PREDIKSI PENYAKIT JANTUNG MENGGUNAKAN METODE DEEP NEURAL NETWORK DENGAN MEMANFAATKAN INTERNET OF THINGS

Heart disease is one of the most deadly diseases in the world. Early detection and prevention are key to reducing the number of deaths from heart disease. The deep neural network (DNN) method has been used in various health applications, including in heart disease prediction. However, to make accurate and effective predictions, quality and continuous data is required. One solution to collect quality data is to utilize Internet of Things (IoT) technology that can collect data continuously and in real-time from various devices. Deep neural network method to predict heart disease using data collected through Internet of Things technology. Data collection from one of the rate parameters will be processed and divided into training data sets and testing data sets. After training the DNN model, the model is evaluated using the testing dataset. The analysis results show that the DNN model provides the highest accuracy with a prediction success rate of 99.62%. From these results, it shows that the use of deep neural network methods by utilizing Internet of Things technology can provide accurate and effective prediction results in predicting heart disease. And will be visualized using Tableau.

Keywords: Deep Neural Network, Internet of Things, Heart Disease, Prediction, Tableau.