Advanced Program
ICACSIS 2017
2017 International Conference on Advanced Computer Science and Information Systems
October 28-29 th, 2017 Jakarta, Indonesia
KANTOR
PENGELOLAAN PRODUK
RISET & INOVASI
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CONFERENCE INFORMATION
Dates October 28th (Saturday) – October 29th (Sunday) 2017 Organizer Faculty of Computer Science, Universitas Indonesia
Venue Mercure Convention Centre Hotel
Jakarta Baycity Jl. Pantai Indah Ancol, Ancol, Pademangan Jakarta Utara, DKI Jakarta,
Indonesia 14430
Phone : +62-21-6406000 Fax : +62-21-6406123 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:
• Jain, Fellow IEEE, Michigan State University, US
• T. Fukuda, Fellow IEEE, Nagoya-Meijo University, JP
• M. Anis, Universitas Indonesia, ID
• M. Adriani, Universitas Indonesia, ID General Chairs:
• W.S. Nugroho, Universitas Indonesia, ID
• W. Jatmiko, Universitas Indonesia, ID Program Chairs:
• P.W Handayani, Universitas Indonesia, ID
• E. Rakun , Universitas Indonesia, ID Section Chairs:
• F.Y. Zulkifli, IEEE Indonesia Section, ID
• S. Dharmanto, IEEE Indonesia Section, ID Financial Chairs:
• H. R. Sanabila, Universitas Indonesia, ID Publication Chairs:
• A. Wibisono, Universitas Indonesia, ID Program Committees:
• A. Azurat, Universitas Indonesia, ID
• A. A. Krisnadhi, Universitas Indonesia, ID
• A. Basuki, Universitas Brawijaya, ID
• A. Kristijantoro, Institut Teknologi Bandung, ID
• A. Murni, Universitas Indonesia, ID
• A. N. Hidayanto, Universitas Indonesia, ID
• A. Purwarianti, Institut Teknologi Bandung, ID
• A. Tiu, Australian National University, AU
• A. Srivihok, Kasetsart University, TH
• A. Z. Arifin, Institut Teknologi Sepuluh Nopember, ID
• B. Anggorojati, Universitas Indonesia, ID.
• B. H. Widjaja, Universitas Indonesia, ID
• B. Hardian, Universitas Indonesia, ID
• B. Purwandari, Universitas Indonesia, ID
• B. Subagdja, Nanyang Technological University, SG
• E. Gaura, Coventry University, UK
• E. K. Budiarjo, Universitas Indonesia, ID
• E. Seo, Sungkyunkwan University, KR
• E. M. Imah, Universitas Negeri Surabaya , ID
• F. Ramdani, Universitas Brawijaya, ID
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• F. Utaminingrum, Universitas Brawijaya, ID
• F. Darari, Universitas Indonesia, ID
• H. Kurniawati, University of Queensland, AU
• H. Suhartanto, Universitas Indonesia, ID
• I. Budi, Universitas Indonesia, ID
• I. Wasito, Universitas Indonesia, ID
• L. Y. Stefanus, Universitas Indonesia, ID
• Marimin, Institut Pertanian Bogor, ID
• M. I. Fanany, Universitas Indonesia, ID
• M. Kyas, Reiykjavik University, IS
• M. Nakajima, Nagoya University, JP
• M. T. Suarez, De La Salle Univeristy, PH
• O. Lawanto, Utah State University, US
• P. Hitzler, Wright State Unversity, US
• P. Mursanto, Universitas Indonesia, ID
• R. M. Salleh, Universiti Tun Hussein Onn Malaysia, MY
• S. Bressan, National University of Singapore, SG
• S. Nomura, Nagaoka University of Technology, JP
• S. Sharif, Universiti Utara Malaysia, MY
• S. Yazid, Universitas Indonesia, ID
• T. Gunawan, International Islamic University Malaysia, MY
• T. Hardjono, Massachusetts Institute of Technology, US
• W. C. Wibowo, Universitas Indonesia, ID
• W. F. Mahmudy, Universitas Brawijaya, ID
• W. Prasetya, Universiteit Utrecht, ND
• W. S. Nugroho, Universitas Indonesia, ID
• W. Sediono, International Islamic University Malaysia, MY
• Y. G. Sucahyo, Universitas Indonesia, ID
• X. Li, The University of Queensland, AU
• Y. K. Isal, Universitas Indonesia, ID
• Z.A. Hasibuan, Universitas Indonesia, ID
• Z. Zyada, Universiti Teknologi Malaysia, MY Local Organizing Committee:
• A. Parastry, Universitas Indonesia, ID
• A.R. Rachmasari, Universitas Indonesia, ID
• D.M Sriarsa, Universitas Indonesia, ID
• G. Jati, Universitas Indonesia, ID
• I.G.W. Suryadharma, Universitas Indonesia, ID
• M. Anwar Ma’sum, Universitas Indonesia, ID
