Optimization of Job Training in Improving Yantek Performance at PT XYZ With ADDIE Model Design

Abstract
Job training is the key to improving the performance of Technical Service Officers (Yantek) at PT XYZ.. This study aims to evaluate the effectiveness of ongoing job training and identify areas that need improvement. Through an in-depth analysis of the training curriculum, teaching methods, and Yantek performance after training, this study proposes recommendations for optimizing the training program. The results of the study are expected to improve the quality of service to customers and support the achievement of company performance targets.
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How to Cite

Aneke Putri Nadila & Hafid Syaifullah (2024). Optimization of Job Training in Improving Yantek Performance at PT XYZ With ADDIE Model Design. International Journal of Mechanical, Industrial and Control Systems Engineering, 1(4). https://doi.org/10.61132/ijmicse.v1i4.124

Aneke Putri Nadila; Hafid Syaifullah, "Optimization of Job Training in Improving Yantek Performance at PT XYZ With ADDIE Model Design," International Journal of Mechanical, Industrial and Control Systems Engineering, vol. 1, no. 4, 2024.

Aneke Putri Nadila; Hafid Syaifullah. "Optimization of Job Training in Improving Yantek Performance at PT XYZ With ADDIE Model Design." International Journal of Mechanical, Industrial and Control Systems Engineering, vol. 1, no. 4, 2024.

Aneke Putri Nadila; Hafid Syaifullah. "Optimization of Job Training in Improving Yantek Performance at PT XYZ With ADDIE Model Design." International Journal of Mechanical, Industrial and Control Systems Engineering 1, no. 4 (2024).

Aneke Putri Nadila & Hafid Syaifullah (2024) 'Optimization of Job Training in Improving Yantek Performance at PT XYZ With ADDIE Model Design', International Journal of Mechanical, Industrial and Control Systems Engineering, 1(4). doi: 10.61132/ijmicse.v1i4.124.

Aneke Putri Nadila; Hafid Syaifullah. Optimization of Job Training in Improving Yantek Performance at PT XYZ With ADDIE Model Design. International Journal of Mechanical, Industrial and Control Systems Engineering. 2024;1(4).

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