[vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/3″][vc_single_image image=”1198″ img_size=”250×250″ alignment=”center” style=”vc_box_circle_2″][vc_column_text]<\/p>\n
[\/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<\/strong>\u00a0currently 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).<\/span><\/p>\n 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.<\/span><\/p>\n 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.<\/span>[\/dot_box_white][dot_box_white title=”Institut Teknologi Sepuluh Nopember Appointments”]Professor<\/strong><\/p>\n Medical Technology Study Program, Faculty of Medicine and Health, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia<\/span>[\/dot_box_white][dot_box_white title=”Degrees”]<\/p>\n Doctoral Degree Institut Teknologi Sepuluh Nopember (ITS) Institut Teknologi Sepuluh Nopember (ITS) [\/dot_box_white][dot_box_white title=”International Conference Publications”]<\/p>\n 2024<\/strong> Question Answering System with Unanswerable Question Recognition<\/em> EEG Analysis of Familiar and Unfamiliar Objects Using Wavelet Energy and Shannon Entropy<\/em> Identification of Potential Drug-Drug Interactions Using EMR Text-Mining on Atherosclerotic Heart Disease Patients<\/em> Neuromarketing Study of Purchase Decisions Using Advertising Videos Based on EEG Signal Analysis<\/em> Evaluating Squat Technique in Pound Fitness through Deep Learning and Human Pose Estimation<\/em> An EEG Pattern Depicting the Attention of Customers while Viewing Video Advertisements<\/em> EEG Brain Heatmap Visualization for Sweet and Sour Tasting<\/em> EEG Patterns on Learning Concentration Using Short Learning Videos Based on Time-Frequency Domain<\/em> 2022<\/strong> EEG-Based Statistical Analysis on Determining Mental Stress State on Police Personnel<\/em> 2021<\/strong> Complaint Data Text Analysis on Government Applications using Inference LDA<\/em> Data Analytics on the Effect of Climate Change on Fruit Productivity (2014\u20132020) in Malang District<\/em> The Change of Socio-Economic Correlation due to COVID-19 Pandemic in Indonesia<\/em> Text Mining in Healthcare for Disease Classification using Machine Learning Algorithm<\/em> Homecare and Hospital Stroke Therapy Comparison using EEG Analysis<\/em> 2020<\/strong> Kinematic Gait Characteristics of Stunting Children Using 2D Video Analysis<\/em> Comparison of EEG Patterns between Real Motion and Imagery Motion Using Statistical Analysis<\/em> Statistical Analysis of Subject-Specific EEG Data during Stroke Rehabilitation Monitoring<\/em> Investigating EEG Patterns during Designed Hand Movement Tasks in Stroke Patients<\/em> Feature Selection for EEG-Based Fatigue Analysis using Pearson Correlation<\/em> The Influence of Footwear with Different Soles on EMG Activity of Lower Limb Muscles during Walking<\/em> Theta, Alpha, and Beta Activity in the Occipital Region Based on EEG Signals for Mental Fatigue in High School Students<\/em> [\/dot_box_white][\/vc_tta_section][vc_tta_section title=”Funding” tab_id=”1777879388744-4ae75c70-a211″][dot_box_white title=”Research Projects and Grants”]<\/p>\n 2024<\/strong> Study of EEG Signal Patterns on Familiar and Unfamiliar Information in the Time-Frequency Domain<\/em> 2022<\/strong> Human Emotion Investigation for Brain-Computer Interface Applications<\/em> Analysis and Evaluation of Nutrifood Advertisement Videos Based on EEG Signals<\/em> 2021<\/strong> Development of Research Ambassador Management Information System (SIMRA)<\/em> Development of a Self-Rehabilitation Monitoring System for Stroke Patients Using