Rapid application development of pharmaceutical database system / Fatin Natasya Shuhaimi ... [et al.]

Shuhaimi, Fatin Natasya and Saad, Nor Liza and Masrom, Suraya and Ramli, Roslinda (2020) Rapid application development of pharmaceutical database system / Fatin Natasya Shuhaimi ... [et al.]. Mathematical Sciences and Informatics Journal (MIJ), 1 (1). pp. 43-54. ISSN 2735-0703


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This paper provides insight into the design and implementation of a pharmaceutical management system. The primary aim is to demonstrate the rapid development method in developing the important system with Python development tool mainly for the graphical user interfaces and database management. Today, there exists several kinds of pharmaceutical management system have been reported in the literature, but most contents were highly focused on the system functionality and usability studies. The literature that reports on rapid development tools for the system is found to be very limited. Today, with the critical needs of information technology to support fast and accurate data management, the development of information or management system by inexpert users has been an important issue to many organizations. Therefore, this paper presents the system from the aspects of database and usability design and the easy implementation tool for the case of developing a pharmaceutical management system. Usability testing is also provided to show the users evaluation on the system.


Item Type: Article
Shuhaimi, Fatin Natasya
Saad, Nor Liza
Masrom, Suraya
Ramli, Roslinda
Subjects: Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software
Divisions: Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Mathematical Sciences and Informatics Journal (MIJ)
UiTM Journal Collections: Others > Mathematical Science and Information Journal
ISSN: 2735-0703
Volume: 1
Number: 1
Page Range: pp. 43-54
Official URL: https://www.mijuitmjournal.com/
Item ID: 38923
Uncontrolled Keywords: Automated Machine Learning; Genetic Programming; Mutation; Crossover; Classification
URI: https://ir.uitm.edu.my/id/eprint/38923

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