Benchmarking of halal food products using similarity measures – a conceptual retrieval model

Muslims are concerned with the Halal status of food products sold in the supermarkets. Many products that are imported from overseas are not certified by JAKIM. In this paper, we proposed a conceptual model for benchmarking food products against certified Halal products. Our motivation i...

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Main Authors:	Mohd Tamrin, Mohd Izzuddin, Turaev, Sherzod, Che Azemin, Mohd Zulfaezal, Mohamed Razi, Mohamed Jalaldeen, Mahamad Maifiah, Mohd Hafidz
Format:	Article
Language:	English
Published:	Faculty of Information and Communication Technology, International Islamic University Malaysia 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/72460/ http://irep.iium.edu.my/72460/ http://irep.iium.edu.my/72460/1/72460_Benchmarking%20of%20halal%20food%20products.pdf

id	iium-72460
recordtype	eprints
spelling	iium-724602019-07-11T08:55:14Z http://irep.iium.edu.my/72460/ Benchmarking of halal food products using similarity measures – a conceptual retrieval model Mohd Tamrin, Mohd Izzuddin Turaev, Sherzod Che Azemin, Mohd Zulfaezal Mohamed Razi, Mohamed Jalaldeen Mahamad Maifiah, Mohd Hafidz QA75 Electronic computers. Computer science Muslims are concerned with the Halal status of food products sold in the supermarkets. Many products that are imported from overseas are not certified by JAKIM. In this paper, we proposed a conceptual model for benchmarking food products against certified Halal products. Our motivation is to provide similarity measurement between certified and non-certified food products based on their ingredients. This model comprises three main phases: ingredient acquisition, ingredient transformation and similarity measures calculation. In the first phase, web crawlers are employed to retrieve product information from JAKIM online database and supermarket web pages. In the second phase, an index structure will be constructed to allow faster ingredient retrieval which will be used for similarity calculation. In the last phase, Euclidian distance, cosine similarity measure and Jaccard correlation coefficient will be used to measure the similarities between two products. Our proposed model is to complement but not to replace the existing JAKIM procedure to verify food products by empowering Muslim consumers with informed decision making. Faculty of Information and Communication Technology, International Islamic University Malaysia 2019-05-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72460/1/72460_Benchmarking%20of%20halal%20food%20products.pdf Mohd Tamrin, Mohd Izzuddin and Turaev, Sherzod and Che Azemin, Mohd Zulfaezal and Mohamed Razi, Mohamed Jalaldeen and Mahamad Maifiah, Mohd Hafidz (2019) Benchmarking of halal food products using similarity measures – a conceptual retrieval model. Journal of Information Systems and Digital Technologies, 1 (1). pp. 17-24. E-ISSN 2682-8790 https://journals.iium.edu.my/kict/index.php/jisdt/article/view/85/61
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mohd Tamrin, Mohd Izzuddin Turaev, Sherzod Che Azemin, Mohd Zulfaezal Mohamed Razi, Mohamed Jalaldeen Mahamad Maifiah, Mohd Hafidz Benchmarking of halal food products using similarity measures – a conceptual retrieval model
description	Muslims are concerned with the Halal status of food products sold in the supermarkets. Many products that are imported from overseas are not certified by JAKIM. In this paper, we proposed a conceptual model for benchmarking food products against certified Halal products. Our motivation is to provide similarity measurement between certified and non-certified food products based on their ingredients. This model comprises three main phases: ingredient acquisition, ingredient transformation and similarity measures calculation. In the first phase, web crawlers are employed to retrieve product information from JAKIM online database and supermarket web pages. In the second phase, an index structure will be constructed to allow faster ingredient retrieval which will be used for similarity calculation. In the last phase, Euclidian distance, cosine similarity measure and Jaccard correlation coefficient will be used to measure the similarities between two products. Our proposed model is to complement but not to replace the existing JAKIM procedure to verify food products by empowering Muslim consumers with informed decision making.
format	Article
author	Mohd Tamrin, Mohd Izzuddin Turaev, Sherzod Che Azemin, Mohd Zulfaezal Mohamed Razi, Mohamed Jalaldeen Mahamad Maifiah, Mohd Hafidz
author_facet	Mohd Tamrin, Mohd Izzuddin Turaev, Sherzod Che Azemin, Mohd Zulfaezal Mohamed Razi, Mohamed Jalaldeen Mahamad Maifiah, Mohd Hafidz
author_sort	Mohd Tamrin, Mohd Izzuddin
title	Benchmarking of halal food products using similarity measures – a conceptual retrieval model
title_short	Benchmarking of halal food products using similarity measures – a conceptual retrieval model
title_full	Benchmarking of halal food products using similarity measures – a conceptual retrieval model
title_fullStr	Benchmarking of halal food products using similarity measures – a conceptual retrieval model
title_full_unstemmed	Benchmarking of halal food products using similarity measures – a conceptual retrieval model
title_sort	benchmarking of halal food products using similarity measures – a conceptual retrieval model
publisher	Faculty of Information and Communication Technology, International Islamic University Malaysia
publishDate	2019
url	http://irep.iium.edu.my/72460/ http://irep.iium.edu.my/72460/ http://irep.iium.edu.my/72460/1/72460_Benchmarking%20of%20halal%20food%20products.pdf
first_indexed	2023-09-18T21:42:40Z
last_indexed	2023-09-18T21:42:40Z
_version_	1777413244253634560

Benchmarking of halal food products using similarity measures – a conceptual retrieval model

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