• M. Soleh, Universitas Indonesia, ID
• M. Roby, Universitas Indonesia, ID
• N. Fazriah, Universitas Indonesia, ID
• S. C. Purbarani, Universitas Indonesia, ID
• Z. Anshori, Universitas Indonesia, ID
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VENUE MAP
Mercure Convention Centre Ancol Hotel
Jakarta Baycity, Jl. Pantai Indah Ancol, Ancol, Pademangan, Ancol
Jakarta Utara, DKI Jakarta, Indonesia 14430
Google Maps Link
https://goo.gl/maps/9xGcaDQyTdD2
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Venue Map
Ground Floor of Mercure Convention Centre Ancol Hotel
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Venue Map
First Floor of Mercure Convention Centre Ancol Hotel
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REGISTRATION
Registration Fee
Accepted Paper USD 500 (International) IDR 4.000.000 (Domestic) Additional Page USD 10 (per page) Participant USD 150 (International)
IDR 1.000.000 (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 28th, 2017-CONFERENCE
Time Event Event Details Rooms
07.30-08.30 Registration
Pelangi Room 08.30-08.35
Opening Ceremony
Opening speech from the General Chair of ICACSIS 2017,
( Widijanto S. Nugroho, Ph.D.)
08.35-08.40
Opening speech from the Dean of Faculty of Computer Science Universitas Indonesia (Mirna Adriani, Ph.D)
08.45-08.50
Opening Speech from the Rector Universitas Indonesia
(Prof. Muhammad Anis)
08.50-09.00 ICACSIS Photo Session
09.00-09.45 Assoc. Prof. Dr. Taku Komura
from University of Edinburgh, UK
09.45-10.00 Coffee Break
10.00-11.30 Parallel Session I:
Three Parallel Sessions
Kayangan 1 Room, Putri 2 Room, and Batavia 1 Room
11.30-13.00 Lunch
13.00-14.30 Parallel Session II: Three Parallel Sessions
Kayangan 1 Room, Putri 2 Room, and Batavia 1 Room
14.30-14.45 Coffee Break
14.45-15.30 Plenary Speech II Prof. Heru Suhartanto
from Universitas Indonesia, ID Pelangi Room
15.30-16.15 Plenary Speech III Prof. Norimichi Ukita
from Toyota Technological Institute, JP Pelangi Room 16.15-17.45 Parallel Session III:
Three Parallel Sessions
Kayangan 1 Room, Putri 2 Room, and Batavia 1 Room
19.00-21.00 Gala Dinner Pulau Bidadari
Room
9 Sunday, October 29th, 2017-CONFERENCE
Time Event Event Details Rooms
07.30-08.00 Registration
08.00-09.30 Parallel Session IV: Three Parallel Sessions
Kayangan 1 Room, Putri 2 Room, and Batavia 1 Room
09.30-09.45 Coffee Break
09.45-10.30 Plenary Speech IV
Jan Pidanic, Ph.D
from Univerzita Pardubice, CZ Pelangi Room
10.30-12.00 Parallel Session V: Three Parallel Sessions
Kayangan 1 Room, Putri 2 Room, and Batavia 1 Room
12.00-13.00 Lunch
13.00-14.30 Parallel Session VI: Three Parallel Sessions
Kayangan 1 Room, Putri 2 Room, and
Batavia 1 Room
14.30-14.45 Coffee Break
14.45-15.30 Plenary Speech V Assoc.Prof. David Taniar
from Monash University, AU Pelangi Room 15.30-16.15 Plenary Speech VI Prof. Xue Li
from Queensland University, AU Pelangi Room 16.15-16.30
Closing Ceremony (Awards
Announcement and Photo Session)
Awards Announcement from the General Chair of ICACSIS 2017, (Prof. Wisnu Jatmiko)
Pelangi Room
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KEYNOTE SPEAKER
• Taku Komura, University of Edinburgh, UK
• David Taniar, Monash University, AU
• Norimichi Ukita, Toyota Technological Institue, JP
• Xue Li, University of Queensland, AU
• Jan Pidanic, University of Padubrice, CZ
• Heru Suhartanto, Universitas Indonesia, ID
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FOCUS GROUP DISCUSSION
Saturday, October 28th, 2017
Time Event Event Details Room
10.00-10.10
Focus Group Discussion:
The Role of ICT on Indonesian Maritime
Opening Focus Group Discussion
Putri 1 Room
10.10-10.40 Presentation from Badan Keamananan
Laut Republik Indonesia
(Director of Research and Development, Indonesian Coast Guard)
Kombes Pol Drs. E. Brata Mandala
10.40-11.10 Presentation from Faculty of Computer
Science, Universitas Indonesia
Adila Alfa Krisnadhi, S.Kom., M.Sc., Ph.D
