Development of a Digital Academic Dashboard for Data Analysis and New Student Admission Strategy at SMKS Al-Mujtama' Pamekasan
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Keywords: Business Intelligence, Academic Dashboard, Data-Driven Decision Making, New Student Admissions, CDIOAbstract
The management of academic data and the admission of new students in vocational high schools is still largely done manually and separately, making it difficult to analyze data and make strategic decisions based on it. This study aims to develop a Business Intelligence (BI)-based Digital Academic Dashboard to analyze academic data and support new student admission strategies at SMKS Al-Mujtama' Pamekasan through a Data-Driven Decision Making (DDDM) approach. The study uses a descriptive quantitative approach with the CDIO (Conceive, Design, Implement, Operate) methodology. Data was obtained through observation and documentation of school data, including student grades, attendance rates, applicant data, and applicants' regions of origin. Data was analyzed using BI techniques such as descriptive analysis, trend analysis, data visualization, and comparative analysis before and after the implementation of the dashboard. The results showed that the web-based academic dashboard was able to present academic information in an integrated and real-time manner in the form of interactive graphs and tables. The application of BI improves data management efficiency, speeds up the analysis process, and helps schools identify academic trends and the potential of applicant regions more accurately. Thus, the Digital Academic Dashboard has proven to be effective as a tool to support strategic decision-making, particularly in academic evaluation and planning strategies for new student admissions. at SMKS Al-Mujtama' Pamekasan.
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