Predictive Modeling of Microstrip Antenna Slot Dimensions Using Random Forest Regression

Yusuf ; Aisya Nur Aulia ; Nurdiniyah ; Elsa Sari Hayunah ; Amalia ; Norma

Jurnal Elektronika dan Komputer 📅 2025 Vol 18, No 1 🔗 DOI: 10.51903/elkom.v18i1.2915

Abstract

This study presents a machine learning approach for predicting the dimensions of microstrip antenna slots based on antenna performance parameters such as frequency, gain, directivity, return loss (S11), radiation efficiency, and VSWR. A two-phase methodology was employed. In the first phase, ten regression algorithms were evaluated, and Random Forest was identified as the most effective model based on Mean Absolute Error (MAE) and R-squared (R²) scores. In the second phase, hyperparameter tuning was conducted using Grid Search to further improve the model’s performance. The optimized Random Forest model demonstrated consistent improvements in predictive accuracy, with R² values increasing across all output variables. These results indicate that the combination of regression-based modeling and systematic hyperparameter tuning is effective for capturing complex relationships in antenna design tasks. The proposed approach offers a promising data-driven alternative for geometric prediction in microstrip antenna development, particularly when analytical models are insufficient.

Keywords

Machine Learning; Microstrip Antenna; Prediction; Random Forest; Regression

How to Cite

Yusuf, et al. (2025). Predictive Modeling of Microstrip Antenna Slot Dimensions Using Random Forest Regression. Jurnal Elektronika dan Komputer, 18(1). https://doi.org/10.51903/elkom.v18i1.2915

Yusuf, Aisya Nur Aulia; Nurdiniyah, Elsa Sari Hayunah; Amalia, Norma, "Predictive Modeling of Microstrip Antenna Slot Dimensions Using Random Forest Regression," Jurnal Elektronika dan Komputer, vol. 18, no. 1, 2025.

Yusuf, Aisya Nur Aulia; Nurdiniyah, Elsa Sari Hayunah; Amalia, Norma. "Predictive Modeling of Microstrip Antenna Slot Dimensions Using Random Forest Regression." Jurnal Elektronika dan Komputer, vol. 18, no. 1, 2025.

Yusuf, et al. (2025) 'Predictive Modeling of Microstrip Antenna Slot Dimensions Using Random Forest Regression', Jurnal Elektronika dan Komputer, 18(1). doi: 10.51903/elkom.v18i1.2915.

Yusuf, Aisya Nur Aulia; Nurdiniyah, Elsa Sari Hayunah; Amalia, Norma. Predictive Modeling of Microstrip Antenna Slot Dimensions Using Random Forest Regression. Jurnal Elektronika dan Komputer. 2025;18(1).

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