Mobile Analytics Database Summarization Using Rough Set

Abstract

The mobile device is a device that supports the mobility activities and more portable. However, mobile devices have the limited resources and storage capacity. This deficiency should be considered in order to maximize the functionality of this mobile device. Hence, this study provides a formulation in data management to support a process of storing data with large scale by using Rough Set approach to select the data with relevant and useful information. Additionally, the features are combining analytics method to complete analysis of the data storage processing, making users more easily understand how to read the analysis results. Testing is done by utilizing data from the Malaysia’s Open Government Data about Air Pollutant Index (API) to determine the condition of the air pollution level to the health and safety of the population. The testing has successfully created a summary of the API data with the Rough Set approach to select significant data from the main database based on generated rule. The analysis results of the selected API data are stored as a mobile database and presented in the chart intended to make the data meaningful and easier to understand the analysis results of API conditions using the mobile device.