A Mobile Based Pharmacy Store Location-aware System
Journal: Journal of Information and Organizational Sciences (JIOS) (Vol.46, No. 1)Publication Date: 2022-06-29
Authors : Bernard Ijesunor Akhigbe; Oladele J. Ososanya; Emmanuel Ajayi Olajubu;
Page : 213-236
Keywords : Location-aware system; location-based services haversine algorithm; performance evaluation; user experience; ICT;
Abstract
This paper presents a formulated mobile-based location-awareness model that was implemented into a Location-awareness System (L-aS hereafter) for finding the pharmacy location where prescribed drugs and their prices are available for sale. The scenario that inspired the model formulation was formalized using the unified modeling language. The model was implemented within the android studio integrated development environment with the L-aS database created through SQL lite database. The system was tested using user experience based testing technique. Based on core system performance testing, the system demonstrated a normal response time, resource utilization (i.e. storage and memory usage), and data use potentials of 414.6ms, 4.964mb and 1.9116 kb/secs, and 3.0296mb respectively. Therefore, the system performed well under ordinary conditions as an android application running on small memory devices. The study concluded that the developed mobile based pharmacy store location-aware system was useful to provide information to purchase prescribed drugs especially in perplexed situation(s).
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Last modified: 2022-07-14 20:46:27