Abstract
Health is an important part of life, it is also an indicator for progress of country development. But, there are still some health problems found in Indonesia, one of it is dengue infection. Data from the Department of Health states that in 2016 there were 77.96 per 100,000 pupolation (201,885 cases) with mortality rate is 0.79% (1,585 death cases). Clinical symptoms of dengue infection is so resemble with some other fevers, then the right diagnosis is very needed. Feed Forward Neural Network (FFNN) can be used to do an early detection to Dengue Hemorrhagic Fever (DHF) sufferer with training process to the existing data. In this research, we experiment the Gravitational Search Algorithm (GSA) as the Optimation Method to find the optimal weights of the FFNN. We use the medical record data of DHF sufferers who are getting treatment at Tugurejo District Hospital, start from January 2016 to Desember 2016. The accuracy of this research is 0.73188.
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