JAKARTA – Member of the Indonesian House of Representatives (DPR RI) from the Prosperous Justice Party (PKS) faction, Junaidi Auly, expressed his support for the development of Gate AI, an innovative project by students of the University of Lampung (Unila), designed to automatically detect and block online gambling sites.
“Gate AI is a sophisticated solution capable of quickly and accurately detecting online gambling sites. With the support of technology like this, we can be more effective in eradicating illegal gambling and protecting the younger generation,” Junaidi said.
The graduate of the Master of Management program at the University of Lampung considered the system a major breakthrough in tackling the rise of online gambling, which has become increasingly widespread and troubling to society. By applying artificial intelligence and machine learning algorithms, Gate AI can monitor online activities and identify suspicious sites in real time.
“Once detected, the site can be automatically blocked, minimizing the spread of online gambling in the community,” he stressed.
Furthermore, Junaidi, who hails from Lampung, expressed high hopes that this student innovation could soon be widely implemented. According to him, law enforcement agencies and other relevant institutions could utilize this technology for both preventive and repressive measures.
“We are proud of our students who are able to provide real solutions to social and criminal problems in society,” he added.
Previously, five students of the University of Lampung (Unila) successfully developed Gate AI, which functions to detect online gambling sites quickly and accurately. They are Aulia Rafly Lubis as team leader, Mohamad Ghinau Thofadilah, Eka Arinda, Belia Nabila Putri, and Zaka Kurnia Rahman.
The five students are part of the Constructive Ideas Video Program (PKM-VGK) team at the University of Lampung. Their innovation, named Gambling Activity Tracing Engine (GATE), successfully secured funding through the 2025 Student Creativity Program (PKM) across eight fields from the Directorate of Learning and Student Affairs at the Ministry of Higher Education, Research, and Technology.
GATE is designed to detect, trace, and help block online gambling activities using an SSR (Screen, Secure, Report) approach. This means the system can automatically filter suspicious sites, secure data on user activities, and report them to relevant authorities.
Zaka Kurnia Rahman, one of the team members, explained that GATE is not only focused on blocking but also on systematic prevention.
“Through an AI-based approach, GATE is not only focused on blocking but also on systematic prevention through data analysis and activity patterns,” he explained.