About ICETISI
Welcome to the 1st International Conference on Emerging Trends in Information Systems and Informatics (ICETISI 2025), to be held from 1-2 December 2025, in Jakarta, Indonesia. Organized by the Faculty of Technology and Computer Science at Universitas Nasional, this premier academic event will bring together researchers, scholars, industry professionals, and students to discuss the latest advancements and emerging trends in Information Systems and Informatics.
ICETISI 2025 aims to be a dynamic platform for exchanging ideas and fostering collaboration between academia and industry. The conference will feature keynote speeches, panel discussions, and paper presentations that explore the impact of rapid technological changes on Information Systems and Informatics. Participants will have the opportunity to engage in meaningful discussions on current challenges, share innovative research findings, and explore the future directions of technology, ultimately contributing to the advancement of the field and the development of impactful technologies for society.
Conference Tracks
Big data
- Big data analytics
- Data mining and data science
- Social media analytics
- Big data applications
- Learning analytics
- Crowdsourcing and human-in-the-loop
- AI for big data
- Multimodal data
Intelligent systems and Applications
- Smart cities
- Smart agriculture
- Health informatics
- Internet of things
- Brain-machine interfacing
- Intelligent transportation system
- Geographic Information Systems
E-commerce and Fintech
- Financial analytics
- Financial data mining
- Blockchain in Fintech
- Portfolio optimization
- Stock price prediction
- Cryptocurrencies
- Market modelling
- E-commerce
- Digital tourism
- Distribution and supply chain
- Marketing technology
Communication networks, signal processing and applications
- AI for communication systems
- Adhoc and sensor networks
- Mobile and wireless communication systems
- Optical communication networks
- Radar and antenna
- Multimedia signal processing
- Audio and acoustic signal processing
- Signal processing for robotics
- Speech and language processing
- Quantum signal processing
Computer networks and security
- Networking technologies
- Network architecture
- Cyber-physical-social systems
- Edge and cloud computing
- Blockchains
- Information Forensics & Security
- Metaverse
Important Dates
| Activity | Date |
|---|---|
| Submission deadline | 4 November 2025 |
| Acceptance notification | 15 November 2025 |
| Registration (early bird) | 20 November 2025 |
| Registration (Normal) | 25 November 2025 |
| Camera Ready | 20 November 2025 |
| Conference | 1-2 December 2025 |
Event Venue
Countdown
Countdown to ICETISI 2025! Get ready for the biggest conference on technology and innovation, happening from 1-2 December 2025.
- 00Days
- 00Hours
- 00Minutes
- 00Seconds
Keynote Speaker
Prof. Shinichi Shirakawa
Prof. Shinichi Shirakawa, a professor at the Faculty of Environment and Information Sciences, Yokohama National University, leads a notable research lab specializing in machine learning, deep learning, and evolutionary computation. His innovative contributions have garnered him prestigious awards, including the Best Paper Award at major conferences. His lab is recognized for enhancing computational efficiency and predictive accuracy through advanced algorithms and neural network improvements, as well as collaborations with various fields, including ocean engineering, cybersecurity, and medical imaging. Prof. Shirakawa is a prominent figure in global academic circles, delivering tutorials at IEEE CEC and serving on program committees at major conferences such as ICML and NeurIPS.
Prof. Yifan Chen
Oktanto Dedi Winarko, S.T., M.Eng
Head of Researcher of Labs247
Dr. Chin Vun Jack BEng (Hons), PhD
Dr. Chin Vun Jack, BEng (Hons), PhD is an Assistant Professor in Electrical and Electronic Engineering at the University of Southampton Malaysia. He graduated top of his cohort in 2013 with a first‑class honours bachelor’s degree in Electrical Engineering from Universiti Tun Hussein Onn Malaysia, earning the Vice Chancellor’s Award. He subsequently obtained his PhD at Universiti Teknologi Malaysia for his contributions to advanced soft‑computing based techniques for performance characterization of solar photovoltaic (PV) systems. In 2018 he joined the Centre of Electrical Energy Systems as a post‑doctoral research fellow and published novel computational models for PV systems, including a rapid simulation technique for partially shaded PV arrays featured in PV Magazine. His current research interests include renewable energy system optimization and machine learning for fault diagnosis and performance enhancement of solar PV systems. He teaches courses in Control Systems & Communications, Power Electronics & Drives, and E&E Engineering Design.
