A Mobile Based Pharmacy Store Location-aware System

IF 0.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Information and Organizational Sciences Pub Date : 2022-06-29 DOI:10.31341/jios.46.1.12

B. I. Akhigbe, Oladele Joseph Ososanya, E. Olajubu

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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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基于移动的药店位置感知系统

本文提出了一种基于移动设备的位置感知模型，并将其应用到位置感知系统(以下简称L-aS)中，用于查找处方药物及其价格可售的药房位置。启发模型公式的场景是使用统一建模语言形式化的。该模型在android studio集成开发环境中实现，并通过SQL lite数据库创建L-aS数据库。采用基于用户体验的测试技术对系统进行了测试。根据核心系统性能测试，系统的响应时间、资源利用率(即存储和内存使用)和数据使用潜力分别为414.6ms、4.964mb和1.9116 kb/secs和3.0296mb，处于正常状态。因此，作为一个运行在小内存设备上的android应用程序，该系统在普通条件下表现良好。研究结果表明，所开发的移动药店位置感知系统能够有效地为药店购买处方药提供信息，特别是在困惑的情况下。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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