Data Mining for Processing of Research and Community Service by Lecturer Using Decision Tree Method

Fikry, Muhammad and Tjut Adek, Rizal and Fadlisyah, Fadlisyah and bustami, bustami and Nurdin, Nurdin and Hamdana, Defry and Qamal, Mukti (2020) Data Mining for Processing of Research and Community Service by Lecturer Using Decision Tree Method. International Journal of Psychosocial Rehabilitation, 24 (2). pp. 367-371. ISSN 1475-7192

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Abstract

Data on community service and research by the lecturer are important and must be possessed by every lecturer and institution. This is necessary for an effort to ensure quality management of the institution. Therefore needed to get an appropriate algorithm in classifying the data. The Decision Tree algorithm is one of the most powerful and well-known classifications and prediction methods. The decision tree method converts huge facts into decision trees that represent rules. Rules can be easily understood with natural language. Decision Tree algorithm has achieved the main objective of the system to obtain research information and community service at the lecturers. The system work can provide an overview about of the quality of lecturers with data calculated using the Decision Tree method which has an accuracy of 66.67%

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