Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/23626
Title: UNISEL BOT: DESIGNING SIMPLE CHATBOT SYSTEM FOR UNIVERSITY FAQS
Authors: Nahdatul Akma Ahmad
Mohamad Hafiz Che Hamid
Azaliza Zainal
Zirawani Baharum
(UniKL MITEC)
Keywords: Artificial Intelligence Markup Language (AIML)
Chatbot
Instant Messaging
Pattern Matching
Issue Date: 8-Jan-2020
Abstract: Artificial Intelligence Markup Language (AIML), Chatbot, Instant Messaging, Pattern Matching.The UNISEL Bot system was developed for helping marketing department in order to help on giving information in interactive mode for marketing purpose. The current problem is the information are not served in interactive ways, manually serving information using portal and paper are complicated and there is no real-time customer support to help on question and answer. In the era of technology, the information should be served in an interactive platform. The interactive information tends to gather more user attention. Therefore, this project aims to develop marketing assistant Chatbot system for a private academic institution which known as UNISEL Bot. The Chatbot system development is expected to assist the marketing department to use smarter marketing and interactive ways, for instance; to receive FAQs from student and provide real-time feedback whilst encourage people to engage with latest technology. Agile methodology was used in the development of this Chatbot system. Qualitative data gathering using interview method with students and University staffs was implemented. Multiple diagram is presented in this paper to describe the process flow of UNISEL Bot system. UNISEL Bot system was made up of seven main modules including the Ask Question, Feedback, Registration, Event, Appointment, Survey and Map. In future, this Chatbot system can work effectively to replace the traditional method of manual customer service and can also helping people in capturing user data for building analytic data.
URI: http://ir.unikl.edu.my/jspui/handle/123456789/23626
ISSN: 2278-3075
Appears in Collections:Conference Papers

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