A team of students from Universitas Gadjah Mada (UGM) participating in the Artificial Intelligence Talent Factory (AITF) Batch 1 2026, a collaborative program between Indonesia’s Ministry of Communication and Digital Affairs (Komdigi) and Universitas Gadjah Mada, has successfully developed an artificial intelligence (AI)-powered platform for monitoring public issues and digital conversations.
The platform automatically monitors online news and social media through data crawling, classifies emerging issues, analyzes public sentiment, maps media narratives, and generates daily briefs to support data-driven decision-making. Beyond processing text, the system is also capable of analyzing images and audio, presenting insights through an interactive dashboard, and providing an AI-powered chatbot to assist users in interpreting the collected information.
One of the student developers, Gevan, explained that the idea originated from the growing challenges of the digital economy, where the volume, diversity, and speed of information shared across social media have made manual monitoring and analysis increasingly difficult.
“Through this platform, monitoring public conversations, analyzing issues, and developing communication strategies can be carried out more quickly, systematically, and based on data,” he said during the Demo Day and Graduation of the Artificial Intelligence Talent Factory 2026 Batch 1, held at the Multimedia Room, UGM Central Building, on Wednesday (June 24).
According to Gevan, the platform follows an integrated workflow. It begins by identifying trending topics through Google Trends and Trends24 while also allowing users to input custom keywords based on specific monitoring needs. A keyword generation module then expands these keywords to drive the crawling engine, which collects multimodal content—including text, images, and audio—from online news portals and social media platforms.
The collected data is subsequently enriched using AI technologies. Images are processed through image captioning, while audio content is automatically converted into text using speech-to-text technology. The system then performs automatic labeling, sub-issue categorization, and sentiment analysis before storing the processed data in a centralized database and presenting it through an interactive monitoring dashboard.
Beyond monitoring, the dashboard groups related articles, generates concise summaries using the 5W+1H framework, identifies key stakeholders and their statements, and automatically produces daily briefing documents summarizing the most viral issues from the previous day.
“The platform provides decision-makers with a comprehensive overview of emerging public issues, enabling faster and more informed responses,” Gevan added.
The system is also equipped with an Early Warning System (EWS) that detects sudden spikes in online conversations or issues with the potential to go viral. Leveraging Large Language Models (LLMs), the platform analyzes digital narratives in real time and provides recommendations for proactive communication strategies based on the latest available information.
Meanwhile, Dr. Said Mirza Pahlevi, M.Eng., Head of the Digital Talent Development Center at the Ministry of Communication and Digital Affairs, praised the innovative solutions developed by the AITF participants. He noted that the projects reflect the outcomes of four months of intensive hands-on learning fostered through collaboration among universities, government, and industry.
He expressed his hope that the Demo Day and Graduation would serve not only as a showcase for students’ achievements but also as a forum for constructive discussions on advancing AI adoption in Indonesia.
“The AI solutions presented today demonstrate how artificial intelligence can be leveraged to understand the dynamics of public opinion and support faster, more accurate, and data-driven decision-making,” he concluded.
