Asriningtias, Salnan Ratih and Sonalitha, Elta ORCID: https://orcid.org/0000-0001-6517-3314 (2018) Aplikasi K-Means Clustering Untuk Pengelompokkan Siswa Ke Dalam Kelas Berdasarkan Nilai Akademis, Jenis Kelamin, Perilaku Dan Nama Siswa Di SMA Negeri 1 Srengat. In: Seminar Nasional Sistem Informasi (SENASIF) 2018, 09-10 Agustus 2018, Universitas Merdeka Malang.

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Abstract

SMA Negeri 1 Srengat has approximately three hundred students per batch that will be grouped into eight classes that have been available for each level. The process of grouping students into the classroom should take account of the appropriate grouping procedures of school policies to obtain optimal learning outcomes. The classification procedures include each class should consist of low achieving and high achieving students, equal distribution of sexes of both men and women for the whole class, equitable distribution of the students' names from az and equitable distribution of values of behavior students. Grouping criteria that formed include student name, student's gender, student's academic value and student's behavior score. To assist the process of grouping the students into the classroom, it is necessary to build an application grouping of students with the method of K-Means Clustering as a cluster value calculator based on the distance value of student data with the value of the cluster center. K-Means Clustering calculation results are grouping students who have similarity criteria into one particular cluster and divide the students into several classes in sequence in order of class in the absence of appropriate grouping procedures.

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