Prof. Dr. Rahmat Gernowo, M.Si.

Lecturer Name:

Prof. Dr. Rahmat Gernowo, M.Si.

Study Program:

Lecturer Expertise:
Prof. Dr. Rahmat Gernowo’s main expertise is in geophysics and atmospheric science, with research focusing on tropical atmospheric dynamics, climate change, and hydrometeorological phenomena such as extreme rainfall, floods, and droughts.

His studies extensively utilize numerical atmospheric modeling, including the Weather Research and Forecasting (WRF) model, climate data analysis, and the integration of computational methods such as machine learning and data mining.

The applications of his expertise include hydrometeorological disaster mitigation, regional vulnerability mapping related to climate change, and the development of data-driven prediction systems to support decision-making in environmental and economic sectors.

Publications

    1. ANALYSIS OF EXTREME RAINFALL OF TROPICAL CYCLONE USING SOLAR RADIATION MANAGEMENT AND ERA5 DATA IN EASTERN PART OF INDONESIA
      Link: https://doi.org/10.5194/gt-20-298-2025
      (Geographia Technica)

    2. Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading
      Link: Not found on scholar.undip.ac.id

    3. Data Mining Approach for River Flood Hazard Time-Series: Using a Combination of Triple Exponential Smoothing and Neural Networks, in Demak
      Link: Not found on scholar.undip.ac.id

    4. Enhancing Bank Financial Performance Assessment: A Literature Review of Deep Learning Applications Using the Kitchenham Method
      Link: Not found on scholar.undip.ac.id

    5. MoNetViT: An Efficient Fusion of CNN and Transformer Technologies for Visual Navigation Assistance with Multi Query Attention
      Link: Not found on scholar.undip.ac.id

    6. The Atmospheric Dynamic Extreme of Tropical as an Analysis of Climate Change in Indonesia
      Link: https://doi.org/10.21163/GT_2020.152.14

    7. Assessing Vulnerability of Agriculture to Drought in East Java, Indonesia: Application of GIS and AHP
      Link: Not found on scholar.undip.ac.id

    8. Prediksi Variabilitas Nilai Tukar Rupiah Indonesia Terhadap Dollar Amerika Serikat Berbasis Sistem Inferensi Fuzzy Jaringan Saraf Adaptif sebagai Analisis Tingkat Perekonomian
      Link: https://ejournal.undip.ac.id/index.php/sm/article/view/8031