The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari
Social Networking Sites (SNS) are a platform all generation groups use to obtain information and make connections with others. In addition, SNS is also used by students to obtain information provided by the university. However, there is a lack of SNS that students cannot use to get important informa...
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College of Computing, Informatics and Media, UiTM Perlis
2023
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my.uitm.ir.1003412024-09-26T08:03:37Z https://ir.uitm.edu.my/id/eprint/100341/ The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari Abdullah, Siti Nuraisyah Syafiqah Shari, Noorzila Fuzzy decision making Social Networking Sites (SNS) are a platform all generation groups use to obtain information and make connections with others. In addition, SNS is also used by students to obtain information provided by the university. However, there is a lack of SNS that students cannot use to get important information; hence the individual who is responsible for distributing the information needs to take the initiative to make students easy to get the information. This study aims to determine the preferred SNS among UiTM students to obtain information, rank the criteria of SNS for disseminating information to students, and rank the chosen SNS based on the criteria. Furthermore, the method of the Fuzzy Analytic Hierarchy Process has been used to achieve the objective of this study. The criteria that need to rank are functionality, content, usability, and privacy. Data used in the study is primary data that was collected through interview sessions and distributing questionnaires to three experts which is Majlis Perwakilan Pelajar, Jawatankuasa Perwakilan Kolej, and Ahlijawatankuasa Manatics, involved in distributing the information to students. The findings show that the most important criterion to disseminate the information with the highest is functionality of SNS with a normalized weight of 0.3090. Moreover, based on the final ranking of preferred SNS, Telegram is the highest normalized weight value of 0.3120. Based on the results, it can be concluded that Fuzzy AHP is a method that can assist experts in making decisions in difficult conditions and precisely rank all the criteria. College of Computing, Informatics and Media, UiTM Perlis 2023 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/100341/1/100341.pdf The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari. (2023) In: Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0). College of Computing, Informatics and Media, UiTM Perlis, pp. 175-176. ISBN 978-629-97934-0-3 |
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Fuzzy decision making Abdullah, Siti Nuraisyah Syafiqah Shari, Noorzila The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari |
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Social Networking Sites (SNS) are a platform all generation groups use to obtain information and make connections with others. In addition, SNS is also used by students to obtain information provided by the university. However, there is a lack of SNS that students cannot use to get important information; hence the individual who is responsible for distributing the information needs to take the initiative to make students easy to get the information. This study aims to determine the preferred SNS among UiTM students to obtain information, rank the criteria of SNS for disseminating information to students, and rank the chosen SNS based on the criteria. Furthermore, the method of the Fuzzy Analytic Hierarchy Process has been used to achieve the objective of this study. The criteria that need to rank are functionality, content, usability, and privacy. Data used in the study is primary data that was collected through interview sessions and distributing questionnaires to three experts which is Majlis Perwakilan Pelajar, Jawatankuasa Perwakilan Kolej, and Ahlijawatankuasa Manatics, involved in distributing the information to students. The findings show that the most important criterion to disseminate the information with the highest is functionality of SNS with a normalized weight of 0.3090. Moreover, based on the final ranking of preferred SNS, Telegram is the highest normalized weight value of 0.3120. Based on the results, it can be concluded that Fuzzy AHP is a method that can assist experts in making decisions in difficult conditions and precisely rank all the criteria. |
format |
Book Section |
author |
Abdullah, Siti Nuraisyah Syafiqah Shari, Noorzila |
author_facet |
Abdullah, Siti Nuraisyah Syafiqah Shari, Noorzila |
author_sort |
Abdullah, Siti Nuraisyah Syafiqah |
title |
The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari |
title_short |
The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari |
title_full |
The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari |
title_fullStr |
The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari |
title_full_unstemmed |
The preferred Social Networking Site (SNS) for information dissemination among UiTM students using fuzzy AHP method / Siti Nuraisyah Syafiqah Abdullah and Noorzila Shari |
title_sort |
preferred social networking site (sns) for information dissemination among uitm students using fuzzy ahp method / siti nuraisyah syafiqah abdullah and noorzila shari |
publisher |
College of Computing, Informatics and Media, UiTM Perlis |
publishDate |
2023 |
url |
https://ir.uitm.edu.my/id/eprint/100341/1/100341.pdf https://ir.uitm.edu.my/id/eprint/100341/ |
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1811598151320076288 |
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