Utilizing Generative AI Technology for the Development of Cinema Ticketing Information Systems: A Case Study on Lovable.IA Implementation

Abstract

The development of artificial intelligence has enabled new methods for information system development, such as the use of prompt-based generative platforms like Lovable.IA (a generative AI platform). This research is to create a web-based cinema ticketing information system with Lovable.IA and Supabase as the backend database. The methodology used is a system development approach with six phases: user interface design, movie data input, seat selection, payment integration (QRIS – Quick Response Code Indonesian Standard), admin login, and contact information display. The results show that Lovable.IA supports a rapid and cost-effective system development process that delivers responsive and user-centric interfaces. Supabase was integrated for real-time stable data interaction so that the system can respond to the user’s input swiftly. The results of this study suggest that a generative AI-based approach can simplify information system development, particularly for non-technical users. Although there are minor constraints such as daily usage limitations and the requirement for multiple prompts, this method still proves its dominance in developing effective web-based systems. This study contributes to the body of knowledge by advancing the application of generative AI technology in digital information system development, specifically in the education and business domains