EEG Technology in the New Normal Era<\/em> Health Management Information System \u2013 Self-Service Health Check Kiosk (ITS Flagship Program)<\/em> Design of an Electronic Module for Smart Detachable Air Purifier for Vehicle and Home Applications to Increase Local Content (TKDN)<\/em> [\/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”]<\/p>\n 2022<\/strong> Trainer for \u201cOverview of Smart Healthcare Systems\u201d<\/em> [\/dot_box_white][\/vc_tta_section][vc_tta_section title=”Books” tab_id=”1777879428198-5ec4e6ee-4cbc”][dot_box_white title=”Authored Books”]<\/p>\n [\/dot_box_white][\/vc_tta_section][\/vc_tta_tabs][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":" [vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/3″][vc_single_image image=”1198″ img_size=”250×250″ alignment=”center” style=”vc_box_circle_2″][vc_column_text] Prof. Dr. Ir. Adhi Dharma Wibawa, S.T., M.T [\/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., […]<\/p>\n","protected":false},"author":857,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_joinchat":[],"footnotes":""},"class_list":["post-1318","page","type-page","status-publish","hentry"],"yoast_head":"\n\n
\nUniversity of Groningen, Netherlands
\nField: Biomedical Engineering
\nYear: 2009 \u2013 2014<\/p>\n\n
\nField: Electrical Engineering
\nYear: 2004 \u2013 2006<\/p>\n\n
\nField: Electrical Engineering
\nYear: 1994 \u2013 2000[\/dot_box_white][\/vc_tta_section][vc_tta_section title=”Research Outputs” tab_id=”1777879342770-9a758290-a426″][dot_box_white title=”Scientific Publications”]<\/p>\n\n
Efficient Transformer Models via Language-Aware Frequency-Based Vocabulary Pruning<\/em>
IEEE Access<\/li>\n
Classifying Electroencephalogram (EEG) Signals via Brain Activity Mapping to Distinguish Identified vs. Unidentified Information<\/em>
CommIT Journal (Scopus Q3)<\/li>\n
Optimizing AI Models for Identifying Buying Intention Using Time-Frequency Domain EEG Features<\/em>
Engineering, Technology, and Applied Science Research (ETASR)<\/li>\n
The Role of Gamma Band in Buying Intention Prediction Using Random Forest and Pearson Correlation for Feature Selection Based on EEG Signals<\/em>
Journal of Robotics and Control (JRC)<\/li>\n
Trust-Integrated Technology Acceptance Model for Enhancing e-Health Adoption: Insights from Indonesia<\/em>
International Journal of Applied Science and Engineering<\/li>\n
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<\/em>
International Journal of Technology<\/li>\n
Constructing Mamdani\u2013Intuitionistic Fuzzy Rule Sets to Detect Relaxed States by Transforming Spatio-Temporal EEG Data<\/em>
International Journal of Intelligent Engineering and Systems (Scopus Q2)<\/li>\n
EEG Time-Frequency Domain Analysis for Describing Healthy Subjects and Stroke Patients during Stroke Rehabilitation Motion Tasks<\/em>
International Journal on Advanced Science, Engineering, and Information Technology (Scopus Q3)<\/li>\n
Rule-based Disease Classification using Text Mining on Symptoms Extraction from Electronic Medical Records in Indonesian<\/em>
Jurnal Kinetik (SINTA 2)<\/li>\n
Rules Extraction of Relevance Vector Machine for Predicting Negative Emotions from EEG Signals<\/em>
International Journal of Intelligent Engineering and Systems (Scopus Q2)<\/li>\n
Performance Evaluation of 198 Village Governments using Fuzzy TOPSIS and Intuitionistic Fuzzy TOPSIS<\/em>
Jurnal Kinetik (SINTA 2)<\/li>\n
Electronic Medical Record Data Analysis and Prediction of Stroke Disease using Explainable Artificial Intelligence<\/em>
Jurnal Kinetik (SINTA 2)<\/li>\n
