Campus Online Food Ordering System Using Chatbot In Universiti Sains Islam Malaysia

Nowadays, people prefer to order food online since it is more convenient, especially university students who typically have a full schedule of assignments, courses, and club activities. Customers will find that placing their orders online and picking them up at the stand will be the most convenient and time-saving option. The aim of this study is to developed a campus-wide online food ordering system using a chatbot called FoodieRunBot that delivers food orders to faculty, staff, and students at Universiti Sains Islam Malaysia (USIM). In order to save time and effort, customer service needs to be automated. Throughout the shopping process, this chatbot might help the customer. FoodieRunOwner was created in order to assist stall owners in viewing and deleting orders from their stalls. The waterfall method is being used for this project to ensure sure the system development goes according to schedule and without hiccups. The four basic phases in this methodology are planning, requirements gathering, design, implementation, testing, and maintenance. Additionally, it helps entrepreneurs in USIM with better system-wide revenue development, customer engagement, and product promotion. Students at USIM were given a Google Form survey to complete in order to evaluate the system using the user acceptance test methodology. The results show that the system function has fully achieved all of its goals and
specifications. Most of them agree that all of the issues associated with conventional ordering systems in USIM have been fixed with FoodieRunBot.