Analysis of the C4.5 Algorithm in Determining the Eligibility for Annual Employee Bonus Reception at the BMKG Regional Office of North Sumatra
Keywords:
C4.5, Decision Tree, Annual Bonus, Data Mining, BMKGAbstract
Determining the eligibility for annual employee bonuses is an important form of performance evaluation in human resource management. This study aims to analyse the application of the C4.5 algorithm in determining the eligibility for annual employee bonuses within the BMKG Regional Office of North Sumatra. The method used is quantitative research with a data mining approach, utilising employee data in the form of performance indicators, attendance, and project contributions as input attributes. The C4.5 algorithm is applied to build a decision tree that can predict employees eligible for the annual bonus. The research results show that the C4.5 algorithm is capable of producing a prediction model with a high accuracy level and providing clear decision rules for management in bonus decision-making. This research is expected to serve as a reference for organisations in enhancing the transparency and objectivity of employee bonus determination.
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