Pengembangan Kerangka Kerja Berbasis Artificial Neural Network untuk Identifikasi Risiko Proyek Teknologi Informasi
Keywords:
Framework, Algorithm, ANN, IT Project RiskAbstract
Information technology (IT) project risk management is a challenge that requires an effective analytical approach. This research develops an Artificial Neural Network (ANN)-based framework to identify and classify risks in IT projects. The research involves several stages, from collecting historical project data, pre-processing the data, training the ANN model, to interpreting the risk prediction results. The ANN model is designed to handle static project features such as team size, budget, duration, and generate risk classifications based on patterns recognized in the data. eval_uation of the model showed adequate results with 66% accuracy, 48% precision, 51% recall, and 50% F1-score. Further analysis is needed to address class imbalance and optimize model hyperparameters to improve prediction performance. This research contributes to the application of ANN in IT project risk management, with the potential to be implemented in organizations facing similar challengesReferences
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