Expert System Shell Based On AIML And FAQ

In the 2016, Forbes Magazine put McDonald's as the best fast food chains. The main factor of McDonald's achievements is the customers convenience. Currently, the system that is running in McDonald's generally less effective and lack of its time efficiency. Based on this problem the au...

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Main Author:	Muchamad, Masduki Khamdan
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	Q Science (General) QA76 Computer software
Online Access:	http://eprints.utem.edu.my/id/eprint/20758/1/Expert%20System%20Shell%20Based%20On%20AIML%20And%20FAQ%20-%20Masduki%20Khamdan%20Muchamad%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20758/2/Expert%20System%20Shell%20Based%20On%20AIML%20And%20FAQ.pdf
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id	my-utem-ep.20758
record_format	uketd_dc
spelling	my-utem-ep.207582022-02-18T15:11:00Z Expert System Shell Based On AIML And FAQ 2017 Muchamad, Masduki Khamdan Q Science (General) QA76 Computer software In the 2016, Forbes Magazine put McDonald's as the best fast food chains. The main factor of McDonald's achievements is the customers convenience. Currently, the system that is running in McDonald's generally less effective and lack of its time efficiency. Based on this problem the author aims to develop an intelligent system based on AIML interpreter, this application called as McBot intelligent system which is web based mobile application by transforming it into an intelligent waiter. There are three knowledge base to build the McBot intelligent base, which are Annotated A.L.I.C.E. AIML (AAA) files, Domain Specific Conversation and Frequently Asked Questions (FAQ). To implement this research, qualitative approach is used in this research. The evaluation of the McBot’s intelligence system is done by using black-box testing which is conducted using fifty datasets compiled from past competition questions of Loebner Prize Scored. The results of this testing was McBot was able to scored 72 points out of 100 points. Based on the result most of the questions are properly and correctly answered with total of 32 questions, 8 questions are partially met by the response and 10 questions are not met at all by the response. The results have shown that McBot has great potential being a conversation bot that can interact with end users. Even though the intelligent in this study is limited to only an general knowledge base and promotion, more information about the product can be added in the future. The contribution of this project is to build the McDonald’s expert system shell to adapt generic AIML and FAQ. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20758/ http://eprints.utem.edu.my/id/eprint/20758/1/Expert%20System%20Shell%20Based%20On%20AIML%20And%20FAQ%20-%20Masduki%20Khamdan%20Muchamad%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/20758/2/Expert%20System%20Shell%20Based%20On%20AIML%20And%20FAQ.pdf text en validuser http://libraryopac.utem.edu.my/webopac20/Record/0000106532 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	Q Science (General) QA76 Computer software
spellingShingle	Q Science (General) QA76 Computer software Muchamad, Masduki Khamdan Expert System Shell Based On AIML And FAQ
description	In the 2016, Forbes Magazine put McDonald's as the best fast food chains. The main factor of McDonald's achievements is the customers convenience. Currently, the system that is running in McDonald's generally less effective and lack of its time efficiency. Based on this problem the author aims to develop an intelligent system based on AIML interpreter, this application called as McBot intelligent system which is web based mobile application by transforming it into an intelligent waiter. There are three knowledge base to build the McBot intelligent base, which are Annotated A.L.I.C.E. AIML (AAA) files, Domain Specific Conversation and Frequently Asked Questions (FAQ). To implement this research, qualitative approach is used in this research. The evaluation of the McBot’s intelligence system is done by using black-box testing which is conducted using fifty datasets compiled from past competition questions of Loebner Prize Scored. The results of this testing was McBot was able to scored 72 points out of 100 points. Based on the result most of the questions are properly and correctly answered with total of 32 questions, 8 questions are partially met by the response and 10 questions are not met at all by the response. The results have shown that McBot has great potential being a conversation bot that can interact with end users. Even though the intelligent in this study is limited to only an general knowledge base and promotion, more information about the product can be added in the future. The contribution of this project is to build the McDonald’s expert system shell to adapt generic AIML and FAQ.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Muchamad, Masduki Khamdan
author_facet	Muchamad, Masduki Khamdan
author_sort	Muchamad, Masduki Khamdan
title	Expert System Shell Based On AIML And FAQ
title_short	Expert System Shell Based On AIML And FAQ
title_full	Expert System Shell Based On AIML And FAQ
title_fullStr	Expert System Shell Based On AIML And FAQ
title_full_unstemmed	Expert System Shell Based On AIML And FAQ
title_sort	expert system shell based on aiml and faq
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20758/1/Expert%20System%20Shell%20Based%20On%20AIML%20And%20FAQ%20-%20Masduki%20Khamdan%20Muchamad%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20758/2/Expert%20System%20Shell%20Based%20On%20AIML%20And%20FAQ.pdf
_version_	1747834000281436160

Expert System Shell Based On AIML And FAQ

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