Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi

Decision-making is the normal part in our life and it can be made based on the experiences and knowledge. For the first time car buyer, making a decision on which car that need to be bought is not an easy task. Several car criteria need to be taken into consideration such as financial, performance,...

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Main Author:	Mohd Noorhanafi, Noorsyariena Izana
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Multivariate analysis Cluster analysis Longitudinal method Analytic mechanics
Online Access:	https://ir.uitm.edu.my/id/eprint/35382/1/35382.pdf
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id	my-uitm-ir.35382
record_format	uketd_dc
spelling	my-uitm-ir.353822020-10-19T09:36:22Z Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi 2014-01 Mohd Noorhanafi, Noorsyariena Izana Multivariate analysis. Cluster analysis. Longitudinal method Electronic Computers. Computer Science Analytic mechanics Decision-making is the normal part in our life and it can be made based on the experiences and knowledge. For the first time car buyer, making a decision on which car that need to be bought is not an easy task. Several car criteria need to be taken into consideration such as financial, performance, appearance, convenience and safety. Currently, there are no specific systems for the car buyers that able to assist them in making a wise decision in order to buy a new car. To overcome this problem an Affordable Car Selection System using Analytic Network Process (ACaSe) is developed to assist the user on selecting car criteria based on Analytic Network Process (ANP) technique. This system provides five types of car such as Perodua Myvi, Proton Suprima S, Honda City, Toyota Vios and Suzuki Swift which are suitable for the first time buyers’ selection (taking into consideration their income as new graduates). Users are able to select prioritization of their own car criteria based on the criteria provided by the system. The process in decision making is integrated with ANP technique. The evaluation part has been done with 40 respondents. There are five constructs has been evaluation; interface and design, navigation, functionality, content and booking process. Construct with the highest result is regarding the content with 60% respondents are strongly agree with it and mode for this construct is 5. The highest mean based on user feedback for this construct is item C02 (Mean = 4.6, SD = 0.516). This indicates that, the respondents are agreeing with the content in this system because the information provided in this system is helpful for them and user knows where to find the information needed. 2014-01 Thesis https://ir.uitm.edu.my/id/eprint/35382/ https://ir.uitm.edu.my/id/eprint/35382/1/35382.pdf text en public degree Universiti Teknologi MARA Faculty of Computer & Mathematical Sciences Mohamed@Omar, Hasiah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamed@Omar, Hasiah
topic	Multivariate analysis Cluster analysis Longitudinal method Multivariate analysis Cluster analysis Longitudinal method Analytic mechanics
spellingShingle	Multivariate analysis Cluster analysis Longitudinal method Multivariate analysis Cluster analysis Longitudinal method Analytic mechanics Mohd Noorhanafi, Noorsyariena Izana Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi
description	Decision-making is the normal part in our life and it can be made based on the experiences and knowledge. For the first time car buyer, making a decision on which car that need to be bought is not an easy task. Several car criteria need to be taken into consideration such as financial, performance, appearance, convenience and safety. Currently, there are no specific systems for the car buyers that able to assist them in making a wise decision in order to buy a new car. To overcome this problem an Affordable Car Selection System using Analytic Network Process (ACaSe) is developed to assist the user on selecting car criteria based on Analytic Network Process (ANP) technique. This system provides five types of car such as Perodua Myvi, Proton Suprima S, Honda City, Toyota Vios and Suzuki Swift which are suitable for the first time buyers’ selection (taking into consideration their income as new graduates). Users are able to select prioritization of their own car criteria based on the criteria provided by the system. The process in decision making is integrated with ANP technique. The evaluation part has been done with 40 respondents. There are five constructs has been evaluation; interface and design, navigation, functionality, content and booking process. Construct with the highest result is regarding the content with 60% respondents are strongly agree with it and mode for this construct is 5. The highest mean based on user feedback for this construct is item C02 (Mean = 4.6, SD = 0.516). This indicates that, the respondents are agreeing with the content in this system because the information provided in this system is helpful for them and user knows where to find the information needed.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Noorhanafi, Noorsyariena Izana
author_facet	Mohd Noorhanafi, Noorsyariena Izana
author_sort	Mohd Noorhanafi, Noorsyariena Izana
title	Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi
title_short	Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi
title_full	Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi
title_fullStr	Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi
title_full_unstemmed	Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi
title_sort	affordable car selection system using analytic network process (acase) / noorsyariena izana mohd noorhanafi
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/35382/1/35382.pdf
_version_	1783734302919360512

Affordable car selection system using analytic network process (ACaSe) / Noorsyariena Izana Mohd Noorhanafi

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