Analisis Prediksi Kebutuhan Energi Listrik Wilayah Kabupaten Bekasi Berbasis Jaringan Syaraf Tiruan Multilayer Perceptron (MLP)

1. Introduction 1.1 Background of the Study 1.2 Research Problem 1.3 Objectives of the Study 1.4 Research Methodology 2. Literature Review 2.1 Energy Demand Forecasting 2.2 Artificial Neural Networks (ANN) 2.3 Multilayer Perceptron (MLP) Overview 2.4 Previous Studies in Energy Forecasting 3. Study Area Profile 3.1 Geographic Location 3.2 Demographics and Economy 3.3 Current Energy Consumption 3.4 Growth Trends and Projections 4. Methodology 4.1 Research Design 4.2 Data Collection Process 4.3 Model Development 4.4 Evaluation Metrics 5. Multilayer Perceptron Model 5.1 MLP Network Architecture 5.2 Training Process Details 5.3 Validation and Testing 5.4 Tuning Hyperparameters 6. Results and Discussion 6.1 Model Training Outcomes 6.2 Prediction Accuracy Assessment 6.3 Comparison with Other Models 6.4 Interpretation of Results 7. Challenges and Limitations 7.1 Data-Related Challenges 7.2 Model Limitations 7.3 External Influencing Factors 7.4 Potential Improvements 8. Conclusions and Recommendations 8.1 Summary of Findings 8.2 Implications for Energy Policy 8.3 Future Research Directions 8.4 Final Remarks