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

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[/vc_column_text][vc_column_text]The Head of AI and Digital Technology Study Center, ITS[/vc_column_text][vc_separator][vc_btn title=”ad_wibawa@its.ac.id” color=”white” align=”center” i_icon_fontawesome=”fa fa-envelope-o” add_icon=”true”][vc_separator][vc_btn title=”Scopus” color=”white” align=”center” i_icon_fontawesome=”fa fa-university” add_icon=”true” link=”url:https%3A%2F%2Fwww.scopus.com%2Fauthid%2Fdetail.uri%3FauthorId%3D24726221500|title:https%3A%2F%2Fwww.scopus.com%2Fauthid%2Fdetail.uri%3FauthorId%3D24726221500||”][vc_btn title=”Google Scholar” color=”white” align=”center” i_icon_fontawesome=”fa fa-graduation-cap” add_icon=”true” link=”url:https%3A%2F%2Fscholar.google.co.id%2Fcitations%3Fuser%3DvezyaWsAAAAJ%26hl%3Den|||”][/vc_column][vc_column width=”2/3″][vc_tta_tabs][vc_tta_section title=”About” tab_id=”1777879342750-003401f8-ad70″][dot_box_white title=”Bio”]Prof. Dr. Ir. Adhi Dharma Wibawa, S.T., M.T 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.[/dot_box_white][dot_box_white title=”Institut Teknologi Sepuluh Nopember Appointments”]Professor

Medical Technology Study Program, Faculty of Medicine and Health, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia[/dot_box_white][dot_box_white title=”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[/dot_box_white][/vc_tta_section][vc_tta_section title=”Research Outputs” tab_id=”1777879342770-9a758290-a426″][dot_box_white title=”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)

[/dot_box_white][dot_box_white title=”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

[/dot_box_white][/vc_tta_section][vc_tta_section title=”Funding” tab_id=”1777879388744-4ae75c70-a211″][dot_box_white title=”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

[/dot_box_white][/vc_tta_section][vc_tta_section title=”Services & Leadership” tab_id=”1777879400070-db5ab15b-9a5e”][dot_box_white title=”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

[/dot_box_white][/vc_tta_section][vc_tta_section title=”Books” tab_id=”1777879428198-5ec4e6ee-4cbc”][dot_box_white title=”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

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