Dr. Eng. Adi Wibowo, S.Si., M.Kom.

Lecturer Name:

Dr. Eng. Adi Wibowo, S.Si., M.Kom.

Study Program:

Lecturer Expertise:
Based on the profile available on scholar.undip.ac.id, Dr. Eng. Adi Wibowo specializes in Artificial Intelligence, machine learning, data mining, and intelligent data-driven systems. His research focuses on the development of deep learning models, reinforcement learning, and complex data analysis for various application domains.

His research areas include:

  • Deep learning and computer vision, such as medical image segmentation and earthquake signal detection for early warning systems

  • Time series analysis and forecasting, including traffic prediction and economic data forecasting using LSTM and fuzzy time series models

  • Internet of Things (IoT) and blockchain technologies, particularly for monitoring systems and anomaly detection such as electricity consumption monitoring

  • Smart systems and e-government, including AI and big data implementation for governmental decision making and smart village evaluation

  • Reinforcement learning and optimization for applications in transportation systems and trading

Practically, his expertise is applied in the development of intelligent systems for smart transportation, disaster detection, medical imaging, and large-scale data-driven decision making.

Publications

  1. Ratio Intervals with Weighted Fuzzy Time Series Forecasting
    Link: https://doi.org/10.1063/5.0326678

  2. Integrated Evaluation Model for Smart Village Effectiveness: A Mixed-Methods and Thematic Analysis Approach
    Link: https://doi.org/10.1109/ACCESS.2026.3665754

  3. Integration of Big Data, Dynamic Systems, and Artificial Intelligence in Local Government Decision Making: A Systematic Literature Review
    Link: https://doi.org/10.1109/IC3INA68387.2025.11325648

  4. A Novel SW-KMA-Bi-LSTM Approach for Improving Traffic Flow Prediction
    Link: https://doi.org/10.22266/ijies2025.0831.07

  5. Deep Learning for Real-Time P-Wave Detection: A Case Study in Indonesia’s Earthquake Early Warning System
    Link: Not found on scholar.undip.ac.id

  6. Optimization of Computational Resources for Real-Time Product Quality Assessment Using Deep Learning and Multiple High Frame Rate Camera Sensors
    Link: Not found on scholar.undip.ac.id

  7. Lightweight Encoder-Decoder Model for Automatic Skin Lesion Segmentation
    Link: Not found on scholar.undip.ac.id

  8. Cardiac Disease Classification Using Two-Dimensional Thickness and Few-Shot Learning Based on Magnetic Resonance Imaging Image Segmentation
    Link: Not found on scholar.undip.ac.id

  9. Anomaly Detection on Displacement Rates and Deformation Pattern Features Using Tree-Based Algorithm in Japan and Indonesia
    Link: Not found on scholar.undip.ac.id

  10. Ambient Intelligence to Detect Misuse of Electricity Consumption Based on IoT Using Blockchain Technology
    Link: Not found on scholar.undip.ac.id