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Author

A. A. Waskita

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Open access Sep 2026

COMPARATIVE EVALUATION OF LSTM AND TRANSFORMER MODELS FOR SURFACE METHANE FORECASTING IN JAKARTA

Short-horizon forecasting of near-surface methane (CH?) in tropical urban environments remains underexplored. This study compares Long Short-Term Memory (LSTM) and Transformer-based models for three-hour-ahead surface CH? forecasting in Jakarta using CAMS EAC4 reanalysis and BMKG Kemayoran observations. Historical CH?,...

Farid Faisal, Choirul Basir, A. A. Waskita · 0 citations
Open access Sep 2026

PERFORMANCE OF U-NET AND CONVLSTM FOR 850 HPA WIND FORECASTING IN JAKARTA

Very short-range forecasting of 850-hPa winds over tropical urban-coastal regions remains challenging due to complex land-sea circulation, topography, and rapidly changing atmospheric conditions. This study compares a CNN/U-Net baseline and an encoder-decoder Convolutional Long Short-Term Memory (ConvLSTM) model for gr...

Gatot Andriyanto, A. Susanto, A. A. Waskita · 0 citations
Open access Aug 2026

Hybrid VMD-CNN1D Framework: Evaluating Decomposition’s Contribution to PM2.5 Prediction

Findings show that rigorous parameter selection, bias correction, and multi-run validation, not architectural complexity alone, make decomposition-based deep learning reliable for PM2.5 prediction, offering a reproducibility-aware baseline for a future Jakarta air-quality early-warning system.

Dwi Yuwono, A. A. Waskita, Tukiyat Tukiyat · 0 citations

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