Implementing Multiple Dynamic Flip Algorithm: Bread on Mobile Case Study
Mobile apps developers encounter a range of challenges and problems during the development. These issues can vary depending on the platform (iOS, Android, cross-platform) and the specific project, but here are some common problems faced by mobile app developers. The need for a structured mechanism in mobile apps development is urgently crucial to reduce the cost of manpower charges in conjunction with the simple and easy framework to assist mobile apps developer. In response to these scenarios, this paper introduces the Multiple Dynamic Flip Algorithm (MDFA), a new algorithm in developing mobile-based applications that serves as the mobile app’s framework. The algorithm developed allows the data to be stored in the database and the administration of the system can only change the data according to the categories of data that have been systematically arranged in the database. This technique allows changes to information and data to be done automatically without requiring users to run back to mobile-based programming. Process of updating information needs to be generated back in mobile-based programming and needs to be uploaded back in the play store and users must download the application software back. By using this MDFA algorithm, the problem is no longer needed and can be solved more quickly. Implementation results of MDFA via university-industry real case study through Bread on Mobile (BOM) apps used for mobile apps bread ordering.
Authors
- Mustafa Man (ORCID: https://orcid.org/0000-0003-4071-721X)
- Evizal Abdul Kadir (ORCID: https://orcid.org/0000-0003-1258-3840)
- Wan Azelee Wan Abu Bakar (ORCID: https://orcid.org/0000-0002-5871-401X)
- Rosaida Rosly
- Terry Yoew
Institutions
- Universiti Malaysia Terengganu (MY)
- Islamic University of Riau (ID)
- Jabatan Perkhidmatan Awam Malaysia (MY)
- Sultan Zainal Abidin University (MY)
Publication Details
- Journal
- Journal of Advanced Research Design
- Published
- 2025-05-06
- DOI
- https://doi.org/10.37934/ard.129.1.2032
- Primary Topic
- Experimental Learning in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00