11.10-12.00 Open Discussion
13.00-13.10
Focus Group Discussion:
Integrated Telehealth System ( Challenges, Prospects and Benefits)
Opening Focus Group Discussion
13.10-14.00 Presentation from Faculty of Medicine
1. Dr. dr. Budi Wiweko, SpOG(K) ( IMERI / Indonesian Medical Education and Research Institute ) 2. dr. Sunu Budhi Raharjo, SpJP, PhD,
FIHA
(Department of Cardiology and Vascular Medicine, Faculty of Medicine UI)
3. Dr. dr. Ari Waluyo, SpOG (Expert on Obstetrics and Gynecology)
4. Dr. Benny Zulkarnain, Sp.Rad (K) (Department of Radiology, Faculty of Medicine UI)
5. Ir. Edrial N.Eddin, MBA (Medical Technology Cluster, Faculty of Medicine UI)
14.00-15.00 Open Discussion
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Learning Representations for Character Motion Synthesis
Taku Komura
University of Edinburgh, United Kingdom Abstract
In this talk I will present about two different directions about character motion synthesis. I first briefly talk about our previous exploration of hand-crafted features for synthesis and retargeting of motions that involve close interactions. Here we make use of topological/geometric notions such as Gauss linking numbers and Laplacian coordinates as invariant criteria that are useful for guiding movements or preserving spatial relations between the body parts when retargeting movements. Next, I will talk about our recent work where we make use of neural networks to learn from a large amount of motion capture data and its application to character motion synthesis. By conducting temporal convolution, we construct an autoencoder of human motion that are useful for motion denoising and editing. We then further regress user inputs such as lines drawn on the ground or end effector trajectories to the full body motion via the autoencoder, which can significantly simplify the production process of character animation. I also introduce the phase-functioned neural network where we regress the geometry of the environment as well as the user inputs to the character motion for real-time character control, which can be applied for computer games and robot control. Finally, I will discuss about the potential interesting directions to explore for representation learning in human motion.
Profile
Taku Komura is a Reader (Associate Professor) at the Institute of Perception, Action and Behavior, School of Informatics, University of Edinburgh. As the leader of the Computer Animation and Robotics Group his research has focused on data-driven character animation, physically-based character animation, crowd simulation, cloth animation, anatomy-based modelling, and robotics. Recently, his main research interests have been the application of neural networks for animation synthesis. He is a recipient of the Royal Society Industry Fellowship (2014) and the Google AR/VR Research Award (2017).
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Human Pose Estimation using Motion Priors and Ensemble Models
Norimichi Ukita
Toyota Technological Institute, Japan Abstract
Human pose estimation in images and videos is one of key technologies for realizing a variety of human activity recognition tasks (e.g., human-computer interaction, gesture recognition, surveillance, and video summarization).
This paper presents two types of human pose estimation methodologies; 1) 3D human pose tracking using motion priors and 2) 2D human pose estimation with ensemble modeling.
Profile
Norimichi Ukita is a Professor of Toyota Technological Institute, Japan (TTI-J). After he received the Ph.D degree in Informatics from Kyoto University in 2001, he worked at Nara Institute of Science and Technology as Assistant and Associate Professors and at Carnegie Melon University as Visiting research Scientist. His major research areas are multi-object tracking, human pose estimation, and human activity recognition in images and videos.
