Program

Time (Jakarta) Ballroom Kresna Room A: Yudhistira Room B: Bima Room C: Arjuna Room D: Nakula Room E: Sadewa

Tuesday, August 3

08:15-08:30 Soft Opening          
08:30-09:30 Keynote Speech #1          
09:30-11:30 Tutorial Session #1          
12:30-13:30 Keynote Speech #2          
13:30-14:30 Keynote Speech #3          
14:45-17:45   Birds of a Feather #1 Birds of a Feather #2 Birds of a Feather #3 Birds of a Feather #4 Birds of a Feather #5

Wednesday, August 4

08:00-08:10 Greetings and Video Presentation          
08:10-08:20 Welcoming Speech by General Chair of ICoICT 2021          
08:20-08:25 Speech by Universitas Gadjah Mada          
08:25-08:30 Speech by Multimedia University          
08:30-08:35 Speech by IEEE-Indonesia Section          
08:35-08:40 Opening Speech by Rector of Telkom University          
08:45-09:45 Keynote Speech #4          
09:45-10:45 Knowledge Transfer          
11:00-12:40 Tutorial Session #2 1A: Applications for post-pandemic recovery 1B: Computer Vision 1C: Data Science 1D: E-Learning and HCI 1E: Healthcare, Bioinformatics, and Biomedical Applications
12:40-13:00          
14:00-15:20 Tutorial Session #3 2A: Networking, IoT, and Security 2B: Computer Vision 2C: Data Science 2D: E-Learning and HCI 2E: Healthcare, Bioinformatics, and Biomedical Applications
15:20-15:40  
15:40-16:00          
16:00-17:00 Keynote Speech #5          
17:00-18:00 Keynote Speech #6          
18:00-18:10 Closing day 2          

Thursday, August 5

08:00-08:15 Opening day 3          
08:15-09:15 Tutorial Session #4 3A: Networking, IoT, and Security 3B: Computer Vision 3C: Data Science 3D: E-Learning and HCI 3E: Healthcare, Bioinformatics, and Biomedical Applications
09:15-09:35  
09:35-09:55    
09:55-10:15          
10:15-11:35 Tutorial Session #5 4A: Networking, IoT, and Security 4B: Computer Vision 4C: Data Science 4D: E-Learning and HCI 4E: Networking, IoT, and Security
11:35-11:55  
11:55-12:15        
13:15-14:55   5A: Networking, IoT, and Security 5B: Data Science 5C: Data Science 5D: Data Science 5E: Data Science
15:30-16:30 Keynote Speech #7          
16:30-17:30 Keynote Speech #8          
17:30-17:35 Greetings          
17:35-17:45 Best paper award by ICoICT 2021 TPC Chair          
17:45-17:50 ICoICT 2022 presentation          
17:50-17:55 Closing Ceremony          

Soft Opening

Soft opening by Dean of School of Computing, Telkom University (Dr. Z K Abdurahman Baizal, S.Si., M.Kom.)

Keynote Speech #1

Why Does the Cloud Stop Computing? Lessons from Thousands of Bug Reports, Service Outages, and Anecdotal Evidence (Haryadi S. Gunawi, Ph.D - University of Chicago)

Cloud computing, "the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a personal computer," has fundamentally changed the way society performs daily businesses and social activities. Emails, text and video chats, picture and video sharing, blogs and news, are all backed by a large complex collection of Internet services, which we refer as "the Cloud." As dependency on cloud computing increases, society demands high availability, an ideal 24/7 service uptime if possible. Yet, service outages are hard to escape from. Not only do outages hurt customers, they also cause financial and reputation damages. Minutes of service downtimes can create hundreds of thousands of dollar, if not multi-million, of loss in revenue. Company's stock can plummet after an outage. Sometimes, re- funds must be given to customers as a form of apology. As rivals always seek to capitalize an outage, millions of users can switch to another competitor, a company's worst nightmare.

Tutorial Session #1

Microsoft Education Transformation Framework for Higher Education - (Juneidi Tsai - Microsoft Indonesia)

Higher education institutions are complex and multifaceted organizations comprised of multiple departments that must work together to execute a successful vision. The Microsoft Education Transformation Framework enables a holistic look at the institution but provides you with the ability to develop your digital strategy in discrete phases, answering that all important question, "Where should I start?". The Microsoft Education Transformation Framework provides practical advice to help you develop a strategy for digital transformation with a holistic, long-term view implemented in discrete phases that you can begin today to help drive innovative student engagement, transform operations, and ensure a secure, connected campus to empower you to reimagine education.

Keynote Speech #2

Contact Tracing during Covid-19 Pandemic: An Australian Experience (Dr. David Taniar - Monash University)

Contact Tracing is the activity of retrieving historical activities and trips for a person where his presence at a specific location might affect other persons within a certain radius. In related to a contagious disease, an infected person might spread the pathogens to the nearby people during close contact that can trigger a chain reaction of community transmission. The biggest problem in obtaining the historical activities in a contact tracing procedure is privacy and security issues. The privacy issue refers to private-related sensitive information that is not meant to be shared with anyone. However, during a contact tracing investigation, the authorities have the right to know every detail from a suspected patient. The security issue refers to the safety of the shared private information to the authority. Due to these issues, many patients are reluctant to share their past activities to the authority. This condition makes it even harder to obtain the right information from the patients. The next consequence is that the spreading of the diseases will be off the radar since contact tracing could not be done correctly. Several methods have been proposed to help contact tracing procedures. In general, there are two types of contact tracing methods, proximity-based and trajectory-based. While the proximity-based method lacks historical trips and suffers from multi-platforms communication issues, trajectory-based suffers from privacy issues. This speech will discuss these methods together with their pros and cons. In conclusion, a method that can preserve privacy and retain the details of the trip will also be explained in this session as an alternative method to support contact tracing.

Keynote Speech #3

Covid-19 Vaccine Distribution : an example of Accelerating healthcare transformation (Soleh Ayubi, Ph.D - Bio Farma Indonesia)

Indonesia is severely impacted by COVID-19 with more than two million cases and a current thousand deaths a day. With a 270 million population living in 514 cities within 6,000 islands, it is a logistical nightmare for vaccine distribution. To navigate that challenge Bio Farma as a state-owned enterprise specialized in vaccine production and distribution has been collaborating with several technology companies coordinated by Telkom to develop a Supply Chain 4.0 system of COVID-19 vaccine distribution. A blessing in disguise, the 3-year stalled development of the Supply Chain 4.0 called Track and Trace system, was catalyzed by this pandemic. The system enables us to track and trace every vial of vaccine from the first mile of production pipeline to the last mile delivery at the clinic or hospital. The system applies a 2-D Data Matrix in vaccine vial, secondary package, and tertiary package which allows overall product identification, traceability, and authentication from end-to-end. Utilizing IoT sensors, the system steadily records the location and temperature of vaccines while being stored or transported to ensure vaccine quality until the last mile.The system is integrable with other monitoring such as senior leader's dashboard at the Ministry of Health, the Ministry of State-owned Enterprises, and other senior leader offices. This allows for well-orchestrated operations, fast response to the challenge in operations and data-driven decision making for both operations and strategies.

