Prof. Dr. Ir. Adhi Dharma Wibawa, S.T., M.T

WhatsApp Image 2026-02-04 at 14.21.57

Prof. Dr. Ir. Adhi Dharma Wibawa, S.T., M.T

The Head of AI and Digital Technology Study Center, ITS

Bio

Adhi Dharma Wibawa currently serves as the Head of the Center for Artificial Intelligence and Digital Technology Studies at the Sepuluh Nopember Institute of Technology (ITS). In addition to his duties as a lecturer at ITS, he actively contributes to professional organizations, including the Association of Informatics and Computer Higher Education (APTIKOM) and the Institute of Electrical and Electronics Engineers (IEEE).

He completed his Bachelor’s and Master’s degrees in Electrical Engineering at ITS. He then pursued his doctoral studies (Ph.D.) in Biomedical Engineering at the University of Groningen, the Netherlands, at the W.J. Kolff Institute. He completed his doctoral studies in June 2014 with a dissertation entitled “Musculoskeletal Modeling of Healthy Subjects During Normal Walking, Hopping, and Side Jumping,” which focused on modeling the human musculoskeletal system in various motor activities using a computational approach.

His research interests include Biomedical Signal Processing, Text Processing (Text Mining), Artificial Intelligence, and Biomedical Engineering. Currently, the research being developed focuses heavily on physiological signal processing, particularly EEG, EMG, and ECG.

Institut Teknologi Sepuluh Nopember Appointments

Professor

Medical Technology Study Program, Faculty of Medicine and Health, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Degrees

  • Ph.D

Doctoral Degree
University of Groningen, Netherlands
Field: Biomedical Engineering
Year: 2009 – 2014

  • Master

Institut Teknologi Sepuluh Nopember (ITS)
Field: Electrical Engineering
Year: 2004 – 2006

  • Bachelor

Institut Teknologi Sepuluh Nopember (ITS)
Field: Electrical Engineering
Year: 1994 – 2000

Scientific Publications

  • 2026
    Efficient Transformer Models via Language-Aware Frequency-Based Vocabulary Pruning
    IEEE Access
  • 2025
    Classifying Electroencephalogram (EEG) Signals via Brain Activity Mapping to Distinguish Identified vs. Unidentified Information
    CommIT Journal (Scopus Q3)
  • 2025
    Optimizing AI Models for Identifying Buying Intention Using Time-Frequency Domain EEG Features
    Engineering, Technology, and Applied Science Research (ETASR)
  • 2025
    The Role of Gamma Band in Buying Intention Prediction Using Random Forest and Pearson Correlation for Feature Selection Based on EEG Signals
    Journal of Robotics and Control (JRC)
  • 2024
    Trust-Integrated Technology Acceptance Model for Enhancing e-Health Adoption: Insights from Indonesia
    International Journal of Applied Science and Engineering
  • 2024
    The Influence of Trust, Health Beliefs, and Technology Acceptance on the Intention to Use m-Health in Indonesia: An Empirical Study of Users and Non-Users
    International Journal of Technology
  • 2024
    Constructing Mamdani–Intuitionistic Fuzzy Rule Sets to Detect Relaxed States by Transforming Spatio-Temporal EEG Data
    International Journal of Intelligent Engineering and Systems (Scopus Q2)
  • 2023
    EEG Time-Frequency Domain Analysis for Describing Healthy Subjects and Stroke Patients during Stroke Rehabilitation Motion Tasks
    International Journal on Advanced Science, Engineering, and Information Technology (Scopus Q3)
  • 2022
    Rule-based Disease Classification using Text Mining on Symptoms Extraction from Electronic Medical Records in Indonesian
    Jurnal Kinetik (SINTA 2)
  • 2022
    Rules Extraction of Relevance Vector Machine for Predicting Negative Emotions from EEG Signals
    International Journal of Intelligent Engineering and Systems (Scopus Q2)
  • 2022
    Performance Evaluation of 198 Village Governments using Fuzzy TOPSIS and Intuitionistic Fuzzy TOPSIS
    Jurnal Kinetik (SINTA 2)
  • 2022
    Electronic Medical Record Data Analysis and Prediction of Stroke Disease using Explainable Artificial Intelligence
    Jurnal Kinetik (SINTA 2)
  • 2022
    Text Mining for Employee Candidates Automatic Profiling Based on Application Documents
    EMITTER International Journal of Engineering Technology
  • 2020
    Multi-scale Entropy and Multiclass Fisher’s Linear Discriminant for Emotion Recognition Based on Multimodal Signal
    Jurnal Kinetik (SINTA 2)

