Open AccessData analysis and data warehouse design based on Pentaho data integration (kettle) to support the determination of student learning achievement
Author(s) -
A D Barahama,
Ratna Wardani
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1098/5/052089
Subject(s) - data warehouse , computer science , dimensional modeling , dimension (graph theory) , completeness (order theory) , field (mathematics) , quality (philosophy) , data transformation , data science , data mining , knowledge management , mathematics , mathematical analysis , pure mathematics , philosophy , epistemology
Data analysis has become a vital requirement in various fields. The results of data analysis can be used as a data warehouse design that is expected to help in solving problems, evaluating learning outcomes and supporting decision making. In the field of education, student achievement is a reference for achieving quality learning. This success can be seen from the achievement of student learning completeness that is the basis for evaluating and making decisions. The data warehouse design can be used as a basis in knowing student learning progress that can be seen from the value obtained. The diversity of data makes managing values difficult and delayed, data warehouse design using Pentaho can help and simplify data integration. The results of the analysis and design of the data warehouse will be presented in a multidimensional form that can be seen through dimension tables and fact tables.