User-centered UiTM e-Event using predictive software development life cycle (SDLC) / Noorihan Abdul Rahman ... [et al.]

University students are having challenges in catching various events and programs which are being organized and held at their university. Currently, traditional methods of event notification, including posters and social media messages are weak in ensuring student awareness about various university’s events. Many activities are held in low attendance which leads to missing opportunities for students’ engagements and eventually the students may lose track of any events or programmes that have taken place on campus. This research aims to develop an event management system, UiTM e-Event, based on the predictive Software Development Life Cycle (SDLC). The predictive SDLC methodology was chosen for the structured approach to cater well-defined requirements. This research conducts a systematic process from planning and analysis to design, implementation, testing, and maintenance. The centralized platform known as UiTM e-Event can minimize the gap of communication, maximize the number of participants in an event and bring vibrancy to the campus life. This research also aims at addressing practical issues and able to add a value to the body of knowledge in the field of event management and information systems. UiTM e-Event integrates information pertaining to events, enhancing student involvement in such events, and improving event management at UiTM Machang. The system gives advantages such as assisting students to discover and engage with upcoming events, help to promote events organized by students or staff, facilitate the attraction of a larger audience and encourage greater participation among UiTM Machang users. This research also highlights the users’ feedback by performing UiTM e-Event usability testing and the feedback generally has resulted positive feedback from the students.

Publication Details

Journal
UiTM Institutional Repositories (Universiti Teknologi MARA)
Published
2024-09-01
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

User-centered UiTM e-Event using predictive software development life cycle (SDLC) / Noorihan Abdul Rahman ... [et al.]

UiTM Institutional Repositories (Universiti Teknologi MARA)
Genetics, Bioinformatics, and Biomedical Research
article

User-centered UiTM e-Event using predictive software development life cycle (SDLC) / Noorihan Abdul Rahman ... [et al.]

article en

Abstract

University students are having challenges in catching various events and programs which are being organized and held at their university. Currently, traditional methods of event notification, including posters and social media messages are weak in ensuring student awareness about various university’s events. Many activities are held in low attendance which leads to missing opportunities for students’ engagements and eventually the students may lose track of any events or programmes that have taken place on campus. This research aims to develop an event management system, UiTM e-Event, based on the predictive Software Development Life Cycle (SDLC). The predictive SDLC methodology was chosen for the structured approach to cater well-defined requirements. This research conducts a systematic process from planning and analysis to design, implementation, testing, and maintenance. The centralized platform known as UiTM e-Event can minimize the gap of communication, maximize the number of participants in an event and bring vibrancy to the campus life. This research also aims at addressing practical issues and able to add a value to the body of knowledge in the field of event management and information systems. UiTM e-Event integrates information pertaining to events, enhancing student involvement in such events, and improving event management at UiTM Machang. The system gives advantages such as assisting students to discover and engage with upcoming events, help to promote events organized by students or staff, facilitate the attraction of a larger audience and encourage greater participation among UiTM Machang users. This research also highlights the users’ feedback by performing UiTM e-Event usability testing and the feedback generally has resulted positive feedback from the students.

UiTM Institutional Repositories (Universiti Teknologi MARA)
Responsible consumption and production
Openalex Percentile: Top 51%
Genetics, Bioinformatics, and Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.