Content area
Scientific publication data is sourced from the SINTA website to measure the performance of journals, institutions, and researchers in Indonesia. Accessing and analyzing data for institutional needs is restricted, and lecturer development patterns based on lecturer characteristics remain untapped. The study aims to analyze and design business intelligence system models to measure the performance of scientific publications using dimensional models, clustering, on-line analytical processing (OLAP), and prototyping. Research methods are carried out through data and information needs analysis, data warehouse design, data mining and OLAP application, business intelligence system development, and system evaluation. The resulting dimensional models are the researcher index model, the researcher score model, the publication article model, and the research subject model. Measurements of data size and processing time show that the star schema has data of 336 KB and a processing time of 0.00554 seconds, is the best model compared to the snowflake's schema, which has data of 368 KB and a processing time of 0.00611 seconds. Davies-Bouldin Index (DBI) measurements show the best clustering performance is the X-means algorithm with K as many as 5 clusters (Kmin=3, Kmax=5) and a DBI value of 0.537040.
Details
Management decisions;
Data visualization;
Data mining;
Customer relationship management;
Executive information systems;
Clustering;
Performance evaluation;
Dimensional analysis;
Online analytical processing;
Hirsch index;
Intelligence (information);
Design analysis;
Data analysis;
Machine learning;
Research methodology;
Bibliometrics;
Publications;
Business intelligence;
Decision making;
Prototyping;
Knowledge management;
Algorithms;
Performance management;
Data warehouses
1 Study Program of Industrial Engineering, Faculty of Engineering and Informatics, Universitas Bina Sarana Informatika, Jakarta, Indonesia
2 Master of Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti, Jakarta, Indonesia
3 Department of Industrial Engineering and Management, College of Engineering, Yuan Ze University, Taoyuan City, Taiwan