Birds of a Feather #1

Topic: E Learning (Host: Dr. Maya Ariyanti)

Birds of a Feather #2

Topic: AI and Bioinformatics for COVID-19 (Host: Afiahayati, Ph.D)

Birds of a Feather #3

Topic: Knowledge Management, Knowledge Representation and Reasoning (Host: Kemas Rahmat Shaleh, Ph.D)

Birds of a Feather #4

Topic: Artificial Intelligence of Things (AIoT): The intersection of AI and IoT (Host: Dr. Agus Hartoyo)

Birds of a Feather #5

Topic: Birds of a Feather #5 Digital footprints during COVID-19 pandemics (Host: Muhammad Johan Alibasa)

Greetings and Video Presentation

Welcoming Speech by General Chair of ICoICT 2021

Speech by Universitas Gadjah Mada

Speech by Dean of the Faculty of Mathematics and Natural Science, Universitas Gadjah Mada

Speech by Multimedia University

Speech by Dean of the Faculty of Information Science and Technology, Multimedia University

Speech by IEEE-Indonesia Section

Speech by Chair of IEEE Indonesia Section

Opening Speech by Rector of Telkom University

Keynote Speech #4

(Dr. Hammam Riza - Indonesian Agency for the Assessment and Application of Technology)

The Covid-19 pandemic is a health crisis that affects all aspects of people's lives, especially the economic aspect. We have now gotten used to the New Normal era, of course, with a high level of vigilance. All countries today are faced with the dilemma of how to restore socio-economic life, in the midst of efforts to stop the spread of Covid-19. Handling COVID-19 in Indonesia involves 3 important roles from stakeholders, namely: Government, Society, and Technology as enablers to facilitate the process of Testing, Tracing, Isolating, to Treatment. The government continues to strive to prepare some strategies for handling Covid-19, one of which is by establishing institutional synergies in the 'Task Force for Research and Technological Innovation for Handling Covid-19 (TFRIC-19) led by the Agency for the Assessment and Application of Technology (BPPT). Digital Transformation is the key to national economic recovery and helps deliver the "new normal" adaptation. This is in line with the President's mandate to expand access, improve infrastructure, accelerate the digital transformation roadmap and its regulations, including the preparation of digital talents. Another aspect that can also encourage increased economic recovery is the aspect of leadership through synergy and collaboration of all related entities. BPPT and TFRIC-19 have established a systematic and constructive ecosystem related to testing technology innovations and medical devices, including: the testing strategy is carried out by designing the RT-PCR test kit which is the golden standard for Covid-19 testing, then the Covid-19 Monitor application is designed which can map the movement of the virus through tracing suspects as carriers. The increase in testing needs is anticipated by building a level-2 biosafety mobile lab equipped with complete test instruments. Strengthening the prevention process is also carried out by preparing appropriate technology facilities and infrastructure in the form of innovative hand washing tools and disinfectant variants. In the realm of Treatment, an AI-based Medical Image Management diagnostic tool has been prepared to process X-Ray and CT-Scan data, which can be a solution for the uneven distribution of health tools and technology that can become an obstacle in the speed of establishing patient diagnoses under supervision. In the curative aspect, especially for Covid patients with severe symptoms who require respiratory aids, 3 variants of emergency ventilators are prepared, as needed. In the future, the plan for mapping the entire virus variant to identify virus profiling will be carried out through pattern recognition. This national genome research will later become a virtual asset for the development of big data and supercomputing to be able to carry out the process of monitoring data collection, mitigation and produce recommendations and strategic actions that will encourage the emergence of product innovations for handling Covid-19 and awaken national independence in the health sector. TRFRIC-19 Next generation will continue to be committed through 5 main actions, including: Action to strengthen economic and technological studies which include supply chain studies, supply demand studies, pre-commercialization studies, manufacturing industry readiness studies, TKDN studies, technology audits and innovation ecosystem map studies, Medical device technology innovation actions, including ICU ventilator innovations, Direct Digital Radiography (DDR), quantitative antibody levels measuring kits and Antigen Rapid Tests, Health supplement technology innovation actions, including fermented garlic-based health supplements, beta glucan-based health supplements and supplements in the form of nutrient dense biscuits. Actions to strengthen scientific data and applications of artificial intelligence, including AI Application Innovations for Covid-19 detection, Bioprospection Database of Medicinal Plants, Microbes and Compounds with Potential Drugs for Covid-19 and other infectious diseases, as Artificial Intelligence Data Sets, Actions to strengthen Cooperation, Commercialization and Media. This activity is expected to provide a positive estuary for product innovation actions developed by the innovation ecosystem. To create an independent Indonesia and help economic recovery during the Covid-19 pandemic.

Knowledge Transfer

Workforce Enablement in the New Normal of Post-Pandemic, Powered by Cloud Technology (Wu Shiwei - HUAWEI CLOUD - CTO of APAC Region)

The outbreak of pandemic was quite unexpected. Many digital solutions/innovations were put into place for emergency use only, without considering the long term impact, especially in supporting workforce; however it is becoming increasingly likely that we will be living in this new normal thus we need to rethink, redesign the initial solutions to enhance security, enrich features and improve user experience. In this session I will explore some typical digital solutions for workforce enablement and discuss how these types of technology may impact our work and life and what features that need to be enabled to become more sustainable.

Tutorial Session #2

Chest-wall motion tracking using Inertial Measurement Units (IMUs) (Dr. Bayu Erfianto - Telkom University, Indonesia))

Inertial Measurement Units (IMUs) is mostly embedded in wearable devices. Nowadays, IMUs motion tracking systems are allowing for long-lasting tracking of user motion in a situated environment. Instead of body motion tracking, on the other hand, wearing IMUs on the chest wall offers a few advantages, such as for cardiac activity parameters estimation and respiration parameter estimation. For example, current research shows that inertial sensors are low-cost and easy-to-use breathing-monitoring systems. Breathing parameters from chest-wall inclination signals are easily measured using IMU. This tutorial presents several techniques for IMUs based motion tracking to reconstruct chest wall motion with respect to angular velocity and linear acceleration. Several techniques for data or signal processing architectures are also discussed. This tutorial also tries to introduce the applications of chest-worn IMUs based motion tracking to estimate heart-rate, blood-pressure, and respiration rate.

