Hilman Singgih Wicaksana

Hilman Singgih Wicaksana

Lecturer & Researcher

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

certification

portfolio

publications

Determining community happiness index with transformers and attention-based deep learning

Published in IAES International Journal of Artificial Intelligence (IJ-AI), 2024

Scopus Q2

Recommended citation: H. S. Wicaksana, R. Kusumaningrum, and R. Gernowo, “Determining community happiness index with transformers and attention-based deep learning,” IAES International Journal of Artificial Intelligence (IJ-AI), vol. 13, no. 2, p. 1753-1761, June 2024, doi: 10.11591/ijai.v13.i2.pp1753-1761
Download Paper

URL-Based Phishing Detection Using a BERT-LSTM Model

Published in Journal of Information Systems and Informatics (ISI), 2026

SINTA 2

Recommended citation: H. S. Wicaksana, U. Ependi, and A. Muzakir, “URL-Based Phishing Detection Using a BERT-LSTM Model”, Journal of Information Systems and Informatics (ISI), vol. 8, no. 1, pp. 1344–1367, Apr. 2026, doi: 10.63158/journalisi.v8i1.1543.
Download Paper

talks

Alumni Berbagi: Become A Professional Intern

Published:

Honored to share my experiences and insights with the students of SMK Telkom Purwokerto as one of its alumni. The session explored my journey from studying at SMK Telkom Purwokerto to pursuing higher education, including the academic and non-academic experiences that shaped my personal and professional development. The discussion also highlighted my internship journey and experiences working as a teacher at SMK Telkom Purwokerto. Participants were encouraged to make the most of their learning opportunities, continuously develop their skills, and build experiences that can support their future academic and career journeys.

The Use of Artificial Intelligence Based on Ethical, Legal, and Data Security Aspects

Published:

Honored to speak at a community service workshop attended by dozens of students from the Faculty of Law, Management, and Informatics at Universitas Karya Husada Semarang. The session explored how Artificial Intelligence can be utilized responsibly while maintaining ethical awareness and compliance with legal principles. The discussion highlighted the importance of understanding both the opportunities and potential risks of AI, particularly in preventing the misuse of technology for irresponsible or harmful purposes. Participants were encouraged to develop a critical and responsible approach to using AI while considering its ethical, legal, and social implications. The session concluded by emphasizing that technological advancement should be accompanied by strong human values, ethical responsibility, and a commitment to using AI for meaningful and positive purposes.

AI Needs Data, Industry Needs You: Opportunities & Data Science Skills in the Future

Published:

Honored to speak at a webinar on Data Science and Artificial Intelligence (AI) organized by Dunia Coding, attended by more than 100 participants from diverse backgrounds, including students, academics, and professionals from computer science and other disciplines. The session explored the fundamental role of data as the fuel that powers Artificial Intelligence and enables organizations to make more informed, data-driven business decisions. The discussion highlighted how the combination of Data Science and AI can transform raw data into valuable insights and intelligent solutions. Participants were encouraged to understand the importance of data as a foundation for developing AI systems and driving innovation across various industries.

Level Up Your AI Skills: Practical Emotion Detection with Machine Learning in 2 Days

Published:

Honored to speak at a Data Science Workshop organized by Dunia Coding, attended by more than 25 participants. The workshop explored the end-to-end process of building a Machine Learning application, from developing a predictive model to preparing it for real-world use. The session covered the development of Machine Learning algorithms, model optimization through hyperparameter tuning, and performance evaluation to ensure the model produces reliable results. Participants also gained practical experience in deploying the trained model through a Streamlit-based web application, allowing users to perform predictions directly using their own input. The workshop concluded by emphasizing the importance of understanding the complete Machine Learning workflow, as building a model is only one part of developing an effective and usable AI solution.

Industrial Digitalization, Artificial Intelligence, and Cybersecurity

Published:

Honored to speak at the National Seminar titled “Multidisciplinary Synergy in Advancing the Modern Industrial Revolution”, organized by the Student Executive Board of the Faculty of Engineering at Wahid Hasyim University and attended by more than 90 participants through both online and offline sessions. The session, titled “Industrial Digitalization, Artificial Intelligence, and Cybersecurity”, explored the growing role of digital transformation, AI, and cybersecurity in shaping the future of modern industries. The discussion highlighted how Artificial Intelligence is becoming a key driver of transformation across various sectors, including healthcare, education, energy, and cybersecurity, while also emphasizing the importance of protecting digital systems in an increasingly connected world. Participants were encouraged to understand the opportunities and risks associated with emerging technologies and to develop the knowledge and skills needed to adapt to the evolving industrial landscape. The session concluded by emphasizing that technological advancement must be accompanied by ethical responsibility, human oversight, and responsible AI implementation to ensure that innovation continues to create meaningful and sustainable benefits for society.

