Prof. Dr. Ir. R. Rizal Isnanto, S.T., M.M., M.T., IPU, ASEAN. Eng

Lecturer Name:

Prof. Dr. Ir. R. Rizal Isnanto, S.T., M.M., M.T., IPU, ASEAN. Eng

Study Program:

Lecturer Expertise:
Based on the profile available on scholar.undip.ac.id, Prof. R. Rizal Isnanto’s primary expertise lies in Computer Engineering, particularly in image processing, pattern recognition, and artificial intelligence. His research focuses on the development of biometric systems for individual identification, digital image analysis, and the application of machine learning and deep learning in various domains such as healthcare, security systems, and data classification.

In addition, his research also covers data science, intelligent systems, and the implementation of computational algorithms for modeling and data-driven decision making.

The applications of his expertise are widely used in biometric identification systems, medical image analysis, and intelligent data-based systems across various technological sectors.

Publications

  1. Co-Training Pseudo-Labeling for Text Classification with Support Vector Machine and Long Short-Term Memory
    Link: https://doi.org/10.11591/ijai.v14.i3.pp2158-2168

  2. A Combination Method of ROI, CLAHE, and DenseNet-169 for Hip Osteoarthritis Detection
    Link: https://doi.org/10.48084/etasr.6825

  3. A Proposed Model for Detecting Learning Styles Based on the Felder-Silverman Model Using KNN and LR with Electroencephalography (EEG)
    Link: Not found on scholar.undip.ac.id

  4. A Fuzzy Logic Model for Loan Recommendations in Online Lending Systems Using the California Psychological Inventory
    Link: Not found on scholar.undip.ac.id

  5. A Comparative Study of Machine Learning Algorithms for Fall Detection in Technology-Based Healthcare System: Analyzing SVM, KNN, Decision Tree, Random Forest, LSTM, and CNN
    Link: https://doi.org/10.1051/e3sconf/202560503051

  6. Analisis Penguatan Jaringan Distribusi dalam Penyelenggaraan Event Internasional di Wilayah Kerja ULP Manahan-Surakarta
    Link: https://doi.org/10.14710/jpii.2024.24573

  7. Analisis Keamanan pada Aplikasi Her-registrasi Online Mahasiswa Universitas Diponegoro
    Link: https://doi.org/10.14710/jtsiskom.4.3.2016.479-484