Genetic algorithm for event scheduling system
UTeM’s Event Alert System (UTeM-EAS) is an improved version of previous Event Alert System in Universiti Teknikal Malaysia Melaka (UTeM) official site that aims to apply Artificial Intelligence (AI) in order to provide its users with events priority. This newer system intend be more user friendly by...
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| Format: | Article |
| Language: | English |
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Penerbit Universiti, UTeM
2010
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| Online Access: | http://eprints.utem.edu.my/id/eprint/238/ http://eprints.utem.edu.my/id/eprint/238/1/JTEC_PaperFinalv2.pdf |
| _version_ | 1848886911151636480 |
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| author | Hasan Basari, Abd Samad Hussin, Burairah Jalal, Siti Musliza Mohd Isa, Nabihah |
| author_facet | Hasan Basari, Abd Samad Hussin, Burairah Jalal, Siti Musliza Mohd Isa, Nabihah |
| author_sort | Hasan Basari, Abd Samad |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | UTeM’s Event Alert System (UTeM-EAS) is an improved version of previous Event Alert System in Universiti Teknikal Malaysia Melaka (UTeM) official site that aims to apply Artificial Intelligence (AI) in order to provide its users with events priority. This newer system intend be more user friendly by providing organized management. The improved version is also designed to have the capability of sending Short Message Service (SMS) among UTeM’s staff to notify them of future events. Some researches about another existing Event Alert Sytem are carried to provide more understanding to the system to be developed. UTeM-EAS then is created by exploiting one of AI approach namely Genetic Algorithm (GA) with Crossover Technique. There are four main interfaces that ask for login information, add, edit and view events details. As for the development environment, UTeM-EAS is developed and to run in windows XP with support of Adobe Dreamweaver and MS SQL Server. Ozeki Messager 6 are installed and configured for this system to operate with its SMS function. The functionality, usability and security testing are conducted between UTeM’s staffs and administrators itself to measure the performance and user acceptance of the proposed system. Aside from achieving its development objectives, UTeM-EAS also gain great satisfactions from most of its tested users. The system could be more efficient if password encryption is applied and the system is able to reply the message sent by UTeM’s staff asking for further events details. |
| first_indexed | 2025-11-15T19:46:01Z |
| format | Article |
| id | utem-238 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:46:01Z |
| publishDate | 2010 |
| publisher | Penerbit Universiti, UTeM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-2382023-06-01T11:43:31Z http://eprints.utem.edu.my/id/eprint/238/ Genetic algorithm for event scheduling system Hasan Basari, Abd Samad Hussin, Burairah Jalal, Siti Musliza Mohd Isa, Nabihah UTeM’s Event Alert System (UTeM-EAS) is an improved version of previous Event Alert System in Universiti Teknikal Malaysia Melaka (UTeM) official site that aims to apply Artificial Intelligence (AI) in order to provide its users with events priority. This newer system intend be more user friendly by providing organized management. The improved version is also designed to have the capability of sending Short Message Service (SMS) among UTeM’s staff to notify them of future events. Some researches about another existing Event Alert Sytem are carried to provide more understanding to the system to be developed. UTeM-EAS then is created by exploiting one of AI approach namely Genetic Algorithm (GA) with Crossover Technique. There are four main interfaces that ask for login information, add, edit and view events details. As for the development environment, UTeM-EAS is developed and to run in windows XP with support of Adobe Dreamweaver and MS SQL Server. Ozeki Messager 6 are installed and configured for this system to operate with its SMS function. The functionality, usability and security testing are conducted between UTeM’s staffs and administrators itself to measure the performance and user acceptance of the proposed system. Aside from achieving its development objectives, UTeM-EAS also gain great satisfactions from most of its tested users. The system could be more efficient if password encryption is applied and the system is able to reply the message sent by UTeM’s staff asking for further events details. Penerbit Universiti, UTeM 2010-12 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/238/1/JTEC_PaperFinalv2.pdf Hasan Basari, Abd Samad and Hussin, Burairah and Jalal, Siti Musliza and Mohd Isa, Nabihah (2010) Genetic algorithm for event scheduling system. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC), 2 (2). pp. 81-85. ISSN 2180-1843 https://jtec.utem.edu.my/jtec/article/view/631/467 |
| spellingShingle | Hasan Basari, Abd Samad Hussin, Burairah Jalal, Siti Musliza Mohd Isa, Nabihah Genetic algorithm for event scheduling system |
| title | Genetic algorithm for event scheduling system |
| title_full | Genetic algorithm for event scheduling system |
| title_fullStr | Genetic algorithm for event scheduling system |
| title_full_unstemmed | Genetic algorithm for event scheduling system |
| title_short | Genetic algorithm for event scheduling system |
| title_sort | genetic algorithm for event scheduling system |
| url | http://eprints.utem.edu.my/id/eprint/238/ http://eprints.utem.edu.my/id/eprint/238/ http://eprints.utem.edu.my/id/eprint/238/1/JTEC_PaperFinalv2.pdf |