BIBLIOMETRIC ANALYSIS OF STATISTICAL DATA PROCESSING USING SPSS

Background: This research is related to statistical data processing using SPSS (Statistical Package for Social Science). Statistics has several methods that can be used in research, especially in statistical data processing. One of the tools used for quantitative data analysis is SPSS. This article focuses on bibliometric analysis in determining the data to be reviewed. Purpose: Analyze "Statistical Data Processing Using SPSS" through a search on the Web Of Science. Method: Data search is done on Web Of Science, then bibliometric analysis is done using Biblioshiny. Result: The final result through Biblioshiny of export in Bibtex format is a visualization of field category data based on keywords, publication level, regional distribution and several relevant document types. The results demonstrate the efficiency and accuracy of SPSS in data processing and help researchers understand the relationships between variables and make better data-driven decisions. It found 500 documents issued from 1991 to 2023. The annual growth was 13.14% with an average age of 6.08 years from each document. Conclusion: It can be concluded that the opportunity to study statistical data processing using SPSS is more accurate, so readers can use SPSS as a quantitative research data testing tool.