![]() ![]() Network technology and mobile technologies are two essential and booming This review will benefit practitioners to identify the right techniques for their specific purpose of research.Ībstract. The study collects evidences from the existing literature and organizes it through the process of literature review with some derivations. The report presents the summary of the literature. Therefore, the current study presents a review of the existing techniques of big data insights and scientific programming in the industry of healthcare. A review of the literature is needed in order to collect existing evidence from the literature to show which method or tool works for which particular situation. Numerous approaches, techniques, and tools exist in the literature for supporting, to handle, and manage processing of data. This rise in volume of data can be a challenging task toward analysing the big data for industry and Internet of things (IoT). The volume of healthcare data is increasing with the rising of technology and passage of time. ![]() Data are ever playing a significant role in organization and industry for their daily activities to functional smoothly. However, the results from both approaches found that there is a positive relationship between sustained use of cloud-based point of sale on SMEs non-financial performance during COVID-19 pandemic and the relationship between sustained use of cloud-based point of sale on SMEs financial performance is negative.īig data are the data which need to be shaped for their volume, size, and shape in order to extract meaningful information for an explicit purpose. Technology Continuance Theory (TCT) was used to explain the link between the sustained use of cloud-based point of sale on SMEs’ performance during the COVID-19 pandemic. 9 SMEs representatives, the owner, or the manager, were also interviewed to gain further insights and to confirm the quantitative findings. ![]() The quantitative data which succeeded to collect 91 responses was taken from the questionnaire distribution of the sample SMEs and it was analyzed by using SPSS 21 with the multiple linear regression method, which indicated there is a relationship between sustained-use of cloud-based point of sale on SMEs non-financial performance during COVID-19 pandemic. The sample consists of the food and beverage industries from Small and Medium Enterprises (SMEs) located in Malang City, Indonesia. In this study, both quantitative and qualitative approaches were employed. This study examined the effect of sustained use of cloud-based point of sales on SMEs’ performance during COVID-19 pandemic. Based on the users feedback the system is better in terms of estimating the arrival time. The prototype of application went through several stages of software testing and evaluation. Distance matrix API is able to return time of travel between two points, based on recommended route and traffic information. Furthermore, Google distance matrix Application Programming Interface (API) is used to calculate the estimated arrival time of the vehicle. An application is proposed in this paper and it uses Global Positioning System (GPS) on Android smartphone to determine the location of a vehicle and the coordinates is stored in Firebase Real-time Database which optimized for syncing of data in real-time. This paper aims to improve the accuracy of vehicle estimated time so that users can expect the arrival of the vehicle. With the help of technology, it is possible for the vehicle operators to provide accurate estimated time of arrival to the users. One of the issues in vehicle tracking system is the accuracy of estimation time. ![]() Vehicle tracking application is very important to track the movement of vehicles such as bus, train and taxi. ![]()
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