Designing Fish Optic Mobile Application for Fish Disease Identification
The signs and symptoms of fish disease can be traced by checking on the eye surface which is the cornea of fisheye. The Fish Optic mobile application aims to help students study the fisheye anatomy and to trace the symptoms of diseases on fish. The Fish Optic user mobile application uses Human-Cent...
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| Format: | Article |
| Language: | English |
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Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2022-03-01
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| Series: | Journal of Computing Research and Innovation |
| Subjects: | |
| Online Access: | https://crinn.conferencehunter.com/index.php/jcrinn/article/view/278 |
| _version_ | 1797834455467950080 |
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| author | Romiza Md Nor Muhammad Amin Abdullah Nurul Syafiqah Aminuddin Nur Shahidatul Shaurah Sharifunizam Aliaa Zafirah Zainal Huzaifah A Hamid |
| author_facet | Romiza Md Nor Muhammad Amin Abdullah Nurul Syafiqah Aminuddin Nur Shahidatul Shaurah Sharifunizam Aliaa Zafirah Zainal Huzaifah A Hamid |
| author_sort | Romiza Md Nor |
| collection | DOAJ |
| description |
The signs and symptoms of fish disease can be traced by checking on the eye surface which is the cornea of fisheye. The Fish Optic mobile application aims to help students study the fisheye anatomy and to trace the symptoms of diseases on fish. The Fish Optic user mobile application uses Human-Centered System Development Life Cycle (HCSDLC) which consists of four phases which are project selection and planning, analysis, design and implementation. As HCSDLC emphasizes on user involvement throughout all phases, an interview was conducted, and a post task walkthrough was performed. User Acceptance Test formative evaluation was then conducted by distributing questionnaire. Some recommendations are also discussed for future works to improve and refine the design of the Fish Optic mobile application to enhance user experience. It can be concluded that using HCSDLC method throughout the design of Fish Optic mobile application contributes to a well-defined systems requirement to support user needs and to accommodate the lack of human understanding that frustrates users in their daily routines.
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| first_indexed | 2024-04-09T14:38:14Z |
| format | Article |
| id | doaj.art-ab4f2e25831c4898b0cce940afcf5dca |
| institution | Directory Open Access Journal |
| issn | 2600-8793 |
| language | English |
| last_indexed | 2024-04-09T14:38:14Z |
| publishDate | 2022-03-01 |
| publisher | Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis |
| record_format | Article |
| series | Journal of Computing Research and Innovation |
| spelling | doaj.art-ab4f2e25831c4898b0cce940afcf5dca2023-05-03T10:36:43ZengFaculty of Computer and Mathematical Sciences, Universiti Teknologi MARA PerlisJournal of Computing Research and Innovation2600-87932022-03-017110.24191/jcrinn.v7i1.278278Designing Fish Optic Mobile Application for Fish Disease IdentificationRomiza Md Nor0Muhammad Amin Abdullah1Nurul Syafiqah Aminuddin2Nur Shahidatul Shaurah Sharifunizam3Aliaa Zafirah Zainal4Huzaifah A Hamid5Universiti Teknologi MARA, Perlis Branch, Arau CampusUniversiti Teknologi MARA, Perlis Branch, Arau CampusUniversiti Teknologi MARA, Perlis Branch, Arau CampusUniversiti Teknologi MARA, Perlis Branch, Arau CampusUniversiti Teknologi MARA, Perlis Branch, Arau CampusUniversiti Teknologi MARA, Perlis Branch, Arau Campus The signs and symptoms of fish disease can be traced by checking on the eye surface which is the cornea of fisheye. The Fish Optic mobile application aims to help students study the fisheye anatomy and to trace the symptoms of diseases on fish. The Fish Optic user mobile application uses Human-Centered System Development Life Cycle (HCSDLC) which consists of four phases which are project selection and planning, analysis, design and implementation. As HCSDLC emphasizes on user involvement throughout all phases, an interview was conducted, and a post task walkthrough was performed. User Acceptance Test formative evaluation was then conducted by distributing questionnaire. Some recommendations are also discussed for future works to improve and refine the design of the Fish Optic mobile application to enhance user experience. It can be concluded that using HCSDLC method throughout the design of Fish Optic mobile application contributes to a well-defined systems requirement to support user needs and to accommodate the lack of human understanding that frustrates users in their daily routines. https://crinn.conferencehunter.com/index.php/jcrinn/article/view/278fish opticSDLCHCImobile application |
| spellingShingle | Romiza Md Nor Muhammad Amin Abdullah Nurul Syafiqah Aminuddin Nur Shahidatul Shaurah Sharifunizam Aliaa Zafirah Zainal Huzaifah A Hamid Designing Fish Optic Mobile Application for Fish Disease Identification Journal of Computing Research and Innovation fish optic SDLC HCI mobile application |
| title | Designing Fish Optic Mobile Application for Fish Disease Identification |
| title_full | Designing Fish Optic Mobile Application for Fish Disease Identification |
| title_fullStr | Designing Fish Optic Mobile Application for Fish Disease Identification |
| title_full_unstemmed | Designing Fish Optic Mobile Application for Fish Disease Identification |
| title_short | Designing Fish Optic Mobile Application for Fish Disease Identification |
| title_sort | designing fish optic mobile application for fish disease identification |
| topic | fish optic SDLC HCI mobile application |
| url | https://crinn.conferencehunter.com/index.php/jcrinn/article/view/278 |
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