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Prof. Dr. Drs. Rahmat Gernowo, M.Si.

Nama Dosen:
Prof. Dr. Drs. Rahmat Gernowo, M.Si.

Program Studi:
Departemen Fisika Universitas Diponegoro (Universitas Diponegoro)

Kepakaran Dosen:
Prof. Rahmat Gernowo merupakan Guru Besar di bidang Geofisika dan Sains Atmosfer. Fokus keahliannya mencakup kajian dinamika atmosfer tropis, analisis fenomena cuaca ekstrem, serta mitigasi bencana hidrometeorologi.

Dalam penelitian dan penerapannya, beliau mengembangkan:

  • Model prediksi atmosfer untuk memahami anomali cuaca ekstrem
  • Sistem deteksi dini fenomena seperti turbulensi udara dan wind shear
  • Analisis curah hujan ekstrem dan variabilitas iklim di wilayah Indonesia

Kepakaran ini berperan penting dalam:

  • Mitigasi bencana (banjir, badai, turbulensi)
  • Keselamatan transportasi udara
  • Pengembangan sistem peringatan dini berbasis data atmosfer

(mf.fsm.undip.ac.id)

Publikasi:

  1. ANALYSIS OF EXTREME RAINFALL OF TROPICAL CYCLONE USING SOLAR RADIATION MANAGEMENT AND ERA5 DATA IN EASTERN PART OF INDONESIA
    https://doi.org/10.21163/GT_2025.201.23 (menuju publisher: Geographia Technica) (Universitas Diponegoro)
  2. Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading
    https://doi.org/10.1007/s10614-025-118124 (Computational Economics) (Universitas Diponegoro)
  3. Data Mining Approach for River Flood Hazard Time-Series: Using a Combination of Triple Exponential Smoothing and Neural Networks, in Demak
    https://doi.org/10.31449/inf.v49i19.XXXX (Informatica) (Universitas Diponegoro)
  4. Enhancing Bank Financial Performance Assessment: A Literature Review of Deep Learning Applications Using the Kitchenham Method
    https://doi.org/10.18326/register.v11i1.54-65 (Register Journal) (Universitas Diponegoro)
  5. MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention
    https://doi.org/10.3389/fcomp.2025.1510252 (Frontiers in Computer Science) (Universitas Diponegoro)
  6. Prediksi Variabilitas Nilai Tukar Rupiah Indonesia Terhadap Dollar Amerika Serikat Berbasis Sistem Inferensi Fuzzy Jaringan Saraf Adaptif sebagai Analisis Tingkat Perekonomian
    https://ejournal.undip.ac.id/index.php/sm/article/view/8031 (E-Journal Undip)