International Conference Publications

    • 2025
      EEG-based Happy and Sad Emotions Classification using LSTM and Bidirectional LSTM
      The 3rd International Conference on Electronics Representation and Algorithm (ICERA 2021 – Virtual Conference)

    • 2024
      Stress Pattern Recognition Using Spatio-Temporal Features Based on EEG Sport Simulation
      IEEE Industrial Electronics and Applications Conference (IEACon 2024), Kuala Lumpur, Malaysia

      Question Answering System with Unanswerable Question Recognition
      ICECOS 2024, Palembang, Indonesia (Virtual Conference)

      EEG Analysis of Familiar and Unfamiliar Objects Using Wavelet Energy and Shannon Entropy
      KST 2024, Krabi, Thailand

      Identification of Potential Drug-Drug Interactions Using EMR Text-Mining on Atherosclerotic Heart Disease Patients
      IEEE IAICT 2024, Bali, Indonesia

      Neuromarketing Study of Purchase Decisions Using Advertising Videos Based on EEG Signal Analysis
      IEEE IAICT 2024, Bali, Indonesia

      Evaluating Squat Technique in Pound Fitness through Deep Learning and Human Pose Estimation
      ICICoS 2024, Semarang, Indonesia (Hybrid)

      An EEG Pattern Depicting the Attention of Customers while Viewing Video Advertisements
      ICICoS 2024, Semarang, Indonesia (Hybrid)

      EEG Brain Heatmap Visualization for Sweet and Sour Tasting
      ISITIA 2024, Mataram, Indonesia

      EEG Patterns on Learning Concentration Using Short Learning Videos Based on Time-Frequency Domain
      ISITIA 2024, Mataram, Indonesia


    • 2023
      Javanese Batik Image Classification using Self-Organizing Map
      ICCoSITE 2023, Jakarta, Indonesia

    • 2022
      Iris Grid Image Classification using Naïve Bayes for Human Biometric System
      ICISIT 2022, Yogyakarta, Indonesia (Virtual Conference)

      EEG-Based Statistical Analysis on Determining Mental Stress State on Police Personnel
      ICISIT 2022, Yogyakarta, Indonesia (Virtual Conference)


    • 2021
      EEG Data Analytics to Distinguish Happy and Sad Emotions Based on Statistical Features
      ISRITI 2021, Yogyakarta, Indonesia (Virtual Conference)

      Complaint Data Text Analysis on Government Applications using Inference LDA
      EECSI 2021, Semarang, Indonesia

      Data Analytics on the Effect of Climate Change on Fruit Productivity (2014–2020) in Malang District
      International Conference on Smart and Innovative Agriculture 2021

      The Change of Socio-Economic Correlation due to COVID-19 Pandemic in Indonesia
      ICoDSA 2021, Bandung, Indonesia

      Text Mining in Healthcare for Disease Classification using Machine Learning Algorithm
      IES 2021, Surabaya, Indonesia

      Homecare and Hospital Stroke Therapy Comparison using EEG Analysis
      IES 2021, Surabaya, Indonesia


    • 2020
      Classification of P-wave Morphology Using Local Distance Transform and Random Forests
      ICST 2020 (UGM, Virtual Conference)

      Kinematic Gait Characteristics of Stunting Children Using 2D Video Analysis
      ICST 2020 (UGM, Virtual Conference)

      Comparison of EEG Patterns between Real Motion and Imagery Motion Using Statistical Analysis
      ECCIS 2020, Universitas Brawijaya, Malang

      Statistical Analysis of Subject-Specific EEG Data during Stroke Rehabilitation Monitoring
      ECCIS 2020, Universitas Brawijaya, Malang