1A: Applications for post-pandemic recovery

The Role of Technology and Innovation Capabilities in Achieving Business Resilience of MSMEs During Covid-19: Empirical Study
Grisna Anggadwita, Erni Martini, Ratih Hendayani and Muhammad Kamil (Telkom University, Indonesia)
Gaze-Controlled Digital Signage for Public Health Education during Covid-19 Pandemic
Sunu Wibirama (Universitas Gadjah Mada, Indonesia); Suatmi Murnani (Universitas Islam Indonesia, Indonesia); Irawan Dharma Sukawati and Ridi Ferdiana (Universitas Gadjah Mada, Indonesia)
Analysis of the House of Risk (HOR) Model for Risk Mitigation of the Supply Chain Management Process (Case Study: KPBS Pangalengan Bandung, Indonesia)
Ratih Hendayani, Ellysa Rahmadina, Grisna Anggadwita and Rina Pasaribu (Telkom University, Indonesia)
Evaluation of the Social Restriction and its Effect to the COVID-19 Spread in Indonesia
Inna Syafarina (National Research and Innovation Agency (BRIN), Indonesia); Ayu Shabrina (National Research and Innovation Agency, Indonesia); Arnida L Latifah (National Research and Innovation Agency & Telkom University, Indonesia); Didit Adytia (School of Computing, Telkom University, Indonesia)
Contributing Clinical Attributes to COVID-19 Mortality in Jakarta: Machine Learning Study
Muhamad Erza Erza Aminanto (Monash University Indonesia, Indonesia); Bahrul Ilmi Nasution and Andi Sulasikin (Jakarta Smart City, Indonesia); Yudhistira Nugraha (Telkom University, Indonesia); Juan Kanggrawan (Jakarta Smart City, Indonesia); Alex Lukmanto Suherman (Directorate of Research and Community Service, Indonesia)

1B: Computer Vision

Multi-Target Regression Using Convolutional Neural Network-Random Forests (CNN-RF) For Early Earthquake Warning System
Benaldy Yuga Adhaityar (University of Diponegoro, Indonesia); David Sahara (Institut Teknologi Bandung, Indonesia); Cecep Pratama (Universitas Gadjah Mada, Indonesia); Adi Wibowo (Diponegoro University, Indonesia); Leni Sophia Heliani (Universitas Gadjah Mada, Indonesia)
Vision-Based Employee Activity Classification
Rizal Kusuma Putra, Ema Rachmawati and Febryanti Sthevanie (Telkom University, Indonesia)
Compressive Sensing Image Watermarking Orthogonal Matching Pursuit
Irma Safitri, Ledya Novamizanti and Aliffian S. Laksono (Telkom University, Indonesia)
Traffic Sign Recognition with Convolutional Neural Network
Zhong Bo Ng and Kian Ming Lim (Multimedia University, Malaysia); Chin Poo Lee (University of Nottingham Ningbo China, China)
Deep Convolutional Generative Adversarial Network Application in Batik Pattern Generator
Agus Eko Minarno (Universitas Muhammadiyah Malang, Indonesia); Moch. Chamdani Mustaqim (University of Muhammadiyah Malang, Indonesia); Yufis Azhar (Universitas Muhammadiyah Malang, Indonesia); Wahyu Andhyka Kusuma (Universitas Muhammadiyah Malang, Malaysia & Universiti Putra Malaysia, Malaysia)

1C: Data Science

Convolutional Neural Networks for Indonesian Aspect-Based Sentiment Analysis Tourism Review
Royan Nayoan, Ahmad Fathan Hidayatullah and Dhomas Hatta Fudholi (Universitas Islam Indonesia, Indonesia)
Sentiment Analysis on Marketplace Review using Hybrid Lexicon and SVM Method
Muhammad Mukhtar Dwi Putra, Wikky Fawwaz Al Maki and Ade Romadhony (Telkom University, Indonesia)
Forecasting Number of COVID-19 Cases in Indonesia with ARIMA and ARIMAX Models
Bimo Satrio Aji, Indwiarti Indwiarti and Aniq Atiqi (Telkom University, Indonesia)
Disaster Tweet Classification Based On Geospatial Data Using the BERT-MLP Method
Iqbal Maulana and Warih Maharani (Telkom University, Indonesia)
Cyberbullying Detection on Indonesian Twitter using Doc2Vec and Convolutional Neural Network
Shindy Trimaria Laxmi, Rita Rismala and Hani Nurrahmi (Telkom University, Indonesia)

1D: E-Learning and HCI

Digital Nudge Evaluation on COVID-19 tracing Application
Dyah Wahyu Sukmaningsih (School of Information Systems BINUS University, Indonesia); Edi Abdurachman (Bina Nusantara University, Indonesia); Betty Purwandari (Universitas Indonesia, Indonesia); Agung Trisetyarso (Bina Nusantara University, Indonesia)
Developing Suicide Risk Idea Identification for Teenager (SERIINA) Mobile Apps Prototype using Extended Rapid Application Development
Tenia Wahyuningrum (Telkom University, Indonesia & Institut Teknologi Telkom Purwokerto, Indonesia); Gita Fadila Fitriana and Ariq Cahya Wardhana (Telkom University, Indonesia); Muhammad Sidiq (Institut Teknologi Telkom Purwokerto, Indonesia); Dyah Wahyuningsih (Politeknik Kesehatan Semarang, Indonesia)
Designing An Educational Game Evaluation Framework Based On Game Mechanic
Satrio A Rukmono, Fais Zharfan Azif and Muhammad Zuhri Catur Candra (Institut Teknologi Bandung, Indonesia)
Cultivating Recycling Awareness in Preschoolers using Animated Interactive Comic
Siti Zulaiha Ahmad, Ts. (Universiti Teknologi Mara Perlis Branch, Malaysia); Nurul Aina Kamarulzaman (UiTM Perlis Branch, Malaysia); Ariffin Abdul Mutalib (Universiti Utara Malaysia, Malaysia)
Analysis Influence of The Organizational Learning Environment Factors To Encourage Employee Motivation Using E-Learning
Nanik Qodarsih (The Research and Development and Education and Training Agency for Law and Judiciary & Mahkamah Agung RI, Indonesia); Achmad Hidayanto (University of Indonesia, Indonesia); Muhammad Rifki Shihab (Universitas Indonesia, Indonesia)

