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All Journal IJIIS: International Journal of Informatics and Information Systems
Henry Riyandi
Magister Informatics Program, Universitas Raharja, Indonesia
Computer Science & IT

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Data Mining Integration with PostgreSQL Extension by K-Means, ID3 and 1R Method Tri Wahyuningsih; I Ketut Gunawan; Abdullah Dwi Srenggini; Henry Riyandi
International Journal of Informatics and Information Systems Vol 5, No 2: March 2022
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v5i2.129

Abstract

Data mining is a tool that allows users to quickly access large amounts of data. The purpose of this study was to analyze the integration of data mining technique algorithms into the PostgreSQL database management system. The method used in this research is K-Means, ID3 and 1R, the tools used to implement data mining using RapidMiner and PostgreSQL tools. In this study, the number of rows to be analyzed is 100,000 records, 500,000 records, and 1,000,000 records. The results obtained are the algorithm implemented to validate the data by using an experimental design that serves to observe the time that the analysis of the algorithm that has been integrated into the DBMS is smaller than the results from Rapidminer. As the number of records increases, data analysis becomes difficult using RapidMiner.Data mining techniques, Database management system, Partition, Response time
Co-Authors Abdullah Dwi Srenggini I Ketut Gunawan Tri Wahyuningsih