Prediction of Health Building Conditions using Artificial Neural Networks in Bondowoso Regency
DOI:
https://doi.org/10.32832/astonjadro.v15i3.21764Keywords:
ANN, building condition, health building, Bondowoso.Abstract
Healthcare buildings are vital infrastructure that play a role in supporting medical services to the community. Limited maintenance budgets and manual inspection methods often lead to delays in detecting building damage. This study aims to develop a predictive model for the condition of healthcare buildings using an Artificial Neural Network (ANN) with a case study in Bondowoso Regency. The variables used include building age, maintenance history, usage intensity, environmental conditions, and existing conditions. Data were collected from field surveys, technical documentation, and interviews with healthcare facility managers. The results show that the Artificial Neural Network (ANN) model is able to predict building conditions with a high level of probabilistic accuracy for the next 1, 5, and 10 years. These findings can be used as a basis for prioritizing maintenance and formulating local government policies to maintain the sustainability of healthcare facilities.
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