1E: Healthcare, Bioinformatics, and Biomedical Applications

Distributed Phylogenetic Tree Processing on Biology Sequences Using Mapreduce
Renaning Karutami Susilo, Setyorini Setyorini and Siti Amatullah Karimah (Telkom University, Indonesia)
Linear Regression Model to Predict the Spread of COVID-19 in Tangerang City
Yusuf Sudiyono, Agung Trisetyarso, Harjanto Prabowo and Meyliana Meyliana (Bina Nusantara University, Indonesia)
Strategic Information System Planning for Indonesia Non-franchise Pharmacies Based on John Ward and Factor Analysis Method
Tabah Arwiyanto, Adian Fatchur Rochim and R Rizal Isnanto (Diponegoro University, Indonesia)
Flexible Multi-Layer Condura Fabric Ultra Wide-Band Antenna For Telemedicine Application
Yusnita Rahayu and Tasya Kirana (Universitas Riau, Indonesia)
Anonymizing Prescription Data Against Individual Privacy Breach in Healthcare Database
Dedi Gunawan, Yusuf Sulistyo Nugroho, Maryam M and Fatah Al Irsyadi (Universitas Muhammadiyah Surakarta, Indonesia)

Tutorial Session #3

Face analysis in public space (Moh Edi Wibowo, S.Kom., M.Kom., Ph.D. - Universitas Gadjah Mada, Indonesia)

This tutorial discusses various methods to detect and to identify faces, facial landmarks, and facial attributes in images and videos collected from public spaces. Such methods provide information that might be useful for public space monitoring and access control in particular during the current pandemic situation. Algorithms such as cascaded regression and probabilistic discriminant analysis will be discussed and implemented in the tutorial.

2A: Networking, IoT, and Security

Simulation Of Jellyfish Topology Link Failure Handling Using Floyd-Warshall and Johnson Algorithm in Software Defined Network Architecture
Muhammad Arief Nugroho (Telkom University, Indonesia); Andrian Rakhmatsyah (School of Computing - Telkom University, Indonesia)
Game Theoretical Power Control in Heterogeneous Network
Anggun Fitrian Isnawati (Telkom University, Indonesia); Mas Aly Afandi (Institut Teknologi Telkom Purwokerto, Indonesia)
IoT Drone Camera for a Paddy Crop Health Detector with RGB Comparison
Elvaretta Yucky, Aji Gautama Putrada and Maman Abdurohman (Telkom University, Indonesia)
A Review on IoT with Big Data Analytics
Abu Fuad Ahmad (Faculty of Information Science and Technology Multimedia University, Malaysia); Md Shohel Sayeed and Choo Peng Tan (Multimedia University, Malaysia); Kim Geok Tan (Multimedia University Malaysia, Malaysia); Ahsanul Bari and Ferdous Hossain (Multimedia University, Malaysia)
Vehicle Blind Spot Area Detection Using Bluetooth Low Energy and Multilateration
Muhammad Reza Widya Pratama, Maman Abdurohman and Aji Gautama Putrada (Telkom University, Indonesia)

2B: Computer Vision

Facial Emotion Recognition using Transfer Learning of Alexnet
Sarmela Raja Sekaran (Multimedia University, Malaysia); Chin Poo Lee (University of Nottingham Ningbo China, China); Kian Ming Lim (Multimedia University, Malaysia)
Visually Similar Handwritten Chinese Character Recognition with Convolutional Neural Network
Wei Han Liu and Kian Ming Lim (Multimedia University, Malaysia); Chin Poo Lee (University of Nottingham Ningbo China, China)
Pneumonia Classification using Gabor-Convolutional Neural Networks and Image Enhancement
Agus Eko Minarno and Muhammad Rifal Alfarizy (Universitas Muhammadiyah Malang, Indonesia)
Fingerprint Enhancement using Iterative Contextual Filtering for Fingerprint Matching
Brama Yoga Satria (Gadjah Mada University, Indonesia); Agus Bejo (Universitas Gadjah Mada, Indonesia); Risanuri Hidayat (Gadjah Mada University (UGM), Indonesia)
Histogram of Oriented Gradient Random Template Protection for Face Verification
Lucas Chong Wei Jie and Siew Chin Chong (Multimedia University, Malaysia)

2C: Data Science

Aspect-Based Sentiment Analysis in Beauty Product Reviews Using TF-IDF and SVM Algorithm
Nadira Putri Arthamevia, A Adiwijaya and Mahendra Dwifebri Purbolaksono (Telkom University, Indonesia)
Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews
Rachmansyah Adhi Widhianto and Ade Romadhony (Telkom University, Indonesia)
Spam Detection on Indonesian Beauty Product Review
Muhammad Ahsan Athallah and Ade Romadhony (Telkom University, Indonesia)
Emotion Classification on Indonesian Twitter Using Convolutional Neural Network (CNN)
Firhan Maulana Rusli (Telkom University & Lovia, Indonesia); Rita Rismala and Hani Nurrahmi (Telkom University, Indonesia)
Mapping Complex Tourist Destination Preferences: Network Perspectives
Dian Puteri Ramadhani, Andry Alamsyah, Muhammad Nashir Atmaja and Joe Panjaitan (Telkom University, Indonesia)

2D: E-Learning and HCI

Exploring the existence and variation of Game Player Traits among Undergraduate students in Malaysia
Mageswaran Sanmugam (Universiti Sains Malaysia, Malaysia)
Implementation of Continuous Integration and Continuous Delivery (CI/CD) on Automatic Performance Testing
Mohammad Rizky Pratama and Dana Sulistiyo Kusumo (Telkom University, Indonesia)
Understanding Government Reorganization Impact from Knowledge Management Perspective: A Study Case
Yulia Sulistyaningsih (Universitas Indonesia, Indonesia); Khairiyah Rizkiyah, Sofian Lusa and Assaf Arief (University of Indonesia, Indonesia)
RPA-based Bots for Managing Online Learning Materials
Siti Fatimah Abdul Razak, Faizuniza Mashhod and Zulfadhli Najmi bin Zaidan (Multimedia University, Malaysia); Sumendra Yogarayan (Multimedia University (MMU), Malaysia)
Enterprise Resource Planning Teaching in Post Pandemic using Gamification
Kaushal Jheengut and Dinesha Cauleechurn (Mauritius); Bibi Zarine Cadersaib (University of Mauritius & Reduit, Mauritius)

2E: Healthcare, Bioinformatics, and Biomedical Applications

Holick's Rule Implementation: Calculation of Produced Vitamin D from Sunlight Based on UV Index, Skin Type, and Area of Sunlight Exposure on the Body
Jonathan Salomo (Bandung Institute of Technology & IEEE ITB Student Branch, Indonesia); Eduardus Ariasena, Athaya Syaqra and Salma Majidah (Bandung Institute of Technology, Indonesia)
T-COFFEE Multiple Sequence Aligner on Hadoop Spark Cluster
Viebiyanty Prihatiningrum, Setyorini Setyorini and Siti Amatullah Karimah (Telkom University, Indonesia)
Relaxation Oscillator Using Closed-loop Dual Comparator for Biomedical Applications
Theodora Valerie (Universitas Gadjah Mada, Indonesia); Dodi Garinto (Politeknik Manufaktur Astra & Indonesian Power Electronics Center, Indonesia); Prapto Nugroho (Universitas Gadjah Mada, Indonesia); Ary Syahriar (University al Azhar Indonesia & Faculty of Science and Technology, Indonesia); Eka Samsul Ma'arif (Astra Manufacturing Polytechnic, Indonesia)
Wireless Programmable body sensor networks and Situated Healthcare
Alberto Faro (Deepsensing srl, Italy); Daniela Giordano (University of Catania, Italy); Mario Venticinque (Municipality of Catania, Italy)

