimization of Stacked Unsupervised Extreme Learning Machine to Improve Classifier Performance

Breakout Room I

(Board 1) Parallel Session V

F

Fatimah Audah Md Zaki

On Pruning Strategies and Closure Checking of Closed Frequent Itemset Mining Algorithms Main Hall (Elang

Room)

Parallel Session I 11.50-12.05

G

Grafika Jati

ECG Signal Compression by Using Preditive Coding And Set Partitioning in Hierarchical Trees (SPIHT) Breakout Room II

I

Ilung Pranata

Segmenting and Targetng Customers Through Clusters Selection & Anaysis Seminar Room (106) Parallel Session V

13.00-14.30 Sept 24 (Sat) Presenter 5

Indra Aulia

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

13.15-14.45 Sept 24 (Sat) Presenter 3

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K

Khin Su Myat Moe

Enhanced Honey Encryption Algorithm for increasing message space against Brute force Attack Breakout Room I

(Board I) Parallel Session II

M

Machmud Roby Alhamidi

Hyperbolic Tangent Activation Function on FIMT-DD Algorithm Analysis for Airline Big Data Breakout Room II

(Board 2) Parallel Session VI

Improved Microarray Images Cancer Classification using K-Nearest Neighbor Optimized with Canonical Particle Swarm Optimization

Breakout Room I

Mirna Adriani

Medical Entity Recognition using Conditional Random Fields (CRF) Algorithm Main Hall (Elang

Room) Parallel Session I

Mochamad Teguh Kurniawan

An Efficient Detection and Mitigation Of Sinkhole Attack For WSN Using Multipath Routing Protocol Breakout Room II

Muhammad Anwar Ma’sum

Enhance Generalized Learning Vector Quantization Using Unsupervised Extreme Learning Machine and Intelligent K-Means Clustering

Breakout Room II (Board 2)

Parallel Session VI 15.30-15.45

Sept 24 (Sun) Presenter 1 Comparative Analysis of Ant Colony Extended and Mix-Min Ant System in Software Project

Scheduling Problem Breakout Room II

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27 Muhamad Erza Aminanto

Wi-Fi Intrusion Detection System Based on Weighted Selection for Neural Networks Main Hall (Elang

Room) Parallel Session IV

Muhamad Soleh

A Real Time Vehicle Counting Based on Adaptive Tracking Approach for Highway Video Breakout Room I

P

Petrus Mursanto

Rijndael Cipher Optimization Using Low Complexity Serial Multiplier Based on Karatsuba Technology

Breakout Room I (Board 1)

Parallel Session II 11.05-11.20

Sept 24 (Sun) Presenter 1 Low Power Wireless Network for Efficient Peatland Monitoring System

Breakout Room I

(Board 1) Parallel Session II

Puspita Kencana Sari

Knowledge Sharing and Electronic Word of Mouth to Promote Information Security Awareness In Social Network Site

Main Hall (Elang

Room) Parallel Session IV

Y

Yohanes Gultom

Automatic Open Domain Information Extraction from Indonesian Text Main Hall (Elang

Room)

Parallel Session I 11.05-11.20

Yulistiyan Wardhana

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28 Block and Booth Floating Point Number Multiplication Algorithms in FPGA’s Generalized Learning

Vector Quantization implementation Breakout Room II

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