Develop a chatbot web application prototype for providing advice on requesting a budget of Fundamental Fund for Nakhon Pathom Rajabhat University

Abstract

This study aims to: 1) provide guideline to develop a chatbot web application prototype for providing advice on requesting a budget of Fundamental Fund for Nakhon Pathom Rajabhat University, 2) Evaluate the efficiency of a chatbot web application prototype for providing advice on requesting a budget of Fundamental Fund. Three computer specialists were chosen by the purposive sampling method. The research tools include 1) a chatbot web application prototype for providing advice on requesting a budget of Fundamental Fund, 2) an efficiency evaluation form of a chatbot web application prototype for providing advice on requesting a budget of Fundamental Fund. The statistics used are mean and standard deviation. The results indicate that chatbot web application prototype for providing advice on requesting a budget of Fundamental Fund has the overall efficiency level at the highest level (Mean = 4.69, S.D. = 0.47). The developed chatbot was then compared the accuracy with three other artificial intelligence chatbots, including 1) Gemini 1.0, 2) Microsoft Copilot, and 3) limited ChatGPT-4o, by generating 10 questions. Each question was asked three times, and the accuracy value was then calculated. It was found that the developed chatbot and ChatGPT-4o had the same accuracy of 96.7%, followed by Gemini 1.0 with the accuracy of 43.3%, and Microsoft Copilot with the accuracy of 36.7%.