Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid

Fasting during the month of Ramadan is obligatory to all the Muslim. However, menstruating women are forbidden to fast during Ramadan. This reason causes the Muslim female necessary to do the fasting replacement later in the year. However, if they are not able to finish their fasting replacement wit...

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Bibliographic Details
Main Author:	Ahmad Zahid, Nurfarah Ain
Format:	Student Project
Published:	Faculty of Computer and Mathematical Sciences 2015
Subjects:	Mobile computing
Online Access:	http://ir.uitm.edu.my/id/eprint/14583/

id	uitm-14583
recordtype	eprints
spelling	uitm-145832017-06-08T00:55:27Z http://ir.uitm.edu.my/id/eprint/14583/ Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid Ahmad Zahid, Nurfarah Ain Mobile computing Fasting during the month of Ramadan is obligatory to all the Muslim. However, menstruating women are forbidden to fast during Ramadan. This reason causes the Muslim female necessary to do the fasting replacement later in the year. However, if they are not able to finish their fasting replacement within the specified timeframe, Fidyah will be charged. Based on survey upon Muslimah, it was found 84% of the Muslimah tend to delay fasting replacement and forget to replace it until the coming Ramadan. Therefore, the focus of this project is to develop a mobile application for fasting replacement recommendation. The project aim is to give suggestion day for the user to do fasting replacement. With the rapid growth of smart phone technology nowadays, it is necessary to have this kind of mobile application to remind the user about fasting replacement. The mobile application for fasting replacement recommendation may be able to help user to remember about how many days the user are not fasting during Ramadan as well as it will help user to organize the fasting replacement days. To develop this mobile application, ruled-based technique is used. The suggestion day based on the rules obtained from an expert. In this project, an adapted Mobile Application Development Lifecycle (MADLC) have been utilized. Findings for this project was getting from the survey that have been conducted to random number of menstruating women and an interview have done with an expert. From the survey, it shows that 95% of respondents agreed to have fasting replacement recommendation application. From the survey, 84 percent of respondents tend to forget about fast replacement. As a conclusion, the project’s objectives are achieved and there are some recommendations to improve the project. Faculty of Computer and Mathematical Sciences 2015 Student Project NonPeerReviewed Ahmad Zahid, Nurfarah Ain (2015) Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
topic	Mobile computing
spellingShingle	Mobile computing Ahmad Zahid, Nurfarah Ain Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid
description	Fasting during the month of Ramadan is obligatory to all the Muslim. However, menstruating women are forbidden to fast during Ramadan. This reason causes the Muslim female necessary to do the fasting replacement later in the year. However, if they are not able to finish their fasting replacement within the specified timeframe, Fidyah will be charged. Based on survey upon Muslimah, it was found 84% of the Muslimah tend to delay fasting replacement and forget to replace it until the coming Ramadan. Therefore, the focus of this project is to develop a mobile application for fasting replacement recommendation. The project aim is to give suggestion day for the user to do fasting replacement. With the rapid growth of smart phone technology nowadays, it is necessary to have this kind of mobile application to remind the user about fasting replacement. The mobile application for fasting replacement recommendation may be able to help user to remember about how many days the user are not fasting during Ramadan as well as it will help user to organize the fasting replacement days. To develop this mobile application, ruled-based technique is used. The suggestion day based on the rules obtained from an expert. In this project, an adapted Mobile Application Development Lifecycle (MADLC) have been utilized. Findings for this project was getting from the survey that have been conducted to random number of menstruating women and an interview have done with an expert. From the survey, it shows that 95% of respondents agreed to have fasting replacement recommendation application. From the survey, 84 percent of respondents tend to forget about fast replacement. As a conclusion, the project’s objectives are achieved and there are some recommendations to improve the project.
format	Student Project
author	Ahmad Zahid, Nurfarah Ain
author_facet	Ahmad Zahid, Nurfarah Ain
author_sort	Ahmad Zahid, Nurfarah Ain
title	Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid
title_short	Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid
title_full	Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid
title_fullStr	Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid
title_full_unstemmed	Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid
title_sort	fast track: fasting replacement recommender mobile application using rule-based / nurfarah ain ahmad zahid
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2015
url	http://ir.uitm.edu.my/id/eprint/14583/
first_indexed	2023-09-18T22:51:57Z
last_indexed	2023-09-18T22:51:57Z
_version_	1777417603342401536

Fast track: fasting replacement recommender mobile application using rule-based / Nurfarah Ain Ahmad Zahid

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