Analysis Key Performance Indicator Using the ANN Method to Assess Employee Performance at PT. Nisfu Advertising Communication
Analisis Key Performance Indicator Sebagai alat pengukur kinerja karyawan PT. Nisfu Advertising Communication Menggunakan Metode ANN
DOI:
https://doi.org/10.21070/ups.9136Keywords:
Artificial Neural Network, Key Performance Indicator, Sales Rate, Sales VolumeAbstract
This study aims to analyze and predict employee Key Performance Indicators (KPIs) at PT. Nisfu Advertising Communications using the Artificial Neural Network (ANN) method. The model was developed based on two main input variables, namely Sales Value (X1) and Sales Quantity (X2), which are indicators of employee productivity and performance in the marketing field. Employee sales data for 2024 was used as the dataset, with a total of 136 samples. The results of training and testing the ANN model showed excellent predictive performance, indicated by a coefficient of determination (R²) value close to 1, as well as low error values in evaluation metrics such as MSE, RMSE, MAE, and MAPE. Sensitivity analysis showed that the variable X1 has a correlation of 0.9991, and X2 is 0.9984, indicating that both variables have a significant influence on the KPI value. Thus, the ANN model is proven to be effective in predicting employee performance quantitatively and objectively.
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