Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang

Surveys are a reliable method to gather numerous data quickly and effectively but the manual evaluation of data collected from surveys take a long time and a lot of effort. Processing huge amounts of data is tiring and huge amounts of raw data acquired from surveys are hard to interpret. The prototy...

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Main Author: Bujang, Mohammad Fadhlan Nuaim
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/18929/
http://ir.uitm.edu.my/id/eprint/18929/1/TD_MOHAMMAD%20FADHLAN%20NUAIM%20BUJANG%20M%20CS%2017_5.pdf
id uitm-18929
recordtype eprints
spelling uitm-189292018-02-05T04:00:23Z http://ir.uitm.edu.my/id/eprint/18929/ Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang Bujang, Mohammad Fadhlan Nuaim Database management Surveys are a reliable method to gather numerous data quickly and effectively but the manual evaluation of data collected from surveys take a long time and a lot of effort. Processing huge amounts of data is tiring and huge amounts of raw data acquired from surveys are hard to interpret. The prototype developed in this project aims to overcome the problems stated by automating the survey evaluation process thus reducing time and effort wasted and visualizes the data to facilitate the interpretation of huge data at first glance. The Likert scale was chosen as the data collection method as it is deemed convenient and reliable in gathering quantitative data, the Diversity Map was chosen as the visualization method due to the fact that it is efficient in displaying quantitative data and is very effective in showing diversity in data thus aiding first glance interpretation. The framework used for development is the agile method due to its versatility, it consists of four phases which are requirement analysis, design, development and testing. The prototype consists of two modules which are the researcher and respondent module. The researcher module requires registration before becoming available for use and has the functionality to login, create surveys and view the visualized survey results while the respondent module answers the survey given by the researchers. Testing was conducted on the prototype both in functionality and in its ability to handle actual data. The functionality testing shows that the prototype meets the expected outcomes and the actual data testing also gives positive results and proves that the Diversity Map visualization can aid in first glance interpretation of big data. This shows that the prototype can be used by researchers to reduce the troubles of manual questionnaire surveys and improves the interpretation of data by using data visualization. 2017 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18929/1/TD_MOHAMMAD%20FADHLAN%20NUAIM%20BUJANG%20M%20CS%2017_5.pdf Bujang, Mohammad Fadhlan Nuaim (2017) Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang. Degree thesis, Universiti Teknologi MARA , Melaka.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Database management
spellingShingle Database management
Bujang, Mohammad Fadhlan Nuaim
Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang
description Surveys are a reliable method to gather numerous data quickly and effectively but the manual evaluation of data collected from surveys take a long time and a lot of effort. Processing huge amounts of data is tiring and huge amounts of raw data acquired from surveys are hard to interpret. The prototype developed in this project aims to overcome the problems stated by automating the survey evaluation process thus reducing time and effort wasted and visualizes the data to facilitate the interpretation of huge data at first glance. The Likert scale was chosen as the data collection method as it is deemed convenient and reliable in gathering quantitative data, the Diversity Map was chosen as the visualization method due to the fact that it is efficient in displaying quantitative data and is very effective in showing diversity in data thus aiding first glance interpretation. The framework used for development is the agile method due to its versatility, it consists of four phases which are requirement analysis, design, development and testing. The prototype consists of two modules which are the researcher and respondent module. The researcher module requires registration before becoming available for use and has the functionality to login, create surveys and view the visualized survey results while the respondent module answers the survey given by the researchers. Testing was conducted on the prototype both in functionality and in its ability to handle actual data. The functionality testing shows that the prototype meets the expected outcomes and the actual data testing also gives positive results and proves that the Diversity Map visualization can aid in first glance interpretation of big data. This shows that the prototype can be used by researchers to reduce the troubles of manual questionnaire surveys and improves the interpretation of data by using data visualization.
format Thesis
author Bujang, Mohammad Fadhlan Nuaim
author_facet Bujang, Mohammad Fadhlan Nuaim
author_sort Bujang, Mohammad Fadhlan Nuaim
title Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang
title_short Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang
title_full Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang
title_fullStr Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang
title_full_unstemmed Survey management system using data visualization method / Mohammad Fadhlan Nuaim Bujang
title_sort survey management system using data visualization method / mohammad fadhlan nuaim bujang
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/18929/
http://ir.uitm.edu.my/id/eprint/18929/1/TD_MOHAMMAD%20FADHLAN%20NUAIM%20BUJANG%20M%20CS%2017_5.pdf
first_indexed 2023-09-18T23:01:30Z
last_indexed 2023-09-18T23:01:30Z
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