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Big Data Is All About Data That We Don’t Have
David TaniarMonash University, Australia Abstract
Big Data is now becoming a buzzword in information technology industry and research. Is Big Data only about large volume of data ?, and if it is yes, why is it suddenly becoming a trend? Hasn’t the growth of data volume been gigantic in the last decade? From a research point of view, it is not surprising to see researchers from all walks of computer science are trying to align their research to Big Data for the sake of being trendy. The question remains whether it tackles the real Big Data problems. This paper describes the misconceptions of Big Data, presents motivating cases, and discusses the unavoidable challenges faced by industry and research.
Profile
David Taniar holds Bachelor, Master, and PhD degrees – all in Computer Science, with a particular specialty in Databases. His research is in the area of data management, particularly big data processing, parallel database processing, spatial and Geographical Information Systems, data warehousing and mining. Every year he publishes extensively, including his recent co-authored book: High Performance Parallel Database Processing and Grid Databases (John Wiley & Sons, 2008)..
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Learning from Medical and Healthcare Data
Xue Li and Heru SuhartantoQueensland University, Australia Abstract
In medical research and healthcare, there are many large data sets which are related to each other in terms of the clinical trials, medical research publications, Electronic Health Records (EHR), annual health check-up records, and patient bed-side monitoring data. In this talk, we discuss our case studies and experiments on how we can connect the relevant medical and health data sets together to rank the most influential treatments for diseases, to predict the health states for ageing individuals, or to predict the risks of hospital patients. A graph-based data fusion approach will be introduced to represent the different types of relationships among data items and learn from data for predictions.
Profile
Xue Li is a Professor in DKE (Data and Knowledge Engineering) Division, School of Information Technology, the University of Queensland in Australia. He obtained a BSc in Computer Science in Chongqing University, China in 1982, a MSc in the University of Queensland in 1989, and a PhD in Information Systems in QUT 1997. His research interests are in data mining, intelligent information systems, and social computing. He has over 160 publications as monograph, edited books, book chapters, and journal and conference papers. He led his research team won prizes awarded by Google, Microsoft, International conferences, and the Australian Government in recent years. He was recognized as one of the Top-50 "Most Powerful People in Australia" in 2015 by Australian Financial Review. He has successfully supervised 17 PhD candidates to completion as their Principal Supervisor. He is currently a Chief Investigator for three ARC (Australian Research Council) Funding Projects. He is an Associate Editor of Journal of Advanced Internet of Things.
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The Analysis of Wind Farm Impact in Primary Radar System
Jan PidanicUniversity of Pardubice, Czech Republic Abstract
In the last three decades, the sources of renewable energy have started to play an important role in our lives due to increasing prices of the traditional sources of energy (such as oil, black/brown coal etc.) and because of protection of the environment from global warming. One of the most important sources of renewable energy is wind. At present, the power of installed wind turbine, achieves almost 500.000 MW worldwide. Unfortunately, for radar systems, wind turbines are a big source of clutter that can negatively influence the behavior of the detection capabilities of radar systems, or even totally “blind” radar systems. The problematic of mitigation of the influence of the wind turbines on radar systems is highly variable and depends on parameters of the wind turbines and radar systems. The main negative parameters of wind turbines are large Radar Cross Sections and Doppler shift spread of reflected signals. For the determination of general mitigation techniques, it is important to make a deep analysis of the different types of scenarios using a developed simulator of reflected signals from a wind turbine. The bulk of the influence on the primary radar systems is highly variable and depends on the wind turbine parameters. Our research is focused on developing universal simulator of reflected signals from wind power and wind farm and subsequent analysis.
Profile
Jan Pidanic has an academic career spanning over more than 10 years, most of which he has spent working in the domains of active/passive radar system signal processing, parallel programming techniques, developing of algorithms for signal processing and radiomonitoring. He works in the University of Pardubice, Faculty of Electrical Engineering and Informatics, Czech Republic, where he is currently the Head of the Department of Electrical Engineering. He has published more than 25 papers indexed in WoS and 35 papers indexed in Scopus database. He cooperates with industry in more than 10 projects focused on radars problematic. He is a Member of the IEEE and a member of the conferences Committee ELMAR, Radioelektronika.
