02 March 2026
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Artikel Ilmiah

Increasing global temperatures over recent decades are evidence of global warming. Central Java Province, Indonesia, located in the equatorial region, may also be impacted by global warming. To invest...

Penelitian Diunggah Oleh: mega

The Thermal Humidity Index (THI) serves as a critical measure of environmental thermal comfort, particularly vital for living beings in densely populated regions. This study projects and classifies TH...

Penelitian Diunggah Oleh: iis
Kata kunci: coastal north central java, random forest (RF), temperature humidity index (THI), thermal comfort, XGBoost

Studies of climate information that rely on accurate and reliable data are essential in hydrometeorological monitoring, early warning, and climate change impacts in areas with varied topography and li...

Penelitian Diunggah Oleh: iis
Kata kunci: datagrid, precipitation, surface air temperature (SAT), sea surface temperature (SST), evaluation

Accurate rainfall forecasting is crucial for addressing the increasing risk of hydrometeorological disasters, particularly in tropical regions such as Semarang City, Indonesia. However, conventional f...

Penelitian Diunggah Oleh: iis
Kata kunci: LSSVR, LSTM, NMF, Rainfall Prediction, Spatial Visualization, SSA

Drought is a natural disaster with widespread impacts on agriculture and water availability, particularly in the Gajah Mungkur Reservoir area of Wonogiri Regency, Indonesia. Rainfall instability drive...

Penelitian Diunggah Oleh: iis
Kata kunci: Kekeringan, SPEI, LSTM, Bi-LSTM, Prophet

This study aims to compare the performance of automatic and manual rain gauges in the Central Highlands of Central Java using a machine learning approach based on Extreme Gradient Boosting (XGBoost) a...

Penelitian Diunggah Oleh: iis
Kata kunci: Automatic Gauge, Predictive Modeling, Rainfall, Random Forest, XGBoost

Rainfall plays a critical role in the global water and energy cycle, influencing surface water availability and recharge processes both spatially and temporally. Traditional rainfall data collection u...

Penelitian Diunggah Oleh: iis
Kata kunci: Rainfall, Imputation, IDW, ANN, Missing Data
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