Big Data Tutorial
Ismail Fahmi, Ph. D
Founder Drone Emprit
From Big Data to Big Decisions: AI Co-Founder as Indonesia’s Innovation Engine
In the era of the digital economy, the speed at which decisions are made determines the competitive edge of an organization. Abundant data is no longer enough — what is needed is the ability to transform this data into decisions that are fast, precise, and impactful. This session discusses how the combination of Big Data, Machine Learning, and Large Language Models (LLM) gives birth to a new concept: the AI Co-Founder.
An AI Co-Founder is not just a digital assistant, but a strategic partner capable of analyzing data on a large scale, predicting market opportunities, generating product ideas, and providing data-driven recommendations almost in real-time. With the support of technologies such as automated data pipelines, generative AI models, and AI agents, innovation can be created faster, cheaper, and more measurably.
This session is designed to offer a new perspective on how leaders, technology practitioners, and policymakers can leverage AI as a catalyst for innovation, not just an analytical tool.
Sigit Prasetyo, S.T, M.M
Chairperson of idBigData – Indonesian Big Data Community
Starting from Scratch: Concepts and Implementation of Building Agentic AI for Beginners
This session is designed to help participants understand the basic concepts and initial practices in building Agentic AI — artificial intelligence systems capable of making autonomous decisions, executing tasks without direct intervention, and adapting to given objectives.
Participants will be introduced to the foundational ideas behind agentic AI, from how agents operate, modular architecture, integration with Large Language Models (LLM), to techniques for connecting agents with various tools and workflows. In this session, participants will build an AI Agent using Flowise, a visual low-code/no-code builder used to create AI applications based on Large Language Models (LLM) and agentic workflows in an easy, intuitive, and fast manner.
This session is ideal for beginners who want to understand how agentic AI technology can be used for task automation, intelligent assistance, business optimization, and building AI prototypes that can work independently.
Collaborators
We invite several universities to collaborate with us. The confirmed collaborators are:
- Dr. Vishwanath Karad – MIT World Peace University (India)
- University of Santo Tomas (Philippines)
- National University (Philippines)
- Academy of Future Education, Xi’an Jiaotong – Liverpool University (China)
Registration ICETISI 2025
Registration for ICETISI 2025 is open for students, IEEE members, presenters, and those registering a second paper. Join us to access all sessions, network with experts, and explore the latest trends in Information Systems and Informatics
| Domestic Participant | Early Bird | |
|---|---|---|
| Online | Onsite | |
| Student (IEEE Member) | Rp. 2.000.000 | Rp. 3.000.000 |
| Student (Regular/Non IEEE Member) | Rp 2.500.000 | Rp 4.500.000 |
| Profesional (IEEE Member) | Rp 2.500.000 | Rp. 4.000.000 |
| Profesional (Regular/Non IEEE Member) | Rp. 3.000.000 | Rp. 5.000.000 |
| Extra Paper (2nd, 3rd paper, etc) | Rp. 1.200.000 | Rp. 1.200.000 |
| Attendee (without paper) | - | Rp. 600.000 |
| International Participants | Early Bird | |
|---|---|---|
| Online | Onsite | |
| Student (IEEE Member) | $120 | $200 |
| Student (Regular/Non IEEE Member) | $150 | $300 |
| Profesional (IEEE Member) | $150 | $250 |
| Profesional (Regular/Non IEEE Member) | $200 | $350 |
| Extra Paper (2nd, 3rd paper, etc) | $180 | $300 |
| Attendee (without paper) | - | $75 |
Guidelines ICETISI 2025
Author Guidelines
Author Policy
Publications ICETISI 2025
The proceeding of the conference will be published in IEEExplore, a well-known Scopus-indexed database in the field of electrical, electronic, and computer engineering.
With a commitment to high academic standards, all accepted presented papers will be submitted in the IEEE Xplore Digital Library which is indexed by Scopus, ensuring global visibility and recognition for the work presented.
No-Show Policy:
In case a paper is not presented at the conference, it shall be deemed a “no-show” and will be removed from the post-conference distribution and IEEExplore submission. The fees are not returned.
FLYER ICETISI 2025
The ICETISI 2025 flyer highlights the key details of the conference, including dates, venue, and topics. It invites researchers, professionals, and students to join this prestigious event at Universitas Nasional, Jakarta, on August 20-21, 2025. The flyer also showcases keynote speakers, submission deadlines, and registration information, emphasizing the event’s focus on cutting-edge trends in Information Systems and Informatics.
Jointly Organized
Sponsor
Join and support us in celebrating the future of technology! Proudly supported by several leading companies and organizations in the tech industry, ICETISI 2025 is designed to inspire innovation and collaboration on August 21-24, 2025