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TECHNICAL PROGRAM ICACSIS 2017
Opening Ceremony
Venue: Pelangi Room, 1st Floor
Oct 28 (Sat) 08.30-08.50 Opening Ceremony
Plenary Speech I
Venue: Pelangi Room 1st Floor
Oct 28 (Sat) 08.50-09.45 Learning Representations for Character Motion Synthesis
Plenary Speech by Assoc. Prof Taku Komura University of Edinburgh, United Kingdom
Parallel Session I
Computer Networks and High Performance Computing Venue: Kayangan 1 Room , 1st Floor
Oct 28 (Sat) 10.00-11.30
(733) Perform evaluation of IoT middleware for syntactical Interoperabilit Eko Sakti Pramukantoro, Widhi Yahya, Fariz Andri Bakhtiar
(793) Hexapod Leg Coordination using Simple Geometrical Tripod-Gait and Inverse Kinematics Approach
Karlisa Priandana, Agus Buono, Wulandari
(715) Past, Present, and Future Trend of GPU Computing in Deep Learning on Medical Images Toto Haryanto
(809) Bhattacharyya Distance-based Tracking: A Vehicle Counting Application Jatmiko Budi Baskoro, Ari Wibisono, Wisnu Jatmiko
Parallel Session I
Digital Library and Distance Learning Venue: Putri 2 Room, 1st Floor
Oct 28 (Sat) 10.00-11.30 (638) Analysis of Factors Affecting Users Continuance Intention of e-Resources at The University of Indonesia Library: IEEE Xplore Digital Library case study
Wiwit Ratnasari, Dana Indra Sensuse
(649) Assessing Students E-Learning Competencies in Online Learning Environment Lia Sadita
(695) Completing Cultural Heritage Information through Selective Crowdsourcing Alex C. Olivieri, Shaban Shabani, Zhan Liu , Maria Sokhn
18 (698) Improving e-Learning through Knowledge Management
Dana Indra Sensusea, Pudy Primaa, Muhammad Mishbaha, Pristi Sukmasetyaa Parallel Sessions I
Machine Learning and Computer Vision Venue: Batavia 1 Room, 1st Floor
Oct 28 (Sat) 10.00-11.30
(789) Bootstrap Aggregating of Classification and Regression Trees in Identification of Single Nucleotide Polymorphisms
Lailan Sahrina Hasibuan, Nurul Hudachair, Muhammad Abrar Istiadi (751) Residual Convolutional Neural Network for Diabetic Retinopathy
Syahidah Izza Rufaida
(808) Prediction of Bitcoin Exchange Rate to American Dollar Using Artificial Neural Network Methods Arief Radityo, Qorib Munajat, Indra Budi
(807) Continuous Conditional Random Fields in Predicting High-Dimensional Data Sumarsih Condroayu Purbarani
Parallel Sessions II
Machine Learning and Computer Vision Venue: Kayangan 1 Room , 1st Floor
Oct 28 (Sat) 13.00-14.30
(787) An Initial Exploration of the Suitability of Long-Short-Term-Memory Networks for Multiple Site Fatigue Damage Prediction on Aircraft Lap Joints
Muhammad Ihsan Mas, Mohamad Ivan Fanany, Timotius Devin, Lintang A. Sutawika (781) Ensemble Learning for Protein Secondary Structure Analysis
Syam B. Iryanto, Taufik Djatna, Toto Haryanto
(774) Comparison Study of Machine Learning Algorithm for Epileptic Seizure Classification on EEG Signals
Elly Matul Imah
(772) Feature Selection using Sequential Forward Floating Selection with Two Selection Criteria Dani Setiawan, Wisnu Ananta Kusuma, Aji Hamim Wigena
Parallel Sessions II
Machine Learning and Computer Vision Venue: Putri 2 Room, 1st Floor
Oct 28 (Sat) 13.00-14.30 (763) Differentially Private Optimization Algorithms for Deep Neural Networks
Roan Gylberth, Risman Adnan, Setiadi Yazid, T. Basaruddin
19 (555) Automatic Land Cover Classification of Geotagged Images using ID3, Naïve Bayes and Random Forest
M. Octaviano Pratama, Aniati Murni Arymurthi
(759) Sentence-level Indonesian Lip Reading with Spatiotemporal CNN and Gated RNN Muhammad Rizki Aulia Rahman Maulana, Mohamad Ivan Fanany
