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From Technology for Society: Through Workshop 3, UB Students' AI Innovations Are Ready to Address Educational and Social Welfare Challenges

Education • 10 Jun 2026 • By Admin Konten • 19 views
--> From Technology for Society: Through Workshop 3, UB Students' AI Innovations Are Ready to Address Educational and Social Welfare Challenges

Here is the English translation of the press release, keeping a professional and journalistic tone that matches the original article:

From Technology for Society: Through Workshop 3, UB Students' AI Innovations Are Ready to Address Educational and Social Welfare Challenges

MALANG, June 9, 2026 – The Ministry of Communication and Digital (Komdigi), together with the Faculty of Computer Science at Universitas Brawijaya (FILKOM UB), successfully hosted Workshop 3 of the Artificial Intelligence Talent Factory (AITF) Program. Aimed at producing reliable digital talents, the two-day event took place from June 8–9, 2026, at the Algoritma Building, FILKOM UB.

This workshop served as a crucial stage where 38 selected students integrated and refined their work. The main focus was developing applied Artificial Intelligence (AI) technology to solve two real-world community problems: innovating learning systems for Sekolah Rakyat (Community Schools) and creating a smart system for Poverty Mapping and Social Assistance.

AI Innovations for Real-World Community Solutions

During the workshop, participants received direct guidance from Komdigi experts and stakeholders to ensure the technologies created were truly applicable. The following are the two main innovations that were further refined:

  • More Interactive Education (Sekolah Rakyat): Students created a smart learning application equipped with a virtual assistant (chatbot). This AI system can detect students' emotions through a camera to determine if they are bored or struggling. It then automatically adjusts the learning materials and provides educational games tailored to the student's cognitive abilities.

  • Targeted Social Assistance (Poverty Mapping): The student team designed a smart system to select citizens most entitled to receive social assistance, such as the Family Hope Program (Program Keluarga Harapan/PKH) Plus. Remarkably, this system can automatically analyze photos of a house's physical condition (walls, roof, floor) to validate the recipient's eligibility, making the distribution far more accurate and preventing misallocation.

Cross-Agency Collaboration Realizes Data-Driven Policies

The success of this program is inseparable from the solid cooperation between the Central Government (Komdigi and the Ministry of Social Affairs), academia (Universitas Brawijaya), and the Regional Government (The Communication and Informatics Agency and the Social Services Agency of East Java Province).

Closing the event, the Vice Dean of FILKOM UB, Sabriansyah Rizqika Akbar, expressed his appreciation for the dedication of all participants and the support from various parties throughout the program. He emphasized the importance of developing optimal artificial intelligence models so that the results can be put to practical use immediately by relevant agencies.

The AITF program is expected to continue serving as a collaborative learning platform capable of producing young innovators. The hope is that this generation will not only be technically skilled but also capable of solving the nation's problems through accurate, data-driven policies