Open AccessMEMPREDIKSI TINGKAT PEMINAT EKSTRAKURIKULER PADA SISWA SMK ANALISIS KESEHATAN ABDURRAB MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS: SMK ANALIS KESEHATAN ABDURRAB)
Author(s) -
Luluk Elvitaria
Publication year - 2017
Publication title -
rabit
Language(s) - English
Resource type - Journals
eISSN - 2502-891X
pISSN - 2477-2062
DOI - 10.36341/rabit.v2i2.212
Subject(s) - mathematics education , foreign language , vocational school , german , psychology , arabic , computer science , vocational education , pedagogy , linguistics , philosophy
Extracurricular activities are additional activities in schools, where through this activity, students can add or explore the skills of students in self-development efforts. One of the extracurricular activities is foreign language extracurricular activities, covering 5 languages namely Arabic, English, German, Mandarin, Japanese. In knowing students' interest in extracurricular activities, a study was conducted on the level of interest in extracurricular activities, namely foreign languages, students at the Vocational School Health Analyst Abdurrab. In predicting the level of interest in foreign languages by the process of data mining using the C45 Algorithm method. C45 algorithm is a group of Decision Tree Algorithms. From this research, the school can find out the extent of interest in foreign languages in students and schools can increase extracurricular activities and students can develop their interest in foreign languages as they wish.