(744) MobiAugmented Reality: Studio Lighting Photography Simulator ver.1.0 Setya Chendra Wibawa, D. S. Katmitasari, A. Prapanca, M.S. Sumbawati Parallel Sessions II
E-Government and E-Business Venue: Batavia 1 Room, 1st Floor
Oct 28 (Sat) 13.00-14.30
(797) Smart Government Assessment Using Scottish Smart City Maturity Model: A Case Study of Depok City
Muhammad Akmal Juniawan, Puspa Sandhyaduhita, Betty Purwandari, Satrio Baskoro Yudhoatmojo, Made Ayu Aristyana Dewi
(544) Influencing Factors of Consumer Purchase Intention Based on Social Commerce Paradigm M. Octaviano Pratama, Ruci Meiyanti, Handrie Noprisson, Arief Ramadhan, Achmad Nizar Hidayanto
(683) Analysing the Critical Factors Influencing Consumers E-Impulse Buying Behavior
Made Ayu Aristyana Dewi, Isnaeni Nurrohmah, Nitto Sahadi, Dana Indra Sensuse, Handrie Noprison
(747) An empirical examination of factors affecting the behavioral intention to use online transportation service: Case study of GRAB
Rizky Septiani, Putu Wuri Handayani, Fatimah Azzahro Plenary Speech II
Venue: Pelangi Room, 1st Floor
Oct 28 (Sat) 14.45-15.30 Topic on e-Health
Prof. Heru Suhartanto
Universitas Indonesia, Indonesia
Plenary Speech III
Venue: Pelangi Room, 1st Floor
Oct 28 (Sat) 15.30-16.15 Human Pose Estimation using Motion Priors and Ensemble Models
Prof. Norimichi Ukita
Toyota Technological Institute, Japan
20 Parallel Sessions III
Information Management
Venue: Kayangan 1 Room , 1st Floor
Oct 28 (Sat) 16.15-17.45 (746) Latent Variable Reconstruction in Determining Student Single Tution Fee Category with Confirmatory Factor Analysis Approach
Wiyli Yustanti
(571) Contribution of Remote Sensing Landsat 8 TIRS Images for the Geothermal Resources Estimation in West Sumatera
Yuhendra
(800) Evaluating the implementation of open data principles on government websites in Indonesia Widia Resti Fitriani, Achmad Nizar Hidayanto, Betty Purwandari, Bobby A. A. Nazief, Bob Hardian (792) Continuance Usage Intention and Intention To Recommend on Information Based Mobile Application A technological and user experience perspective
Nurlina Setyawan, Muhammad Rifki Shihab, Achmad Nizar Hidayanto, Ave Adriana Pinem
Parallel Sessions III
Machine Learning and Computer Vision Venue: Putri 2 Room, 1st Floor
Oct 28 (Sat) 16.15-17.45
(735) Data-driven Fuzzy Rule Extraction for Housing Price Prediction in Malang, East Java Ruth Ema Febrita, Adyan Nur Alfiyatin, Hilman Taufiq, Wayan Firdaus Mahmudy (670) Assessing Data Veracity through Domain Specific Knowledge Base Inspection
Alex C. Olivieri, Shaban Shabani, Maria Sokhn, Philippe Cudr´e-Mauroux
(625) Optimization of FIS Tsukamoto using Particle Swarm Optimization for Dental Disease Identification
Diny Melsye Nurul Fajri, Wayan Firdaus Mahmudy, Yusuf Priyo Anggodo
(630) Detection Precursor of Sumatra Earthquake Based on Ionospheric Total Electron Content Anomalies using N-Model Articial Neural Network
Bernadus Anggo Seno Aji, The Houw Liong, Buldan Muslim
Parallel Sessions III
Machine Learning and Computer Vision Venue: Batavia 1 Room, 1st Floor
Oct 28 (Sat) 16.15-17.45
(760) Indonesian Audio-Visual Speech Corpus for Multimodal Automatic Speech Recognition Muhammad Rizki Aulia Rahman Maulana, Mohamad Ivan Fanany
21 (668) A Classification Method using Deep Belief Network for Phonocardiogram Signal Classification
Moh. Faturrahman, Ito Wasito, Fakhirah Dianah Ghaisani, Ratna Mufidah
(729) Genetic Algorithm for Optimizing FIS Tsukamoto for Dental Disease Identification Triando Hamonangan Saragih, Wayan Firdaus Mahmudy, Yusuf Priyo Anggodo (674) Learning Explicit and Implicit Knowledge with Differentiable Neural Computer
