Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.]
Emergencies occur suddenly on public transportation daily. In an emergency, however, there are no explicit means for passengers to submit a report to the LRT authorities. In addition, it is difficult for authorities to discover people in emergency situations, and it takes some time to convey informa...
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| Format: | Book Section |
| Language: | en |
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Faculty of Computer and Mathematical Sciences
2023
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| Online Access: | https://ir.uitm.edu.my/id/eprint/94367/1/94367.pdf https://ir.uitm.edu.my/id/eprint/94367/ |
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| _version_ | 1833320228515217408 |
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| author | Baddru’l-Sham, Ezrren Natasha Abdul Rahid @ Abdul Rashid, Nurul Najwa Ab Malek, Ezzad Pahruradzi, Salman Subano, Muhammad Rizzuan Ariff |
| author_facet | Baddru’l-Sham, Ezrren Natasha Abdul Rahid @ Abdul Rashid, Nurul Najwa Ab Malek, Ezzad Pahruradzi, Salman Subano, Muhammad Rizzuan Ariff |
| author_sort | Baddru’l-Sham, Ezrren Natasha |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Emergencies occur suddenly on public transportation daily. In an emergency, however, there are no explicit means for passengers to submit a report to the LRT authorities. In addition, it is difficult for authorities to discover people in emergency situations, and it takes some time to convey information regarding station and LRT emergencies. With geolocation and decision tree algorithms, this project aims to design and develop an emergency application for LRT passengers. The waterfall approach will be adopted because it is more suitable for this project and will help resolve the issue. Thus, the solution is to design an application capable of sending an immediate report to authorities so that they may simply track down passengers and swiftly notify all users of the emergency in a three station LRT such as Sentul, PWTC and Masjid Jamek. Functional testing to ensure the application work properly. |
| format | Book Section |
| id | my.uitm.ir-94367 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2023 |
| publisher | Faculty of Computer and Mathematical Sciences |
| record_format | eprints |
| spelling | my.uitm.ir-943672024-05-02T03:19:05Z https://ir.uitm.edu.my/id/eprint/94367/ Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.] Baddru’l-Sham, Ezrren Natasha Abdul Rahid @ Abdul Rashid, Nurul Najwa Ab Malek, Ezzad Pahruradzi, Salman Subano, Muhammad Rizzuan Ariff Integer programming Emergencies occur suddenly on public transportation daily. In an emergency, however, there are no explicit means for passengers to submit a report to the LRT authorities. In addition, it is difficult for authorities to discover people in emergency situations, and it takes some time to convey information regarding station and LRT emergencies. With geolocation and decision tree algorithms, this project aims to design and develop an emergency application for LRT passengers. The waterfall approach will be adopted because it is more suitable for this project and will help resolve the issue. Thus, the solution is to design an application capable of sending an immediate report to authorities so that they may simply track down passengers and swiftly notify all users of the emergency in a three station LRT such as Sentul, PWTC and Masjid Jamek. Functional testing to ensure the application work properly. Faculty of Computer and Mathematical Sciences 2023 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/94367/1/94367.pdf Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.]. (2023) In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2023). Faculty of Computer and Mathematical Sciences, Kampus Jasin, pp. 115-118. ISBN 978-967-15337-0-3 (Submitted) |
| spellingShingle | Integer programming Baddru’l-Sham, Ezrren Natasha Abdul Rahid @ Abdul Rashid, Nurul Najwa Ab Malek, Ezzad Pahruradzi, Salman Subano, Muhammad Rizzuan Ariff Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.] |
| title | Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.] |
| title_full | Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.] |
| title_fullStr | Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.] |
| title_full_unstemmed | Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.] |
| title_short | Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.] |
| title_sort | developing emergency application for lrt passengers with decision tree algorithm (railalert!) / ezrren natasha baddru’l-sham … [et al.] |
| topic | Integer programming |
| url | https://ir.uitm.edu.my/id/eprint/94367/1/94367.pdf https://ir.uitm.edu.my/id/eprint/94367/ |
| url_provider | http://ir.uitm.edu.my/ |