kNN: Classification of agarwood types in oil and wooden using E-nose

Agarwood is one of the most expensive woods existed that has been used in many fields such as ceremony, religion, medical and more. There are many spe-cies of agarwood which give different quality. The most high-demand species were A. Malaccensis and A. Crassna. However, there is hard to differentia...

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Main Authors: Mujahid, Mohamad, Muhammad Sharfi, Najib, Saiful Nizam, Tajuddin, Suhaimi, Mohd Daud, Nur Farina, Hamidon Majid, Suziyanti, Zaib, Muhamad Faruqi, Zahari
Format: Conference or Workshop Item
Language:English
English
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Online Access:http://umpir.ump.edu.my/id/eprint/32770/
http://umpir.ump.edu.my/id/eprint/32770/1/kNN-%20Classification%20of%20agarwood%20types%20in%20oil%20and%20wooden%20using%20E-nose.pdf
http://umpir.ump.edu.my/id/eprint/32770/2/kNN%20_Classification%20of%20agarwood%20types%20in%20oil%20and%20wooden%20using%20E-nose.pdf
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author Mujahid, Mohamad
Muhammad Sharfi, Najib
Saiful Nizam, Tajuddin
Suhaimi, Mohd Daud
Nur Farina, Hamidon Majid
Suziyanti, Zaib
Muhamad Faruqi, Zahari
author_facet Mujahid, Mohamad
Muhammad Sharfi, Najib
Saiful Nizam, Tajuddin
Suhaimi, Mohd Daud
Nur Farina, Hamidon Majid
Suziyanti, Zaib
Muhamad Faruqi, Zahari
author_sort Mujahid, Mohamad
building UMP Institutional Repository
collection Online Access
description Agarwood is one of the most expensive woods existed that has been used in many fields such as ceremony, religion, medical and more. There are many spe-cies of agarwood which give different quality. The most high-demand species were A. Malaccensis and A. Crassna. However, there is hard to differentiate be-tween both species either in oil or wooden medium. There is still no analytic standard method available to differentiate them. This study introduces a method of determining the types of agarwood specifically an A. Malaccensis and A. Crassna in oil and in the wooden medium using e-nose with k-Nearest Neighbour (kNN) analysis. In other to achieve that purpose, the objectives of this study were to develop the odor profile of A. Malaccensis and A. Crassna in oil and wooden medium, to classify A. Malaccensis and A. Crassna in oil and wooden medium using kNN classifier, and to measure the performance of kNN classifier on A. Malaccensis and A. Crassna on oil and wooden medium. As the result, the introduced method was able to classify both types of agarwood in both mediums with a high classification rate which is 94.5 percent accurate.
first_indexed 2025-11-15T03:07:45Z
format Conference or Workshop Item
id ump-32770
institution Universiti Malaysia Pahang
institution_category Local University
language English
English
last_indexed 2025-11-15T03:07:45Z
recordtype eprints
repository_type Digital Repository
spelling ump-327702021-12-07T07:57:30Z http://umpir.ump.edu.my/id/eprint/32770/ kNN: Classification of agarwood types in oil and wooden using E-nose Mujahid, Mohamad Muhammad Sharfi, Najib Saiful Nizam, Tajuddin Suhaimi, Mohd Daud Nur Farina, Hamidon Majid Suziyanti, Zaib Muhamad Faruqi, Zahari TP Chemical technology TS Manufactures Agarwood is one of the most expensive woods existed that has been used in many fields such as ceremony, religion, medical and more. There are many spe-cies of agarwood which give different quality. The most high-demand species were A. Malaccensis and A. Crassna. However, there is hard to differentiate be-tween both species either in oil or wooden medium. There is still no analytic standard method available to differentiate them. This study introduces a method of determining the types of agarwood specifically an A. Malaccensis and A. Crassna in oil and in the wooden medium using e-nose with k-Nearest Neighbour (kNN) analysis. In other to achieve that purpose, the objectives of this study were to develop the odor profile of A. Malaccensis and A. Crassna in oil and wooden medium, to classify A. Malaccensis and A. Crassna in oil and wooden medium using kNN classifier, and to measure the performance of kNN classifier on A. Malaccensis and A. Crassna on oil and wooden medium. As the result, the introduced method was able to classify both types of agarwood in both mediums with a high classification rate which is 94.5 percent accurate. Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32770/1/kNN-%20Classification%20of%20agarwood%20types%20in%20oil%20and%20wooden%20using%20E-nose.pdf pdf en http://umpir.ump.edu.my/id/eprint/32770/2/kNN%20_Classification%20of%20agarwood%20types%20in%20oil%20and%20wooden%20using%20E-nose.pdf Mujahid, Mohamad and Muhammad Sharfi, Najib and Saiful Nizam, Tajuddin and Suhaimi, Mohd Daud and Nur Farina, Hamidon Majid and Suziyanti, Zaib and Muhamad Faruqi, Zahari kNN: Classification of agarwood types in oil and wooden using E-nose. In: The 6th International Conference on Electrical, Control and Computer Engineering (InECCE2021) , 23rd August 2021 , Microsoft Teams platform. pp. 1-15.. (Unpublished) (Unpublished)
spellingShingle TP Chemical technology
TS Manufactures
Mujahid, Mohamad
Muhammad Sharfi, Najib
Saiful Nizam, Tajuddin
Suhaimi, Mohd Daud
Nur Farina, Hamidon Majid
Suziyanti, Zaib
Muhamad Faruqi, Zahari
kNN: Classification of agarwood types in oil and wooden using E-nose
title kNN: Classification of agarwood types in oil and wooden using E-nose
title_full kNN: Classification of agarwood types in oil and wooden using E-nose
title_fullStr kNN: Classification of agarwood types in oil and wooden using E-nose
title_full_unstemmed kNN: Classification of agarwood types in oil and wooden using E-nose
title_short kNN: Classification of agarwood types in oil and wooden using E-nose
title_sort knn: classification of agarwood types in oil and wooden using e-nose
topic TP Chemical technology
TS Manufactures
url http://umpir.ump.edu.my/id/eprint/32770/
http://umpir.ump.edu.my/id/eprint/32770/1/kNN-%20Classification%20of%20agarwood%20types%20in%20oil%20and%20wooden%20using%20E-nose.pdf
http://umpir.ump.edu.my/id/eprint/32770/2/kNN%20_Classification%20of%20agarwood%20types%20in%20oil%20and%20wooden%20using%20E-nose.pdf