NLP for Beginners: Build an Anti-Spam AI Using Deep Learning

Published:

Honored to speak at the Mini Class Deep Learning organized by Dunia Coding, where participants explored the end-to-end process of building Deep Learning applications. The four-day program covered spam message prediction, hyperparameter tuning, model deployment, and the development of an LSTM-based spam detection portfolio. Through hands-on practice using Google Colab and Visual Studio Code, participants gained practical experience in building and improving Deep Learning models from scratch to real-world applications. The session highlighted that learning Deep Learning is not only about training models but also about understanding how to optimize, deploy, and transform them into functional solutions. Participants were encouraged to continue experimenting, learning from failures, and developing their skills to create impactful applications in the field of Natural Language Processing.

Learning Data Science in the Age of AI: What Skills Will the Industry Still Be Looking for in 2026?

Published:

Honored to speak at a webinar titled “Learning Data Science in the Age of AI: What Skills Will the Industry Still Be Looking for in 2026?”, attended by more than 70 participants. The session explored the evolving skills required to remain competitive in the Data Science field amid the rapid advancement of Artificial Intelligence. The discussion highlighted the importance of combining strong technical capabilities with adaptability, problem-solving, and practical experience to meet industry demands. Participants were also encouraged to identify ways to differentiate themselves from other candidates by building relevant skills, developing meaningful portfolios, and demonstrating their ability to solve real-world problems.

The Rise of AI Era: Smart Technology Transformation as a Career Development Opportunity in the Digital Age

Published:

Honored to speak at the Career Preparation Seminar organized by the Student Association of Electrical Engineering, Telkom University Purwokerto, my alma mater during my undergraduate studies. The session, titled “The Rise of the AI Era: Intelligent Technology Transformation as an Opportunity for Career Development in the Digital Age,” explored the rapid advancement of Artificial Intelligence and emerging technologies. The discussion highlighted the importance of building strong foundations in Data Science, Machine Learning, Deep Learning, and Generative AI to remain relevant in an increasingly technology-driven workforce. Participants were encouraged to continuously develop their knowledge and skills, embrace technological adaptability, and explore how AI can create meaningful opportunities across various industries. The session concluded by emphasizing that AI should not be viewed as a replacement for human capabilities, but as a technology that can empower individuals to solve problems and create a meaningful impact.

AI Is Getting Smarter: Hone Your Skills and Build Trustworthy AI to Meet Industry Demands

Published:

Honored to speak at a webinar on “Trustworthy AI” organized by the Student Association of Information Systems at Atma Jaya Catholic University of Indonesia, Jakarta, attended by more than 50 participants from both academic and public backgrounds. The session, titled “Foundations of Data Science in Trustworthy AI”, explored the importance of building AI systems that are not only accurate but also fair, transparent, secure, and accountable. The discussion highlighted the role of Data Science as a fundamental component in developing responsible AI, covering the challenges of AI in industry, the growing need for Trustworthy AI, and the importance of building reliable AI pipelines. Participants were encouraged to strengthen their understanding of Data Science and AI while considering ethical principles, transparency, and real-world industry needs. The session concluded by emphasizing that the future of AI will not only be determined by how advanced the technology becomes, but also by how much trust it can earn from users, organizations, and society.

Gen Z & Artificial Intelligence: Maximizing Productivity and Creativity with AI

Published:

Honored to speak at the National Seminar titled “Gen Z & Artificial Intelligence: Maximizing Productivity and Creativity with AI”, organized by the Student Association of the Information Systems Study Program at STMIK Widya Utama Purwokerto. The session explored how Artificial Intelligence can be utilized responsibly to enhance productivity, creativity, and readiness for the rapidly evolving digital workplace. The discussion highlighted the importance of understanding AI beyond its growing popularity, using it to support learning and professional activities, generate innovative ideas, and strengthen critical thinking skills. Participants were encouraged to develop relevant competencies and embrace AI as a tool for innovation rather than becoming overly dependent on technology. The session concluded by emphasizing that AI is not a replacement for human creativity, but a powerful tool that can empower the younger generation to create meaningful solutions and make a positive contribution to society.

