Intention to use Technology to purchase coffee

This research aims to develop mobile application for ordering coffee to help increase convenience and reduce the waiting time from the coffee shop. It a was also used the Android platform for developing applications as a tool to help reduce time to wait for coffee orders. The behavior of the customer will send the customer information to the database using MySQL as the database management system and the coffee makers will follow the customer’s order from their applications. Customers bring their orders at the store and pay for coffee. Then the coffee makers will progress to make coffee and send coffee to customers. The purpose of this research is to investigate how technology can help customers to purchase coffee based on mobile application which customers can make new order, check order status, track order and register member. The research method was the model of System Development Life Cycle (SDLC) and relational database. The questionnaires were used to collect data about behaviour intention to use mobile payment. The results found that women often buy coffee in the morning before they go to work and their ages are between 23 and 30 years old.