Penerapan Data Mining untuk Menganalisis Data Mahasiswa Baru

Abstract

Data that accumulates over time will have no value if it is not analyzed. To analyze historical data, it is necessary to use the right method. Data mining or in other terms Data Mining is the right solution to analyze the historical data. It is the pile of data that will be analyzed in this study using data mining techniques. This study aims to determine the pattern of new students at STIE-GK Muara Bulian for the 2021/2022 academic year. The method used in this research is laboratory research or library research. In the process of data analysis, the author uses data mining techniques or data mining. The algorithm used is the Apriori Algorithm. The software used is Weka Data Mining. Based on the test results using Weka data mining software, the 10 best rules were obtained. By focusing on the sub-districts of origin of the new students, the combination obtained is If the new student does not come from Pemayung and Bajubang sub-districts as many as 1 person, then also does not come from Maro Sebo Ulu District as many as 73 people with a 90% confidence level.