目标用于可视化数据招生:基督教大学演讲部

Vanesha Glorya Priskilla, Yetli Oslan, Lussy Ernawati
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引用次数: 0

摘要

一所大学的新生招生活动需要被监控,以确定录取和晋升的表现。可以对录取数据进行处理和分析,以确定博览会目的地学校、推广地点和合适的潜在区域。此外,入场数据处理的结果可以用来确定各专业前期爱好者的波动情况或各专业之间爱好者人数的比较。因此,我们需要一个仪表板作为工具,帮助用户分析、监控并在制定与入学活动相关的战略决策时予以考虑。实现的仪表板由一组以图形和数字显示的信息组成。仪表板的用户是招生和推广部门的员工、每个部门的专业负责人和管理员。仪表盘显示了6个维度,分别是时间、地区、测试路线、路径转移、未来学生、学校来源。新生录取数据通过ETL流程处理并存储到数据仓库中。此外,数据仓库用作使用PHP编程语言实现基于web的仪表板应用程序的数据存储。实现的仪表板包括以图表和数字显示的录取信息。在PMB数据可视化中使用的图形包括条形图、甜甜圈图、饼图、柱状图、折线图和地图图。
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Implementasi Dashboard Untuk Visualisasi Data Penerimaan Mahasiswa Baru Studi Kasus : Universitas Kristen Duta Wacana
New Student Admissions activities at an University needs to be monitored to determine the performance of Admission and Promotion. Admission data can be processed and analyzed to determine the expo destination schools, promotion locations, and appropriate potential areas. In addition, the results of Admission data processing can be used to determine the fluctuation of enthusiasts in the Majors from previous periods or the comparison of the number of enthusiasts between Majors. For that reason we need a dashboard as a tool to help user for analyze, monitor and be taken into consideration in making strategic decisions related to Admission activities. The implemented dashboard consists of a collection of information that is visualized in graphs and numbers. The users of the dashboard are employees of the Admissions and Promotion Unit, Head of Majors for each department, and Administrators.                   There are 6 dimensions displayed in the dashboard, namely time, region, test route, path transfer, prospective students, and school origin. The data of new student admissions is processed and stored into the data warehouse through the ETL process. Furthermore, the data warehouse is used as data storage for the implementation of a web-based dashboard application using the PHP programming language. The implemented dashboard consists of Admission information that is visualized into charts and numbers. the graphs that used in PMB data visualization include bar charts, doughnut charts, pie charts, column charts, line charts, and map charts.
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