Keynote Speech #5

Machine learning and digital technologies in the context of epidemiology and clinical trials (Prof. Dr. Kazem Rahimi - University of Oxford)

Kazem Rahimi is a Professor of Cardiovascular Medicine and Population Health, at the University of Oxford and a consultant cardiologist at the Oxford University Hospitals NHS Trust. His research interests include hypertension, heart failure, multimorbidity and cardiovascular risk management, using a variety of methodologies such as individual-patient meta-analysis, large-scale decentralised clinical trials, and digital health technologies. Kazem leads the Deep Medicine programme at the Nuffield Department of Women's and Reproductive Health with a major interest in the application of machine learning approaches to electronic health records. He also leads the Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC), which is an international collaboration of all the major trials of blood pressure lowering drugs. He is the Director of the Martin School Programme on Informal Cities and a Co-Investigator of the PEAK-Urban programme.

Keynote Speech #6

Modelling sentiment and contrastive opinion of COVID-19 Pandemic on Social Media: Linking Computer Science and Social Science (Dr. Mohamad Hardyman Barawi - Universiti Malaysia Sarawak)

Sentiment analysis is the computational study of people's opinions, attitudes, and emotions expressed in a text or written language. Due to many challenging research problems and a wide range of practical applications, it has become one of the most active research areas in natural language processing in recent years. In this talk, I will discuss mainstream sentiment analysis research before moving on to describe some more recent work on modelling opinion and comments of COVID-19 Pandemic on Social Media. This research naturally connects computer science and social science, especially communication and political sciences, in social media analysis.

Closing day 2

Opening day 3

Tutorial Session #4

Bioinformatics has helped prevent & control a pandemic. What's next?

Bioinformatics and cloud technologies have been beneficial in many countries' decision-making during this pandemic. Sequence analysis algorithms, such as fast algorithms on sequence alignment, de-novo assembly, gene annotation, gene expression analysis, gene prediction, and antibiotic resistance finding, have been crucial in solving an outbreak. Nowadays, DNA sequencing has become a routine task, and people can even do it in their kitchen. Improvements in DNA sequencing techniques have encouraged the popularity of shotgun metagenomics. The whole metagenome shotgun enables finding the microbial diversity - or in medical bioinformatics, the list of pathogens - in one sample. Additionally, it is also the primary key to discover the cure for genetic diseases and cancer. Together with microbiome research, bioinformatics has encouraged fecal microbiota transplant (FMT) research to cure many diseases such as CDI, bipolar disorder, autism, and cancer.

3A: Networking, IoT, and Security

AADC 3: Active-Active Distributed Controller with 3-in-1 Asynchronous Heartbeat Synchronization Method in Software-Defined Networks
Muhammad Arief Nugroho and Vera Suryani (Telkom University, Indonesia)
4G LTE Cellular Network Coverage Planning and Simulation on Mandalay Area with Propagation Model Cost-Hatta
Ahmad Idris (Universitast Al-Azhar Indonesia, Indonesia); Suci Rahmatia (University of Al Azhar Indonesia, Indonesia); M. Ismail (PT. Nokia Solutions and Networks, Indonesia)
USB Flash Drives Forensic Analysis to Detect Crown Jewel Data Breach in PT. XYZ (Coffee Shop Retail - Case Study)
Daniel Septianto (Swiss German University & Asia Pulp and Paper, Indonesia); Lukas Lukas (Universitas Katolik Indonesia Atma Jaya, Indonesia); Bagus Mahawan (Swiss German University, Indonesia)
Detection of Sinusoids with Frequency Drift in White Gaussian Noise
Bradley Comar (US DoD, USA)
Tone Detection System Design for Targets with Frequency Drift
Bradley Comar (US DoD, USA)

3B: Computer Vision

Enhanced AlexNet with Super-Resolution for Low-Resolution Face Recognition
Jin Chyuan Tan and Kian Ming Lim (Multimedia University, Malaysia); Chin Poo Lee (University of Nottingham Ningbo China, China)
An End-to-End Optical Character Recognition Pipeline for Indonesian Identity Card
Andreas Chandra and Ruben Stefanus (Warung Pintar Sekali, Indonesia)
A Study of Batik Style Transfer using Neural Network
Aditya Firman Ihsan (Telkom University, Indonesia)
Tomato Plant Disease Identification through Leaf Image using Convolutional Neural Network
Aulia Ikvanda Yoren and Suyanto Suyanto (Telkom University, Indonesia)

3C: Data Science

Non-Stationary Order of Vector Autoregression in Significant Ocean Wave Forecasting
Fikka Raudiya and Aniq Atiqi (Telkom University, Indonesia); Didit Adytia (School of Computing, Telkom University, Indonesia)
FN-Net: A Deep Convolutional Neural Network for Fake News Detection
Kian Long Tan (Multimedia University, Malaysia); Chin Poo Lee (University of Nottingham Ningbo China, China); Kian Ming Lim (Multimedia University, Malaysia)
Sentiment Analysis of Ojek Online User Satisfaction Based on the Naïve Bayes and Net Brand Reputation Method
Alam Rahmatulloh and Rahmi Shofa (Siliwangi University, Indonesia); Irfan Darmawan (Telkom University, Indonesia); Ardiansah Ardiansah (Siliwangi University, Indonesia)
Raw Paper Material Stock Forecasting with Long Short-Term Memory
Febryo Kurniawan, Dyah Herwindiati and Manatap Dolok Lauro (Tarumanagara University, Indonesia)
Mobile Customer Behaviour Predictive Analysis for Targeting Netflix Potential Customer
Suryadi Tanuwijaya, Andry Alamsyah and Maya Ariyanti (Telkom University, Indonesia)

