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House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan

Shelter is the one of the basic necessity to every people besides of cloth and food to live. A comfortable place is the most important thing for student to have a good environment to study. The problem is student difficult to find the right house such as the nearest distance with UiTM, lower rental...

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Main Author: Md Azlan, Siti Naemah
Format: Thesis
Language:English
Published: 2014
Subjects:
Analytic mechanics
Integer programming
Information technology. Information systems
Online Access:http://ir.uitm.edu.my/id/eprint/35177/1/35177.pdf
http://ir.uitm.edu.my/id/eprint/35177/
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spelling my.uitm.ir.351772020-10-13T07:46:34Z http://ir.uitm.edu.my/id/eprint/35177/ House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan Md Azlan, Siti Naemah Analytic mechanics Integer programming Information technology. Information systems Shelter is the one of the basic necessity to every people besides of cloth and food to live. A comfortable place is the most important thing for student to have a good environment to study. The problem is student difficult to find the right house such as the nearest distance with UiTM, lower rental fees and other criteria. In order to solve the problem, House Rental Selection System using Analytic Hierarchy Process (HRSS) is developing to ease the students to find house for renting that meet the best selection of house. The objective to developing the system is to identify the suitable criteria in selecting rental house among students. The other objective is to develop the system to ease the student to find the rent house and lastly to evaluate the usefulness of the system by the user. Selection of the house is made based on the criteria by implementing the AHP technique. AHP is a decision making model that aids decision making in our complex world. The criteria are identified from the Literature Review, interview and questionnaire which are rental fees, facility and house type. While the sub criteria for facility are furnish, convenience and the distance. The HRSS is developing based on Waterfall Model which comprises of Planning, Analysis, Design, Implementation and Documentation. To accomplish the study, questionnaire has been distribute among 30 students to get the feedback on the developed system. Based on the feedback from the respondents, the highest mean for construct usability is 4.5667, ease of use is 4.3667, content is 4.5, user interface is 4.333 and selection using AHP is 4.4667. Most of the students responded that the system was ease to use and would enable them to make a booking more efficient. 2014 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/35177/1/35177.pdf Md Azlan, Siti Naemah (2014) House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan. Degree thesis, Universiti Teknologi MARA, Terengganu.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Analytic mechanics
Integer programming
Information technology. Information systems
spellingShingle Analytic mechanics
Integer programming
Information technology. Information systems
Md Azlan, Siti Naemah
House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan
description Shelter is the one of the basic necessity to every people besides of cloth and food to live. A comfortable place is the most important thing for student to have a good environment to study. The problem is student difficult to find the right house such as the nearest distance with UiTM, lower rental fees and other criteria. In order to solve the problem, House Rental Selection System using Analytic Hierarchy Process (HRSS) is developing to ease the students to find house for renting that meet the best selection of house. The objective to developing the system is to identify the suitable criteria in selecting rental house among students. The other objective is to develop the system to ease the student to find the rent house and lastly to evaluate the usefulness of the system by the user. Selection of the house is made based on the criteria by implementing the AHP technique. AHP is a decision making model that aids decision making in our complex world. The criteria are identified from the Literature Review, interview and questionnaire which are rental fees, facility and house type. While the sub criteria for facility are furnish, convenience and the distance. The HRSS is developing based on Waterfall Model which comprises of Planning, Analysis, Design, Implementation and Documentation. To accomplish the study, questionnaire has been distribute among 30 students to get the feedback on the developed system. Based on the feedback from the respondents, the highest mean for construct usability is 4.5667, ease of use is 4.3667, content is 4.5, user interface is 4.333 and selection using AHP is 4.4667. Most of the students responded that the system was ease to use and would enable them to make a booking more efficient.
format Thesis
author Md Azlan, Siti Naemah
author_facet Md Azlan, Siti Naemah
author_sort Md Azlan, Siti Naemah
title House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan
title_short House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan
title_full House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan
title_fullStr House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan
title_full_unstemmed House rental selection system using analytic hierarchy process (HRSS) / Siti Naemah Md Azlan
title_sort house rental selection system using analytic hierarchy process (hrss) / siti naemah md azlan
publishDate 2014
url http://ir.uitm.edu.my/id/eprint/35177/1/35177.pdf
http://ir.uitm.edu.my/id/eprint/35177/
_version_ 1685651272267464704
score 13.211869

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