Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from the Universitas Sebelas Maret by NewsRx journalists, research stated, “Drought disasters have become a g lobal issue, occurring more frequently due to climate change and increasing wate r usage patterns.” The news editors obtained a quote from the research from Universitas Sebelas Mar et: “Adaptation and mitigation efforts to reduce disaster vulnerability involve effective drought monitoring, such as drought predictions. This study aims to pr edict the hydrological drought index (HDI) for the next 5 years (20242028) in th e Bendung Notog sub-watershed. The HDI prediction modeling is based on machine l earning with an artificial neural network (ANN) algorithm using historical HDI v alues from the past 20 years (2004-2023). The historical HDI was calculated usin g the Threshold Level Method with discharge data transformed by the NRECA method . The drought prediction model demonstrates high accuracy with performance asses sment values of MAE = 0.015, R = 0.91, R2 = 0.82, NSE = 0.82, and RMSE = 0.022. The HDI prediction results indicate that the Bendung Notog sub-watershed experie nces dry conditions annually during the dry season, with the lowest HDI and long est drought duration occurring in 2024.”
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