3D: E-Learning and HCI

Implementation and Analysis of Reusability Framework Design for Event User Interface Component in Phaser 3
Ahmad Arsyel Abdul Hakim (Telkom Univetrsity, Indonesia); Dana Sulistiyo Kusumo and Jati H. Husen (Telkom University, Indonesia)
Master Data Management Maturity Model (MD3M) Assessment: A Case Study in Secretariat of Presidential Advisory Council
Chielsin Ko and Andytias Adywiratama (Universitas Indonesia, Indonesia); Achmad Hidayanto (University of Indonesia, Indonesia)
Capturing Institution and Learners Readiness of e-Learning Implementation: A Case Study of a University in Bandung, Indonesia
Dawam Dwi Jatmiko Suwawi (Telkom University, Indonesia); Bayu Aditya (Telkom Univetrsity, Indonesia); Nungki Selviandro (Telkom University, Indonesia); Anisa Herdiani (Telkom Univetrsity, Indonesia); Yati Rohayati and Yanuar Firdaus Arie Wibowo (Telkom University, Indonesia)
Satisfaction Factors of Indonesian National Civil Servant Recruitment System
Galih Kenang Avianto, Fitria Elliyana and Dana I. Sensuse (Universitas Indonesia, Indonesia)
The Preliminary Study on the Perception of Engineering Students on Blended Learning
Min Chi Low and Chen Kang Lee (Universiti Tunku Abdul Rahman, Malaysia); Manjit Singh Sidhu (Universiti Tenaga Nasional & College of IT, Malaysia); Zaimah Hasan (Universiti Tenaga Nasional, Malaysia); Seng Poh Lim (Universiti Tunku Abdul Rahman, Malaysia); Seng Chee Lim (Tunku Abdul Rahman University College, Malaysia)

3E: Healthcare, Bioinformatics, and Biomedical Applications

Implant Segmentation in Radiographic Imagery Using Wavelet Decomposition and Multiresolution MTANN
Rangga Perwiratama, Pranowo Pranowo and Djoko Budiyanto Setyohadi (Universitas Atma Jaya Yogyakarta, Indonesia)
Improving Multi-Class Motor Imagery EEG Signals Classification Using Ensemble Learning Method
Deni Kurnianto Nugroho, Noor Akhmad Setiawan and Hanung Adi Nugroho (Universitas Gadjah Mada, Indonesia)
Implementation and Experimental Characterization of Dual-Band Wearable Reflector Composed of AMC Structure for Wireless Communication
Achmad Munir (Institut Teknologi Bandung, Indonesia); Dwiki Haryanto, Ichsan Nusobri and Levy Olivia Nur (Telkom University, Indonesia)

Tutorial Session #5

Big Data: Trends, Challenges & Opportunities

Every day, approximately 2.5 quintillion bytes of data are created. These data come from digital pictures, videos, posts to social media sites, intelligent sensors, purchase transaction records, cell phone GPS signals, to name a few. This is known as Big Data. There is no doubt that Big Data and especially what we do with it has the potential to become a driving force for innovation and value creation. Innovations in technology and greater affordability of digital devices have presided over today's Age of Big Data, an umbrella term for the explosion in the quantity and diversity of high frequency digital data. These data hold the potential as yet largely untapped to allow decision makers to track development progress, improve social protection, and understand where existing policies and programmes require adjustment. Turning Big Data-call logs, mobile-banking transactions, online user-generated content such as blog posts and Tweets, online searches, satellite images, etc. into actionable information requires using computational techniques to unveil trends and patterns within and between these extremely large socioeconomic datasets. New insights gleaned from such data mining should complement official statistics, survey data, and information generated by Early Warning Systems, adding depth and nuances on human behaviours and experiences and doing so in real time, thereby narrowing both information and time gaps. The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of ``Big Data.'' There is currently a wide gap between its potential and its realization. Heterogeneity, scale, timeliness, complexity, and privacy problems with Big Data impede progress at all phases of the pipeline that can create value from data. A large amount of data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Transforming such content into a structured format for later analysis is a major challenge. The value of data explodes when it can be linked with other data, thus data integration is a major creator of value. Since most data is directly generated in digital format today, we have the opportunity and the challenge both to influence the creation to facilitate later linkage and to automatically link previously created data. Data analysis, organization, retrieval, and modeling are other foundational challenges. Data analysis is a clear bottleneck in many applications, both due to lack of scalability of the underlying algorithms and due to the complexity of the data that needs to be analyzed. Finally, presentation of the results and its interpretation by non-technical domain experts is crucial to extracting actionable knowledge.The many novel challenges and opportunities associated with Big Data necessitate rethinking many aspects of these data management platforms, while retaining other desirable aspects. It should be point out that the appropriate investment in Big Data will lead to a new wave of fundamental technological advances that will be embodied in the next generations of Big Data management and analysis platforms, products, and systems. Thus, we should believe that these research problems are not only timely, but also have the potential to create huge economic value in the world economy for years to come. However, they are also hard, requiring us to rethink data analysis systems in fundamental ways. A major investment in Big Data, properly directed, can result not only in major scientific advances, but also lay the foundation for the next generation of advances in science, medicine, and business.

4A: Networking, IoT, and Security

Modified Pixel Value Ordering-based Predictor for Reversible Data Hiding on Video
Tohari Ahmad and Alek Nur Fatman (Institut Teknologi Sepuluh Nopember, Indonesia); Ahmad Hoirul Basori (King Abdulaziz University, Saudi Arabia)
Simulation Analysis of Partial Transmit Sequence on Palm Date Leaf Clipping for PAPR Value Reduction
Vincent Vincent (Institut Teknologi Bandung, Indonesia); Antonius Suhartomo (President University, Indonesia); Joni W. Simatupang (Indonesia Defense University, Indonesia & Universitas Indonesia & NTUST, Taiwan); Mia Galina (University of Indonesia & President University, Indonesia)
Design Automation of Single Photon Counting Method for Quantum Random Number Generation
Dwi Novazrianto (Politeknik Siber dan Sandi Negara & Hardware Cryptographic Engineering, Indonesia); Alwan Muhamad Fajar, Aprilia Kusuma Dewi and Muhammad Yusuf (Politeknik Siber dan Sandi Negara, Indonesia); Rini Wisnu Wardhani (Pusan National University, Korea (South)); Dedy Septono Catur Putranto (BSSN, Indonesia)
On the Modifications of a Digital Signature Algorithm with Secret Sharing
Umi Uli Zulfah (Badan Siber dan Sandi Negara, Indonesia); Mareta Wahyu Ardyani (Politeknik Siber dan Sandi Negara, Indonesia)
Connected Vehicle Communication Concept for Flood Level Warning Using Low Cost Microcontroller
Sumendra Yogarayan (Multimedia University (MMU), Malaysia); Siti Fatimah Abdul Razak, Mohd Fikri Azli Abdullah and Fremont Kwong (Multimedia University, Malaysia)
Randomness, Uniqueness, and Steadiness Evaluation of Physical Unclonable Functions
Rivaldo Ludovicus Sembiring (Telkom University, Indonesia); Rizka Reza Pahlevi (Nagoya University, Japan); Parman Sukarno (Telkom University, Indonesia)

