Analisis Data Mining dengan Metode Algoritma K-Means sebagai penentu pemilihan program Studi Tenik Informatika pada Fakultas Teknik Universitas PGRI Madiun

Data Mining Analysis with the K-Means Algorithm Method as a determinant of the selection of the Informatics Engineering Study program at the Faculty of Engineering, Universitas PGRI Madiun

Abstract

The selection of study programs in an institution is very important to ensure the study program to be chosen, new student registrants. PGRI Madiun University has several study programs, one of which is the Informatics Engineering Study Program at the Faculty of Engineering. In choosing a study program, you must also have interests that must be considered. The purpose of selecting the Informatics engineering study program in choosing a study program is very important to support further learning. In choosing a study program, it is very important to support learning in higher education. In addition, students are more enthusiastic about developing knowledge in the field they have chosen. Therefore, every student who registers as a new student is grouped based on the chosen study program. In data mining analysis, the selection of study programs uses the K-Means method where the K-Means method is a very popular method in clustering, the K-Means algorithm method is one of the best and most popular methods in the clustering algorithm where K-Means looks for the partition that optimally from the data by minimizing the criterion of the number of squared errors with the optimal iteration procedure. The results of the research analysis using the K-Means Algorithm method will group according to the study program chosen by the student.

Keywords— Analysis, Data Mining, K-Means . Algorithm Method