Augmented reality application to improve remedial student’s learning performance

A high concentration of uric acid in human blood will form a crystal that accumulates in the joints and causes inflammation and severe pain to the patient. In literature, the direct detection spectroscopy technique has been employed in uric acid detection due to its eco-friendly and rapid respons...

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Main Author: Ayub, Afiq Azim
Format: Thesis
Language:English
English
English
Published: 2022
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Online Access:http://eprints.uthm.edu.my/8249/1/24p%20AFIQ%20AZIM%20AYUB.pdf
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spelling my.uthm.eprints.82492023-02-07T03:36:36Z http://eprints.uthm.edu.my/8249/ Augmented reality application to improve remedial student’s learning performance Ayub, Afiq Azim T Technology (General) A high concentration of uric acid in human blood will form a crystal that accumulates in the joints and causes inflammation and severe pain to the patient. In literature, the direct detection spectroscopy technique has been employed in uric acid detection due to its eco-friendly and rapid response features. Despite these advantages, the linearity range obtained is very limited. Therefore, to enhance the linearity range, a direct detection-based spectroscopy method in the visible light spectrum is proposed in this work. The enhancement is attributed to the relatively low molar attenuation coefficient in the visible light spectrum. This work analyzed the detection of uric acid in the visible spectrum utilizing a halogen lamp as a light source. The uric acid stock solution in this project was prepared by diluting the uric acid powder in deionized (DI) water. Then, 2, 4, 6, 8, and 10 mg/dL sample solutions were produced by diluting the stock solution based on molarity formulation. These samples were then transferred into a sample compartment for the measuring process. In measuring the samples, the output intensity spectrum was monitored as the concentration varies from 2 to 10 mg/dL. The linearity range, linearity, sensitivity, limit of detection (LoD), stability precision, and relative standard deviation (RSD) of the developed spectrophotometer were studied. The sensor performance at sample wavelengths of 600nm, 650nm, 700nm, 750nm, 800nm, 850nm, and 900nm was analyzed. The highest spectrophotometer sensitivity of 0.0515 (mg/dL)-1 was achieved at 700nm wavelength. However, this sample wavelength has a low linearity value, which is about 91%. As for the linearity performance, the best linearity was achieved at 850nm wavelength with 98% linearity value. All the sample wavelengths exhibited more than 99% precision with less than 1% RSD for 300 seconds measurement duration, which indicates a highly stable detection and good reproducibility. The selectivity of the optimal operating wavelength offers comparable linearity and sensitivity performances of the developed spectrophotometer with rapid detection and high stability performances. 2022-08 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/8249/1/24p%20AFIQ%20AZIM%20AYUB.pdf text en http://eprints.uthm.edu.my/8249/2/AFIQ%20AZIM%20AYUB%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/8249/3/AFIQ%20AZIM%20AYUB%20WATERMARK.pdf Ayub, Afiq Azim (2022) Augmented reality application to improve remedial student’s learning performance. Masters thesis, Universiti Tun Hussein Onn Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
English
topic T Technology (General)
spellingShingle T Technology (General)
Ayub, Afiq Azim
Augmented reality application to improve remedial student’s learning performance
description A high concentration of uric acid in human blood will form a crystal that accumulates in the joints and causes inflammation and severe pain to the patient. In literature, the direct detection spectroscopy technique has been employed in uric acid detection due to its eco-friendly and rapid response features. Despite these advantages, the linearity range obtained is very limited. Therefore, to enhance the linearity range, a direct detection-based spectroscopy method in the visible light spectrum is proposed in this work. The enhancement is attributed to the relatively low molar attenuation coefficient in the visible light spectrum. This work analyzed the detection of uric acid in the visible spectrum utilizing a halogen lamp as a light source. The uric acid stock solution in this project was prepared by diluting the uric acid powder in deionized (DI) water. Then, 2, 4, 6, 8, and 10 mg/dL sample solutions were produced by diluting the stock solution based on molarity formulation. These samples were then transferred into a sample compartment for the measuring process. In measuring the samples, the output intensity spectrum was monitored as the concentration varies from 2 to 10 mg/dL. The linearity range, linearity, sensitivity, limit of detection (LoD), stability precision, and relative standard deviation (RSD) of the developed spectrophotometer were studied. The sensor performance at sample wavelengths of 600nm, 650nm, 700nm, 750nm, 800nm, 850nm, and 900nm was analyzed. The highest spectrophotometer sensitivity of 0.0515 (mg/dL)-1 was achieved at 700nm wavelength. However, this sample wavelength has a low linearity value, which is about 91%. As for the linearity performance, the best linearity was achieved at 850nm wavelength with 98% linearity value. All the sample wavelengths exhibited more than 99% precision with less than 1% RSD for 300 seconds measurement duration, which indicates a highly stable detection and good reproducibility. The selectivity of the optimal operating wavelength offers comparable linearity and sensitivity performances of the developed spectrophotometer with rapid detection and high stability performances.
format Thesis
author Ayub, Afiq Azim
author_facet Ayub, Afiq Azim
author_sort Ayub, Afiq Azim
title Augmented reality application to improve remedial student’s learning performance
title_short Augmented reality application to improve remedial student’s learning performance
title_full Augmented reality application to improve remedial student’s learning performance
title_fullStr Augmented reality application to improve remedial student’s learning performance
title_full_unstemmed Augmented reality application to improve remedial student’s learning performance
title_sort augmented reality application to improve remedial student’s learning performance
publishDate 2022
url http://eprints.uthm.edu.my/8249/1/24p%20AFIQ%20AZIM%20AYUB.pdf
http://eprints.uthm.edu.my/8249/2/AFIQ%20AZIM%20AYUB%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/8249/3/AFIQ%20AZIM%20AYUB%20WATERMARK.pdf
http://eprints.uthm.edu.my/8249/
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