SeTigo is a mobile application designed for Universiti Teknologi MARA (UiTM) Seremban students. It provides a centralised platform for campus announcements, events, and student-driven entrepreneurial activities. The project addresses the absence of a unified communication channel and the lack of visibility for student sellers. Thus, it enhances convenience, safety, and decision-making on campus. The project has a user-centric interface with integrated features such as real-time news feeds, a student marketplace, secure payment systems, and intelligent search capabilities. Advanced technologies, including Artificial Intelligence (AI), Big Data Analytics, and Sentiment Analysis, are embedded to personalize user experiences, automate notifications, and deliver data-driven insights to student entrepreneurs. The system is built on cloud computing, which means users can access it easily from anywhere, while data is stored and managed securely in the cloud. SeTigo can significantly enhance student engagement, support smallscale entrepreneurship, and improve communication across the university. It introduces a novel, intelligent decision-support ecosystem that enriches student life by combining a marketplace with a campus information hub to build a smart, connected, and collaborative community.
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Mohd Sobri, Nur Zulaikha UNSPECIFIED Baharuddin, Raihanah UNSPECIFIED Zainudin, Nur Amirah Izzah UNSPECIFIED Budicandra, Nur Hidayah UNSPECIFIED Mohd Azli, Nur Iman Syarah UNSPECIFIED Wan Ghani, Wan Aryati UNSPECIFIED |
| Subjects: | A General Works > Academies and learned societies (General) L Education > LB Theory and practice of education > School life. Student manners and customs. Students Q Science > Q Science (General) > Machine learning |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan |
| Page Range: | pp. 90-93 |
| Keywords: | Student marketplace, decision support system, sentiment analysis, artificial intelligence, big data analytics |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/144294 |
144294.pdf
