Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor

Students from Faculty Sport Science and Recreation having difficulty to finish their assessment due to Covid-19. All classes are conduct online. Hence, they cannot diagnose injured athletes or person face-to-face. This project aims to develop Self-Report Sports Injury Mobile Application with Chatbot...

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Bibliographic Details
Main Author:	Mohamad Noor, Mohamad Hakimi
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Instruments and machines Programming languages (Electronic computers)
Online Access:	https://ir.uitm.edu.my/id/eprint/55864/1/55864.pdf
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id	my-uitm-ir.55864
record_format	uketd_dc
spelling	my-uitm-ir.558642022-03-22T09:16:24Z Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor 2021 Mohamad Noor, Mohamad Hakimi Instruments and machines Electronic Computers. Computer Science Programming languages (Electronic computers) Students from Faculty Sport Science and Recreation having difficulty to finish their assessment due to Covid-19. All classes are conduct online. Hence, they cannot diagnose injured athletes or person face-to-face. This project aims to develop Self-Report Sports Injury Mobile Application with Chatbot (SRSIMAC) for Faculty Sport Science and Recreation students as part of their learning and training using the SOAP notes method. Musculoskeletal Disorder (MSD) is degenerative diseases and inflammatory conditions that cause pain and impair normal activities. It affects many different parts of the body include Upper Limb Disorders (ULD), Lower Limb Disorders (LLD), and also back (upper and lower). MSD involves soft tissue. Sometimes, there are no visible signs of injury. These assessments are about self-reported or evaluation process. The developer implements a modified waterfall and uses four phases out of seven during develops the project. It includes requirement gathering and analysis, design, implementation, and testing. The developer uses an online questionnaire and interview method to collect information. Then, rule the question for the third party chatbot using kommunicate_flutter packages in the mobile application. After finish developing the project, stakeholder will test the mobile apps based on the test cases. Once the test pass, SRSIMAC is ready to use by Faculty Sport Science and Recreation students and lecturers to diagnose and plan rehabilitation treatment for injured athletes or persons. 2021 Thesis https://ir.uitm.edu.my/id/eprint/55864/ https://ir.uitm.edu.my/id/eprint/55864/1/55864.pdf text en public degree Universiti Teknologi MARA Cawangan Melaka Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Instruments and machines Instruments and machines Programming languages (Electronic computers)
spellingShingle	Instruments and machines Instruments and machines Programming languages (Electronic computers) Mohamad Noor, Mohamad Hakimi Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor
description	Students from Faculty Sport Science and Recreation having difficulty to finish their assessment due to Covid-19. All classes are conduct online. Hence, they cannot diagnose injured athletes or person face-to-face. This project aims to develop Self-Report Sports Injury Mobile Application with Chatbot (SRSIMAC) for Faculty Sport Science and Recreation students as part of their learning and training using the SOAP notes method. Musculoskeletal Disorder (MSD) is degenerative diseases and inflammatory conditions that cause pain and impair normal activities. It affects many different parts of the body include Upper Limb Disorders (ULD), Lower Limb Disorders (LLD), and also back (upper and lower). MSD involves soft tissue. Sometimes, there are no visible signs of injury. These assessments are about self-reported or evaluation process. The developer implements a modified waterfall and uses four phases out of seven during develops the project. It includes requirement gathering and analysis, design, implementation, and testing. The developer uses an online questionnaire and interview method to collect information. Then, rule the question for the third party chatbot using kommunicate_flutter packages in the mobile application. After finish developing the project, stakeholder will test the mobile apps based on the test cases. Once the test pass, SRSIMAC is ready to use by Faculty Sport Science and Recreation students and lecturers to diagnose and plan rehabilitation treatment for injured athletes or persons.
format	Thesis
qualification_level	Bachelor degree
author	Mohamad Noor, Mohamad Hakimi
author_facet	Mohamad Noor, Mohamad Hakimi
author_sort	Mohamad Noor, Mohamad Hakimi
title	Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor
title_short	Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor
title_full	Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor
title_fullStr	Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor
title_full_unstemmed	Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor
title_sort	self-report sports injury mobile application with chatbot / mohamad hakimi mohamad noor
granting_institution	Universiti Teknologi MARA Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/55864/1/55864.pdf
_version_	1783734929537892352

Self-report sports injury mobile application with Chatbot / Mohamad Hakimi Mohamad Noor

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