Classification of halal product by using decision tree / Nor Shazwani Ismail

In "Ice Cream," (2009), there were many varieties of ice cream's flavours such as chocolate, strawberries, vanilla and coffee. However, be aware since some of the ice cream's ingredients contains alcohol and unknown resources. Currently, with the growth of ice cream production, m...

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Main Author: Nor Shazwani, Ismail
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/32844/
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author Nor Shazwani, Ismail
author_facet Nor Shazwani, Ismail
author_sort Nor Shazwani, Ismail
building UiTM Institutional Repository
collection Online Access
description In "Ice Cream," (2009), there were many varieties of ice cream's flavours such as chocolate, strawberries, vanilla and coffee. However, be aware since some of the ice cream's ingredients contains alcohol and unknown resources. Currently, with the growth of ice cream production, many manufacturers want to produce ice cream-based product. This research implementation is to classify the halal status of ice cream using decision tree. Several attributes are used in order to classify whether the ice cream is halal, haram or doubtful. This research also implements an experiment for three methods to find out which method to be used among J48 Decision Tree, Na'ive-Bayes Tree and Logistic Model Tree. The best accuracy result will be implemented in this prototype. Most of Halal system detection that was available is created only for their product inside the country. Besides, many researchers use decision tree to classify data but only a few of them focus on Halal product and because of that the decision tree was implemented in this research.
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institution Universiti Teknologi MARA
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publishDate 2013
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spelling uitm-328442020-07-27T07:11:57Z https://ir.uitm.edu.my/id/eprint/32844/ Classification of halal product by using decision tree / Nor Shazwani Ismail Nor Shazwani, Ismail Islam and science Technology Malaysia In "Ice Cream," (2009), there were many varieties of ice cream's flavours such as chocolate, strawberries, vanilla and coffee. However, be aware since some of the ice cream's ingredients contains alcohol and unknown resources. Currently, with the growth of ice cream production, many manufacturers want to produce ice cream-based product. This research implementation is to classify the halal status of ice cream using decision tree. Several attributes are used in order to classify whether the ice cream is halal, haram or doubtful. This research also implements an experiment for three methods to find out which method to be used among J48 Decision Tree, Na'ive-Bayes Tree and Logistic Model Tree. The best accuracy result will be implemented in this prototype. Most of Halal system detection that was available is created only for their product inside the country. Besides, many researchers use decision tree to classify data but only a few of them focus on Halal product and because of that the decision tree was implemented in this research. 2013-07-18 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/32844/1/32844.pdf Nor Shazwani, Ismail (2013) Classification of halal product by using decision tree / Nor Shazwani Ismail. (2013) Degree thesis, thesis, Universiti Teknologi MARA Cawangan Perak. <http://terminalib.uitm.edu.my/32844.pdf>
spellingShingle Islam and science
Technology
Malaysia
Nor Shazwani, Ismail
Classification of halal product by using decision tree / Nor Shazwani Ismail
title Classification of halal product by using decision tree / Nor Shazwani Ismail
title_full Classification of halal product by using decision tree / Nor Shazwani Ismail
title_fullStr Classification of halal product by using decision tree / Nor Shazwani Ismail
title_full_unstemmed Classification of halal product by using decision tree / Nor Shazwani Ismail
title_short Classification of halal product by using decision tree / Nor Shazwani Ismail
title_sort classification of halal product by using decision tree / nor shazwani ismail
topic Islam and science
Technology
Malaysia
url https://ir.uitm.edu.my/id/eprint/32844/