AI-Assisted Digital Transaction Analysis Training for Generation Z Students in Cirebon and Sorong

Abstract

Digital transactions have become part of Generation Z's daily life, yet the use of QRIS, digital wallets, mobile banking, and paylater services is not always accompanied by the ability to read and examine transaction histories critically. This community service program aimed to strengthen Generation Z university students' ability to use Artificial Intelligence (AI) as a supporting tool for transaction analysis within an Accounting Information Systems (AIS) framework. The training was conducted simultaneously on 2 July 2026 at Universitas Muhammadiyah Cirebon and Institut Agama Islam Negeri Sorong and involved 59 students. A participatory training method was implemented through a needs assessment, pre-test, conceptual instruction, AI demonstrations, prompt-writing exercises, case simulations, mentoring, a post-test, and a satisfaction evaluation. Participants practised classifying transactions, detecting repeated or unusual entries, preparing expenditure summaries, and validating AI outputs against transaction evidence, contextual information, information-quality criteria, and internal-control principles. The mean score increased from 42.2 to 91.4, producing an N-gain of 0.851 in the high category. All participants achieved a post-test score of at least 80. Participant satisfaction reached 69% and was categorised as satisfied, although it remained below the 85% target. The results show that integrating AI and AIS helped participants analyse digital transactions more systematically and critically. However, longer practice sessions, more varied cases, and more intensive mentoring are required to support consistent application of the acquired skills.