Large Language Model: Design Mobile Platform for Problem Solving Ideation

This study focuses on creating a platform design using the TRIZ method to solve problems in business and management. TRIZ is known for its structured approach to problem-solving and has been effective in promoting innovation and improvement in products, services, and systems. However, while TRIZ is generally user-friendly, it is challenging to learn and apply it well. This often requires the help of TRIZ experts working with people who understand the specific area to find the best solutions. Since it was first developed, TRIZ has become much more important in business and management, helping with key areas like human resources and how organizations work. TRIZ remains vital in improving how problems are solved by serving different types of organizations, including social enterprises and non-profits. To overcome the challenges of using TRIZ, IT-based platforms have been very helpful, but the guidance of TRIZ experts is still crucial. Additionally, the rise of artificial intelligence (AI), especially Generative AI models, offers an exciting way to enhance TRIZ methods. Generative AI allows algorithms to analyze various data sources and create content such as text, images, audio, and video. Using Generative AI, interactions between users and systems become more human-like, allowing users to explain the specifics of their problems and what they want to achieve. AI then provides solutions based on TRIZ principles. The method used in this study includes Function Analysis (FA) modeling, which has three main stages: component analysis, interaction analysis, and function modeling. The result of this study is a user-friendly Generative AI function design, shown as a prompt interface that works with TRIZ knowledge. This interface provides users solution suggestions that match their goals, thus making the problem-solving process in business and management easier.