Adnan Ardhian, Mohamad Ivan Fanany Parallel Session IV
Reliable Software Engineering Venue: Kayangan 1 Room , 1st Floor
Oct 29 (Sun) 08.00-09.30
(791) Feature Grouping Using Abstract Behavioral Specification Language Reza Mauliadi, Ade Azurat, Radu Muschevici, Maya R.A Setyautami
(643) Information System Architecture Design as Part of Enterprise Architecture Development Rumata Romaida Marsaulina Silaban, Yudho Giri Sucahyo
(697) Extending Automated Analysis of Feature Models in Abstract Behavioral Specification Adriyan Chairul Achda, Ade Azurat, Radu Muschevici, Maya R.A Setyautami
(719) Tabling in Contextual Abduction with Answer Subsumption Syukri Mullia Adil Perkasa, Ari Saptawijaya, Lu´ıs Moniz Pereira
Parallel Session IV Information Retrieval
Venue: Putri 2 Room, 1st Floor
Oct 29 (Sun) 08.00-09.30
(621) Contextual Keyword Spotting in Lecture Video With Deep Convolutional Neural Network Muhammad Bagus Andra, Tsuyoshi Usagawa
(639) Punishment Provision Extraction From Indonesian Law Texts With Knowledge Acquisition Rules Budi Hartadi, Indra Budi
(688) Multiclass SMS Message Categorization: Beyond Spam Binary Classification Mohamad Dwiyan Rahmanianto
(753) Further Studies of DBpedia Entities Expansion in Automatically Building Dataset for Indonesian NER
Ika Alfina, Septiviana Savitri, Mohamad Ivan Fanany
22 Parallel Session IV
Information Management Venue: Batavia 1 Room, 1st Floor
Oct 29 (Sun) 08.00-09.30
(754) Social Media Strategy for Government Information Services: A Case of the Ministry of Education and Culture in Indonesia
Nur Widiyanto, A.N. Hidayanto, Puspa I. Sandhyaduhita, Nur Fitriah A. Budi
(686) Factors Influencing Citizen Intention to Participate Electronically: The Perspectives of Social Cognitive Theory and E-Government Service Quality
Khoirunnida
(679) Investigating Mobile Payment Acceptance Using TechnologicalPersonal-Environmental (TPE) Framework: A Case of Indonesia
Khalila Hunafa, A. Nizar Hidayanto, Puspa Sandhyaduhita
(631) Knowledge Sharing Motivation in E-Commerce Online Community Septiani Andriane Sinaga, Putu Wuri Handayani, Ave Adriana Pinem
Plenary Speech IV
Venue: Pelangi Room, 1st Floor
Oct 29 (Sun) 09.45-10.30 The Analysis of Wind Farm Impact in Primary Radar System
Jan Pidanic, Ph.D
Univerzita Pardubice, Czech Republic Parallel Session V
Machine Learning and Computer Vision Venue: Kayangan 1 Room , 1st Floor
Oct 29 (Sun) 10.30-12.00
(563) Intuitionistic Fuzzy Hedges Modeling for Supplier Selection of Responsive Agroindustrial Multi Products Supply Chains in Small and Medium Enterprises
Taufik Djatna, Rohmah Luthfiyanti, Akmadi Abbas
(549) Kidney Transplant Classification with Gene Expression Profiles using L1 Feature Selection Ensemble Classifier based on Data Clustering
M Octaviano Pratama
(611) Restricted Boltzmann Machines for Unsupervised Feature Selection with Partial Least Square Feature Extractor for Microarray Datasets
Lintang Adyuta Sutawika
(676) Sleep Stage Classification using Convolutional Neural Networks and Bidirectional Long Short-Term Memory
Intan Yulita
23 Parallel Session V
Information Retrieval and Information Management Venue: Putri 2 Room, 1st Floor
Oct 29 (Sun) 10.30-12.00
(784) Corpus Development for Indonesian Consumer-Health Question Answering System Rahmad Mahendra
(785) Named Entity Recognition on Indonesian Twitter Posts using Long Short-Term Memory Networks Valdi Rachman, Septiviana Savitri, Fithriannisa Augustianti, Rahmad Mahendra
(794) Detecting Hate Speech on Tweets in Indonesian Language Using Machine Learning Approach Ika Alfina, Rio Mulia, Mohamad Ivan Fanany, Yudo Ekanata