4B: Computer Vision

A Low-Cost High-Accuracy Thermal Camera Using Off-the-shelf Hardware Devices
Dinh-Tien Tran, Viet-Khoa Nguyen and Ngoc-Thien Nhan (Ho Chi Minh City University of Technology, VNU-HCM, Vietnam); Duc-Hiep Nguyen (Ho Chi Minh City University of Technology, VNU-HCM & Vietnam Blockchain Corporation (VBC), Vietnam); Hoang-Anh Pham (Ho Chi Minh City University of Technology (HCMUT) & Vietnam National University Ho Chi Minh City (VNU-HCM), Vietnam)
Sentinel 1 Classification for Garlic Land Identification using Support Vector Machine
Muhammad Asyhar Agmalaro (IPB University, Indonesia); Imas Sukaesih Sitanggang (Bogor Agricultural University, Indonesia); Mia Waskito (IPB University, Indonesia)
Recognition of Academic Emotions in Online Classes
Jordan Ming Han Pang, Tee Connie and Goh Kah Ong Michael (Multimedia University, Malaysia)
Image Steganography Compressive Sensing Orthogonal Matching Pursuit
Irma Safitri and Ratri Dwi Atmaja (Telkom University, Indonesia); Vikra Akbar (Telkom Univetrsity, Indonesia)

4C: Data Science

Hoax Identification on Tweets in Indonesia Using Doc2Vec
Titi Widaretna, Jimmy Tirtawangsa and Ade Romadhony (Telkom University, Indonesia)
Electronic Nose Dataset for Classifying Rice Quality using Neural Network
Ferdy Erlangga, Dedy Rahman Wijaya and Wawa Wikusna (Telkom University, Indonesia)
SVM Parallel Concept Test with SMO Decomposition on Cancer Microarray Dataset
Rahmat Ramadan Prasojoe (University of Telkom, Indonesia); Setyorini Setyorini (Telkom University, Indonesia)
Detecting Online Recruitment Fraud Using Machine Learning
Hridita Tabassum, Gitanjali Ghosh, Afra Atika and Amitabha Chakrabarty (BRAC University, Bangladesh)
Data Mining for Revealing Relationship Between Google Community Mobility and Macro-Economic Indicators
Gunawan Gunawan (University of Surabaya, Indonesia)

4D: E-Learning and HCI

Suitable Knowledge Management Process Implementation: a case study of PT XYZ
Yusuf Pratama and Dana I. Sensuse (Universitas Indonesia, Indonesia); Sofian Lusa (University of Indonesia, Indonesia); Damayanti Elisabeth, Nadya Safitri, Ghanim Kanugrahan and Bryanza Novirahman (Universitas Indonesia, Indonesia)
Critical Success Factors for Project Tracking Software Implementation: A Case Study at a Banking Company in Indonesia
Hendro Prabowo Hadi and Ridha Eryadi (University of Indonesia, Indonesia); Teguh Raharjo (Universitas Indonesia, Indonesia)
Assurance Case Pattern using SACM Notation
Nungki Selviandro (Telkom University, Indonesia)
Sustainability And Aptness Of Game Elements In A Gamified Learning Environment
Mageswaran Sanmugam (Universiti Sains Malaysia, Malaysia)
User Interface Model for Visualization of Learning Materials in Comic Strip Form Using Goal-Directed Design Method
Muhammad Fauzan Nur Adillah (School of Computing - Telkom University, Indonesia); Danang Junaedi and Yanuar Rahman (Telkom University, Indonesia)

4E: Networking, IoT, and Security

Accessibility and Response Time Analysis on the COVID19 Website in Indonesia
Ryan Wicaksono and Hilal H. Nuha (Telkom University, Indonesia)
Modified Bit Parity Technique for Error Detection of 8 Bit Data
Fakhira Zulfira, Hilal H. Nuha, Dodi Wisaksono Sudiharto and Rio Guntur Utomo (Telkom University, Indonesia)
IoT Application on Agricultural Area Surveillance and Remote-controlled Irrigation Systems
Ratnasari Nur Rohmah (Mesan Baru No. 29, Indonesia & Universitas Muhammadiyah Surakarta, Indonesia); Heru Supriyono, Agus Supardi, Hasyim Asyari, Riant Rahmadi and Yana Oktafianto (Universitas Muhammadiyah Surakarta, Indonesia)
Hunting Cyber Threats in the Enterprise Using Network Defense Log
Ardian Oktadika, Charles Lim and Kalpin Erlangga (Swiss German University, Indonesia)
Present-80 Encryption Algorithm Implementation on GPRS Arduino Mega-2560 Cyber Physical Tracking System
Dwi Novazrianto (Politeknik Siber dan Sandi Negara & Hardware Cryptographic Engineering, Indonesia); Rini Wisnu Wardhani (Pusan National University, Korea (South)); Naufal Hafiz Syahidan (Politeknik Siber dan Sandi Negara & Hardware Cryptographic Engineering, Indonesia)

5A: Networking, IoT, and Security

Learning Method of Performance-oriented Congestion Control (PCC) for Video Streaming Analysis
Rezy Noerdyah, Hilal H. Nuha and Sidik Prabowo (Telkom University, Indonesia)
Building an ID Card Repository with Progressive Web Application to Mitigate Fraud based on the Twelve-Factor App methodology
Kevin Akbar Adhiguna (Padjadjaran University & Lovia, Indonesia); Firhan Maulana Rusli (Telkom University & Lovia, Indonesia); Hendy Irawan (Telkom University, Indonesia)
XB-Pot: Revealing Honeypot-based Attacker's Behaviors
Ryandy Djap, Charles Lim and Kalpin Erlangga (Swiss German University, Indonesia); Andi Yusuf (BSSN, Indonesia)
Design of a Snort-based IDS on the Raspberry Pi 3 Model B+ Applying TaZmen Sniffer Protocol and Log Alert Integrity Assurance with SHA-3
Garand Yudha (Politeknik Siber dan Sandi Negara, Indonesia); Rini Wisnu Wardhani (Pusan National University, Korea (South))
Experimental Investigation of Wave Absorber Made of Ring Resonator-Based AMC Structure
Levy Olivia Nur, Ichsan Nusobri and Budi Syihabuddin (Telkom University, Indonesia); Achmad Munir (Institut Teknologi Bandung, Indonesia)

