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Discovering Inactive Students Patterns and Trends by Applying Data Warehouse and Visualisation on Campus Student Record

机译:通过在校园学生记录中应用数据仓库和可视化来发现不活跃的学生的模式和趋势

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Inactive students is one of the problems that is often experienced by several campuses in Indonesia There are several factors that cause students to be inactive which can be categorized into two, namely not officially active and not official. Students are informal and inactivity can lead to other problems. Therefore, college students require active data processing to read and visualize trends that can be used as supporting data for policy making in order not conclude other problems. By using a data warehouse applications, where the ETL process is done as a backend process that can provide supporting data to record and process the data the students are not active. Visualization of inactive student trends is useful for the campus to help display data in an easily understood model. This aims to enable the campus to learn trends and help the campus determine strategic policies so as to reduce the number of levels of inactive students in lectures.
机译:不活跃的学生是印度尼西亚几个校园经常遇到的问题之一。导致学生不活跃的因素有很多,可以分为两类,即没有正式参加活动和没有正式参加活动。学生是非正式的,不运动会导致其他问题。因此,大学生需要积极的数据处理以读取和可视化趋势,这些趋势可以用作决策的辅助数据,以免得出其他问题。通过使用数据仓库应用程序,其中ETL过程作为后端过程完成,该过程可以提供支持数据来记录和处理学生不活跃的数据。不活跃的学生趋势的可视化对于校园帮助以易于理解的模型显示数据非常有用。这旨在使校园了解趋势并帮助校园确定战略政策,以减少演讲中不活跃学生的数量。

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