      Investigating EEG Patterns during Designed Hand Movement Tasks in Stroke Patients
      iSITIA 2020, ITS (Online)

      Feature Selection for EEG-Based Fatigue Analysis using Pearson Correlation
      iSITIA 2020, ITS (Online)

      The Influence of Footwear with Different Soles on EMG Activity of Lower Limb Muscles during Walking
      iSITIA 2020, ITS (Online)

      Theta, Alpha, and Beta Activity in the Occipital Region Based on EEG Signals for Mental Fatigue in High School Students
      ICoSTA 2020, Hotel Mercure Surabaya

Research Projects and Grants

    • 2025
      Development of a Rule-Based Drug Interaction Detection System Using Electronic Medical Records Data
      Funding: Faculty of Medicine and Health

    • 2024
      Development of an AI Model for Cervical Cancer Lesion Detection Based on Liquid-Based Cytology (LBC) Examination in New Cases at the Gynecologic Oncology Clinic, Dr. Soetomo Hospital, Surabaya
      Funding: Faculty of Medicine and Health

      Study of EEG Signal Patterns on Familiar and Unfamiliar Information in the Time-Frequency Domain
      Funding: Faculty of Medicine and Health


    • 2023
      Gender-Based Emotion Pattern Recognition Using EEG Signal Processing
      Funding: Joint Research with NTUST

    • 2022
      Development of an EEG-Based Neuromarketing Platform
      Funding: ITS Flagship Program

      Human Emotion Investigation for Brain-Computer Interface Applications
      Funding: International Research Collaboration (NTUST)

      Analysis and Evaluation of Nutrifood Advertisement Videos Based on EEG Signals
      Funding: Industry Collaboration


    • 2021
      Development of a Big Data Analytics Framework Based on Text Mining for Healthcare Service Data to Support National Competitiveness
      Funding: DIKTI (Multi-year, 3 years)

      Development of Research Ambassador Management Information System (SIMRA)
      Funding: DRPM ITS

      Development of a Self-Rehabilitation Monitoring System for Stroke Patients Using EEG Technology in the New Normal Era
      Funding: DRPM ITS

      Health Management Information System – Self-Service Health Check Kiosk (ITS Flagship Program)
      Funding: DRPM ITS

      Design of an Electronic Module for Smart Detachable Air Purifier for Vehicle and Home Applications to Increase Local Content (TKDN)
      Funding: DRPM ITS


    • 2020
      Development of “Si Ninja”: Organizational and Executive Performance Monitoring System at ITS for Program Management and Control Based on Business Intelligence
      Funding: ITS

Community Service and Outreach Activities

  • 2024
    Development of a Prototype Medication Pillbox
    Funding: Faculty of Medicine and Health, ITS

  • 2023
    Introduction to Medical Technology at Senior High School (SMAN Probolinggo)
    Funding: Faculty of Medicine and Health, ITS

  • 2022
    Webinar on Medical Technology
    Funding: Faculty of Medicine and Health, ITS

    Trainer for “Overview of Smart Healthcare Systems”
    Funding: Directorate of Global Partnerships (DKG), ITS


  • 2021
    Trainer in National Seminar: “Implementation of Artificial Intelligence for Big Data”
    Funding: Community Service Program (Abmas), ITS

  • 2020
    Member of ITS Central COVID-19 Task Force Team
    Funding: Community Service Program (Abmas), ITS

Authored Books

  • 2024
    E-Health: A Technological Revolution Transforming the Healthcare Sector (E-HEALTH: Revolusi Teknologi Yang Mengubah Dunia Kesehatan)
    Publisher: ITS Tekno
    Total Pages: 280
  • 2022
    Preparing a Research Plan for Graduate Students (Menyiapkan Rencana Riset bagi Mahasiswa Program Pascasarjana)
    Publisher: ITS Tekno
    Total Pages: 170
  • 2021
    Understanding Artificial Intelligence and Its Applications (Memahami AI dan Penerapannya)
    Publisher: ITS Tekno
    Total Pages: 172