Mi-Botway: a Deep Learning-based Intelligent University Enquiries Chatbot

(1) * Yurio Windiatmoko Mail (Master Program in Informatics, Department of Informatics, Universitas Islam Indonesia., Indonesia)
(2) Ahmad Fathan Hidayatullah Mail (Department of Informatics, Universitas Islam Indonesia)
(3) Dhomas Hatta Fudholi Mail (Department of Informatics, Universitas Islam Indonesia)
(4) Ridho Rahmadi Mail (Department of Informatics, Universitas Islam Indonesia)
*corresponding author


Intelligent systems for universities that are powered by artificial intelligence have been developed on a large scale to help people with various tasks. The chatbot concept is nothing new in today's society, which is developing with the latest technology. Students or prospective students often need actual information, such as asking customer service about the university, especially during the current pandemic, when it is difficult to hold a personal meeting in person. Chatbots utilized functionally as lecture schedule information, student grades information, also with some additional features for Muslim prayer schedules and weather forecast information. This conversation bot was developed with a deep learning model adopted by an artificial intelligence model that replicates human intelligence with a specific training scheme. The deep learning implemented is based on RNN which has a special memory storage scheme for deep learning models, in particular in this conversation bot using GRU which is integrated into RASA chatbot framework. GRU is also known as Gated Recurrent Unit, which effectively stores a portion of the memory that is needed, but removes the part that is not necessary. This chatbot is represented by a web application platform created by React JavaScript, and has 0.99 Average Precision Score.


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