Application of Classification Method C4.5 on Selection of Exemplary Teachers

Autor:	Anjar Wanto, Agus Perdana Windarto, Syahril Efendi, Herman Mawengkang, Hasudungan Siahaan
Rok vydání:	2019
Předmět:	History Assessment data Social connectedness Computer science media_common.quotation_subject Decision tree Mathematics education Classification methods Personality Competence (human resources) Computer Science Applications Education media_common
Zdroj:	Journal of Physics: Conference Series. 1235:012005
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1235/1/012005
Popis:	The study aims to analyze the selection of exemplary teachers using C4.5 algorithm, which is one of the existing decision tree methods in data mining theory. Teacher data was obtained from the school in SMA Negeri 2 Pematangsiantar (2010-2016). The data used contains information about teacher history and teacher assessment data. This research uses interview technique and questionnaire in obtaining data. There are 11 attributes used in the assessment process: NUPTK, name, age, education, status, Appointment Letter, competence, award, work, teaching load, personality, Position, and label. The system has been tested using the Rapidminer application with 16 data samples. Where the rules are obtained as many as 24 rules. The level of accuracy of the system states that four of the ten attributes have a very significant correlation to the model of relationship rules in determining the proposed model teacher, such as (Position, competence, education, and personality). The four attributes (Position, competence, education, and personality) contribute 82.8% to the model of the rule of connectedness rules in determining the best teacher.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ebf7e6156b299afa98c39390a0e2f4a0 https://doi.org/10.1088/1742-6596/1235/1/012005 Zobrazit plný text záznamu