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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

Results show that model selection should consider spatial, temporal, and physical diagnostics alongside global accuracy metrics alongside global accuracy metrics in very short-range forecasting of 850-hPa winds over tropical urban-coastal regions.

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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