Mobile application for college activity coupon using QR code scanner / Amirul Lutfi Amin Che Omar

Che Omar, Amirul Lutfi Amin (2021) Mobile application for college activity coupon using QR code scanner / Amirul Lutfi Amin Che Omar. Degree thesis, Universiti Teknologi Mara Perlis.


This aim of this study is to address the inherent issue in managing and storing coupon among the students in UiTM Arau, Perlis. The idea is to design and develop a mobile application for college activity coupon using QR code Scanner. The common problems encountered by any students are the coupon are easily misplaced and steal by others students. The current system has many problems and lack of in managing the coupon. This project is focused on developed the mobile application for students who are reside in college hostel in UiTM Arau. To ensure the effectiveness of this application, this application is integrated with the Firebase Machine Learning Kit that can scan and stored QR code data into Firebase Database. The mobile application has been developed using Java and Extensible Markup Language (XML). In order to evaluate the application, it goes through a series of testing which are Usability Testing and User Acceptance Testing (UAT). These testing was conducted with 10 participants using TeamViewer, Discord and Google Form platform that consists students and lecturer. Therefore, the study has successfully developed the mobile application named My Coupon.


Item Type: Thesis (Degree)
Email / ID Num.
Che Omar, Amirul Lutfi Amin
Subjects: H Social Sciences > HF Commerce > Marketing > Product coding. Bar coding
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software
T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Programme: Information Technology
Keywords: Mobile Application ; College Acivity Coupon ; QR Code Scanner
Date: 10 May 2021
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