5B: Data Science

Information Cascade Mechanism and Measurement of Indonesian Fake News
Andry Alamsyah and Asla Sonia (Telkom University, Indonesia)
Fraud Accounts Identification Modelling on Multi-Platform E-Commerce
Grawas Sugiharto (Jakarta & ITB Indonesia, Indonesia); Yudistira Asnar (Counselor, Indonesia)
Classification on Participants Renewal Process in Insurance Company: Case Study PT XYZ
Deddy Utomo (University of Indonesia, Indonesia); Noperida Damanik (Universitas Indonesia, Indonesia); Indra Budi (Faculty of Computer Science & Universitas Indonesia, Indonesia)
Hybrid Space-Time Model and Machine Learning for Forecasting Multivariate Spatio-Temporal Data
Hendri Prabowo, Dedy Dwi Prastyo and Setiawan Setiawan (Institut Teknologi Sepuluh Nopember, Indonesia)
Comparative Study of Covid-19 Tweets Sentiment Classification Methods
Untari N. Wisesty (Bandung Institute of Technology, Indonesia); Rita Rismala (Telkom University, Indonesia); Wira Munggana and Ayu Purwarianti (Bandung Institute of Technology, Indonesia)

5C: Data Science

Forecasting of COVID-19 Cases in Jakarta using Poisson Autoregression
Bahrul Ilmi Nasution (Jakarta Smart City, Indonesia); Yudhistira Nugraha (Telkom University, Indonesia); Juan Kanggrawan (Jakarta Smart City, Indonesia); Alex Lukmanto Suherman (Directorate of Research and Community Service, Indonesia)
Optimization of Crops Allocation Planning in Cianjur Involving Water Cost Constraints Using Genetic Algorithm
Irma Palupi and Bambang Wahyudi (Telkom University, Indonesia); Siti Sa'adah (Telkom University d/h Telkom Institute of Technology & Southampton University, Indonesia)
Fake News Detection with Hybrid CNN-LSTM
Kian Long Tan (Multimedia University, Malaysia); Chin Poo Lee (University of Nottingham Ningbo China, China); Kian Ming Lim (Multimedia University, Malaysia)
Aspect Based Sentiment Analysis With Combination Feature Extraction LDA and Word2vec
Rizka Vio Octriany Inggit Sudiro, Sri Suryani and Yuliant Sibaroni (Telkom University, Indonesia)
Sentiment Analysis on Beauty Product Reviews using LSTM Method
Muhammad Rafii Danendra and Yuliant Sibaroni (Telkom University, Indonesia)

5D: Data Science

Indonesian ID Card Extractor Using Optical Character Recognition and Natural Language Post-Processing
Firhan Maulana Rusli (Telkom University & Lovia, Indonesia); Kevin Akbar Adhiguna (Padjadjaran University & Lovia, Indonesia); Hendy Irawan (Telkom University, Indonesia)
Analysis of Records Management Maturity Level for Data Collection of Network Assets in Indonesian Telecommunication Industry
Rizky A C Eka Putri and Achmad Hidayanto (University of Indonesia, Indonesia)
Data Acquisition Guide for Forest Fire Risk Modelling in Malaysia
Yee Jian Chew, Shih Yin Ooi and Ying Han Pang (Multimedia University, Malaysia)
Implementation of Hidden Markov Model (HMM) to Predict Financial Market Regime
Irma Palupi, Bambang Wahyudi and Agung Putra (Telkom University, Indonesia)
Prediction of Graduation with Naïve Bayes Algorithm and Principal Component Analysis (PCA) on Time Series Data
Wishnu Dwi Herlambang (Margahayu Raya, Jalan Andromeda VIII, Indonesia); Kusuma Ayu Laksitowening and Ibnu Asror (Telkom University, Indonesia)

5E: Data Science

Comparative Analysis of Support Vector Machine (SVM) and Random Forest (RF) Classification for Cancer Detection using Microarray
Irawansyah Irawansyah, A Adiwijaya and Widi Astuti (Telkom University, Indonesia)
Evaluating the BPPT Medical Speech Corpus for An ASR Medical Record Transcription System
Elvira Nurfadhilah (Agency for the Assessment and Application of Technology (BPPT)); Asril Jarin (National Research and Innovation Agency (BRIN), Indonesia); Lyla Ruslana Aini (Agency for the Assessment and Application of Technology (BPPT)); Siska Pebiana (National Research Center and Innovation Agency of Republic Indonesia, Indonesia); Agung Santosa (Institut Teknologi Sepuluh Nopember (ITS) & National Research and Innovation Agency (BRIN), Indonesia); Mohammad Teduh Uliniansyah (National Research and Innovation Agency, Indonesia); Eduward Butarbutar (Solusi247, Indonesia); Desiani Desiani and Gunarso Gunarso (National Research and Innovation Agency (BRIN), Indonesia)
Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Indenopyrazole Derivative as Anti-Cancer Agent
Muhammad Fajar Rizqi, Reza Rendian Septiawan and Isman Kurniawan (Telkom University, Indonesia)
Ransomware Detection on Bitcoin Transactions Using Artificial Neural Network Methods
Hairil Hairil, Niken Cahyani and Hilal H. Nuha (Telkom University, Indonesia)
Emotional Context Detection on Conversation Text with Deep Learning Method Using Long Short-Term Memory and Attention Networks
Afrida Helen (Universitas Padjadjaran (Unpad), Indonesia); Mira Suryani and Hidayatul Fakhri (Universitas Padjadjaran, Indonesia)

Keynote Speech #7

COVID-19 modelling in Indonesia: A mathematician's apology (Prof. Dr. Hadi Susanto - University of Essex)

The emergence of SARS-CoV-2 in December 2019 in China and its worldwide dissemination has become a major public health priority, including in Indonesia. In this talk, I will share some background stories of my involvement in the SIMCOVID consortium that model the disease and help local governments in the country in fighting the pandemic. I will discuss some mathematical models and methods that we developed, that have been used to extract information for developing and evaluating policy responses. I will also discuss my ‘apologies' on the limitations of the work.

Keynote Speech #8

Programme Lead, Machine Learning and Biomedical Informatics at The University of Oxford (Dr. Reza Khorshidi - The University of Oxford)

Scientists in the field of machine learning (ML) - including deep learning (DL) -- aspire to build better models (usually judged by beating SOTA in well-defined tasks and datasets); successful applications of such models, on the other hand, are about product-market fit (PMF) in environments with ever-growing complexities. As many expect ML to play a bigger role in our society, ML scientists' ability to influence this journey will depend on putting ML research in a PMF context and vice versa (i.e., optimizing for market.fit()+⍺*model.fit(), instead of optimizing for model.fit() alone). Therefore, in this talk, I aim to cover the general principals of building AI products in the "real world", covering topics such as AI product-market fit and impact evaluation in medicine

Greetings

Best paper award by ICoICT 2021 TPC Chair

ICoICT 2022 presentation

Closing Ceremony

Closing by Vice Dean of School of Computing, Telkom University (Parman Sukarno, Ph.D.)