(678) Analysing the Critical Factors Influencing Consumers Knowledge Sharing Intention in Online Communities and Its impact on Consumer Product Involvement, Product Knowledge and Purchase Intention
Made Ayu Aristyana Dewi, Nadia Nur Annisa, Pamela Kareen, Anissa Edwita, Dana Indra Sensuse
Parallel Session V General Paper
Venue: Batavia 1 Room, 1st Floor
Oct 29 (Sun) 10.30-12.00
(788) Implementation of An Ant Colony Approach to Solve Multi-Objective Order Picking Problem in Beverage Warehousing with Drive-in Rack System
Taufik Djatna, M Zaky Hadi
(743) ABS Microservices and Ontology-Zotonic Integration for SPL Implementation in Information System
Andri Kurniawan, Iis Afriyanti, Ade Azurat
(734) Analysis of Online Testing As An Alternative Evaluation Tools in Higher Education (Case Study In Malang, Indonesia)
Faizatul Amalia, Admaja Dwi Herlambang
(726) Geometric Time Variant Particle Swarm Optimization With Fuzzy, AHP For Pomology Plant Recommendation
Maulana Putra Pambudi, Imam Cholissodin, Candra Dewi Parallel Session VI
Machine Learning and Computer Vision Venue: Kayangan 1 Room , 1st Floor
Oct 29 (Sun) 13.00-14.30 (680) Faster R-CNN with Structured Sparsity Learning and Ristretto for Mobile Environment
Muhammad Nasution
24 (690) Shoreline Change Detection Based on Multispectral Images Using 2D-Principal Component Analysis of Band Images And Histogram of Oriented Gradient Features
I Gede Wahyu Surya Dharma, Aniati Murni Arymurthy
(707) Voxel-Based Irregularity Age Map for Brain's White Matter Hyperintensities in MRI Muhammad Febrian Rachmadi, Maria del C. Vald´es-Hern´andez, Taku Komura
(713) Cancer Lungs Detection on CT Scan Image Using Artificial Neural Network Backpropagation Based Gray Level Coocurrence Matrices Feature
Lilik Anifah
Parallel Session VI
Machine Learning and Computer Vision, and General Paper Venue: Putri 2 Room, 1st Floor
Oct 29 (Sun) 13.00-14.30 (714) Classification of Diabetic Retinopathy Through Texture Features Analysis
Bariqi Abdillah, Alhadi Bustamam, Devvi Sarwinda
(728) Extracting Fuzzy Rules and Parameters Using Particle Swarm Optimization for Rainfall Forecasting Tirana Noor Fatyanosa, Fatwa Ramdani
(647) Estimating the Collected Funding Amount of the Social Project Campaigns in a Crowdfunding Platform
Galuh Tunggadewi Sahid, Ivana Putri, Intan Sari Septiana, Rahmad Mahendra
(672) Forest Change Analysis using OBIA approach and Supervised Classification, A case study : Kolaka District, South East Sulawesi
Rinda Wahyuni
Parallel Session VI
Reliable Software Engineering and General Papers Venue: Batavia 1 Room, 1st Floor
Oct 29 (Sun) 13.00-14.30
(745) Intelligent Agents via Joint Tabling of Logic Program Abduction and Updating Ammar Fathin Sabili, Ari Saptawijaya, Lu´ıs Moniz Pereira
(756) Bringing Answer Set Programming to the Next Level: a Real Case on Modeling Course Timetabling Irvi Firqotul Aini, Ari Saptawijaya, Siti Aminah
(757) Concept Representation as Artifact Development Method Automation Enabler Bayu Tenoyo, Petrus Mursanto, Harry Budi Santoso
(722) Constructing Transitive Closure on Multigraph with Adjacency Hyperedges Matrix Heru Suhartanto
25 Plenary Speech V
Venue: Pelangi Room, 1st Floor
Oct 29 (Sun) 14.45-15.30 Big Data Is All About Data That We Don’t Have
David Taniar, Ph.D
Monash University, Australia Plenary Speech VI
Venue: Pelangi Room, 1st Floor
Oct 29 (Sun) 15.30-16.15 Learning from Medical and Healthcare Data
Prof. Xue Li
Queensland University, Australia
Closing Ceremony
Venue: Pelangi Room, 1st Floor
Oct 29 (Sun) 16.15-16.30 Closing remarks by Prof. Wisnu Jatmiko