Artificial Intelligence: Opportunities and Challenges for Civil Servants

Published:

Honored to speak at the Kamis Belajar Webinar organized by BKPSDM Kabupaten Tegal, attended by more than 500 participants from diverse backgrounds, including members of the public and civil servants from across Indonesia. The session, titled “Artificial Intelligence: Opportunities and Challenges for Civil Servants”, explored the growing role of Artificial Intelligence in transforming the way public services and government institutions operate. The discussion highlighted both the opportunities and challenges of AI adoption, including its potential to improve productivity, support decision-making, and enhance public services while raising important considerations around digital skills, ethics, and responsible implementation. Participants were encouraged to develop a deeper understanding of AI and continuously strengthen their skills to adapt to the rapidly evolving digital landscape. The session concluded by emphasizing that the future of public service will not only depend on technological advancement, but also on the ability of civil servants to leverage AI responsibly, effectively, and for the benefit of society.

Artificial Intelligence in Research: The Use of Tools and Its Implication in Health

Published:

Honored to speak at a webinar titled “Artificial Intelligence in Research: The Use of Tools and Its Implication in Health”, attended by dozens of participants from the Ruang Research community. The session explored the growing role of Artificial Intelligence in supporting research activities, particularly through the use of AI-powered tools to enhance productivity, analysis, and knowledge discovery. The discussion also highlighted the implications of AI in the health sector, including its potential to support research, improve decision-making, and contribute to the development of innovative solutions. Participants were encouraged to understand both the opportunities and responsibilities associated with AI adoption in research and health. The session concluded by emphasizing that the use of AI should be guided by critical thinking, ethical considerations, and responsible practices to ensure that technological advancement creates meaningful benefits for research and society.

Mini Class Practical Machine Learning: Build an AI System to Detect Comments Promoting Online Gambling Using Machine Learning in 4 Days

Published:

Honored to facilitate a Mini Class on Practical Machine Learning from August 24–27, 2026, titled “Build an AI System to Detect Comments Promoting Online Gambling Using Machine Learning in 4 Days”. The session guided participants through the practical process of building a Machine Learning system, starting with Data Preparation and Exploratory Data Analysis (EDA) to prepare and understand the characteristics of the data. The discussion continued with building and optimizing a Machine Learning model to detect comments promoting online gambling and evaluate its performance. Participants also learned how to deploy the trained model using Streamlit and transform it into a simple, practical application.

Industrial Transformation Through Artificial Intelligence: Data Science as the Foundation of AI for the Industry of the Future

Published:

Honored to speak at a webinar titled “Industrial Transformation Through Artificial Intelligence: Data Science as the Foundation of AI for the Industry of the Future”, organized by RISTIE HMTE Universitas Brawijaya and attended by more than 40 students from several universities. The session explored the growing role of Artificial Intelligence in driving industrial transformation and highlighted Data Science as a fundamental foundation for developing effective AI solutions. The discussion emphasized the importance of understanding data, analytical thinking, and AI technologies to address real-world challenges and meet the evolving needs of future industries. Participants were encouraged to strengthen their knowledge and practical skills in Data Science and Artificial Intelligence to prepare themselves for the opportunities and challenges of an increasingly technology-driven industrial landscape. The session concluded by emphasizing that the future of industry will be shaped not only by advanced AI technologies, but also by the ability of future talents to transform data into meaningful insights and impactful solutions.

Training Software Statistics - From Prompt to Code: AI Implementation in Google Colab

Published:

Honored to conduct a Software Statistics training at Diponegoro University, focusing on how Artificial Intelligence (AI) can assist the data analysis process through prompt engineering and practical implementation. The training explored how clear and well-structured instructions can be transformed into executable Python code with the help of AI and run directly in Google Colab. The session highlighted the importance of evaluating AI-generated code and ensuring that the resulting analysis is accurate, relevant, and logically sound. Participants were encouraged to use AI as an assistant in statistical analysis while maintaining critical thinking, data understanding, and human judgment throughout the process.

teaching