Analisa Kinerja Guru Sekolah di Dinas Pendidikan Dengan Menggunakan Metode Rought Set (Studi Kasus: Dinas Pendidikan Provinsi Sumatera Utara)
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DTM Agus Rezki
*
Budi Darma,
Indonesia
(*) Corresponding Author
Abstract
The teacher is an important resource in supporting the teaching and learning process. The quality of the teacher needs attention because it determines the quality of the teaching and learning process. Data mining has grown rapidly and added value to the information stored in the database. One fairly simple data mining algorithm is Rough Set. Teacher performance measurement can be done using the rough set method. Aspects or attributes assessed using the rough set method consist of: the process of teaching and learning, guidance and consultation, research and community service, and other tasks outside the main task. The research on teacher performance was conducted at the North Sumatra Provincial Education Office. The rough set method can be used to produce an output in the form of a Teacher's achievement. The purpose of applying this rough set method is to help the management in knowing the possibility of teacher achievement based on teacher data that has been stored so far. The benefit gained is that it can be determined early on that the prospective teacher's achievement is based on the knowledge gained through the rough set method. Tanagra is a data mining software in which several data mining methods are provided ranging from exploring data analysis, machine learning, and databases. Tanagra is an "open source project" because each researcher can access to the source code, and add his own algorithm, as long as he agrees and complies with the software distribution license.
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