Text Mining for Employee Candidates Automatic Profiling Based on Application Documents<\/em>
EMITTER International Journal of Engineering Technology<\/li>\n
Multi-scale Entropy and Multiclass Fisher\u2019s Linear Discriminant for Emotion Recognition Based on Multimodal Signal<\/em>
Jurnal Kinetik (SINTA 2)<\/li>\n<\/ul>\n\n
\n
EEG-based Happy and Sad Emotions Classification using LSTM and Bidirectional LSTM<\/em>
The 3rd International Conference on Electronics Representation and Algorithm (ICERA 2021 \u2013 Virtual Conference)<\/li>\n<\/ul>\n
\n\n
Stress Pattern Recognition Using Spatio-Temporal Features Based on EEG Sport Simulation<\/em>
IEEE Industrial Electronics and Applications Conference (IEACon 2024), Kuala Lumpur, Malaysia<\/p>\n
ICECOS 2024, Palembang, Indonesia (Virtual Conference)<\/p>\n
KST 2024, Krabi, Thailand<\/p>\n
IEEE IAICT 2024, Bali, Indonesia<\/p>\n
IEEE IAICT 2024, Bali, Indonesia<\/p>\n
ICICoS 2024, Semarang, Indonesia (Hybrid)<\/p>\n
ICICoS 2024, Semarang, Indonesia (Hybrid)<\/p>\n
ISITIA 2024, Mataram, Indonesia<\/p>\n
ISITIA 2024, Mataram, Indonesia<\/p>\n<\/li>\n<\/ul>\n
\n\n
Javanese Batik Image Classification using Self-Organizing Map<\/em>
ICCoSITE 2023, Jakarta, Indonesia<\/li>\n<\/ul>\n
\n\n
Iris Grid Image Classification using Na\u00efve Bayes for Human Biometric System<\/em>
ICISIT 2022, Yogyakarta, Indonesia (Virtual Conference)<\/p>\n
ICISIT 2022, Yogyakarta, Indonesia (Virtual Conference)<\/p>\n<\/li>\n<\/ul>\n
\n\n
EEG Data Analytics to Distinguish Happy and Sad Emotions Based on Statistical Features<\/em>
ISRITI 2021, Yogyakarta, Indonesia (Virtual Conference)<\/p>\n
EECSI 2021, Semarang, Indonesia<\/p>\n
International Conference on Smart and Innovative Agriculture 2021<\/p>\n
ICoDSA 2021, Bandung, Indonesia<\/p>\n
IES 2021, Surabaya, Indonesia<\/p>\n
IES 2021, Surabaya, Indonesia<\/p>\n<\/li>\n<\/ul>\n
\n\n
Classification of P-wave Morphology Using Local Distance Transform and Random Forests<\/em>
ICST 2020 (UGM, Virtual Conference)<\/p>\n
ICST 2020 (UGM, Virtual Conference)<\/p>\n
ECCIS 2020, Universitas Brawijaya, Malang<\/p>\n
ECCIS 2020, Universitas Brawijaya, Malang<\/p>\n
iSITIA 2020, ITS (Online)<\/p>\n
iSITIA 2020, ITS (Online)<\/p>\n
iSITIA 2020, ITS (Online)<\/p>\n
ICoSTA 2020, Hotel Mercure Surabaya<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n
\n
Development of a Rule-Based Drug Interaction Detection System Using Electronic Medical Records Data<\/em>
Funding: Faculty of Medicine and Health<\/li>\n<\/ul>\n
\n\n
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<\/em>
Funding: Faculty of Medicine and Health<\/p>\n
Funding: Faculty of Medicine and Health<\/p>\n<\/li>\n<\/ul>\n
\n\n
Gender-Based Emotion Pattern Recognition Using EEG Signal Processing<\/em>
Funding: Joint Research with NTUST<\/li>\n<\/ul>\n
\n\n
Development of an EEG-Based Neuromarketing Platform<\/em>
Funding: ITS Flagship Program<\/p>\n
Funding: International Research Collaboration (NTUST)<\/p>\n
Funding: Industry Collaboration<\/p>\n<\/li>\n<\/ul>\n
\n\n
Development of a Big Data Analytics Framework Based on Text Mining for Healthcare Service Data to Support National Competitiveness<\/em>
Funding: DIKTI (Multi-year, 3 years)<\/p>\n
Funding: DRPM ITS<\/p>\n
Funding: DRPM ITS<\/p>\n
Funding: DRPM ITS<\/p>\n
Funding: DRPM ITS<\/p>\n<\/li>\n<\/ul>\n
\n\n
Development of \u201cSi Ninja\u201d: Organizational and Executive Performance Monitoring System at ITS for Program Management and Control Based on Business Intelligence<\/em>
Funding: ITS<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n
Development of a Prototype Medication Pillbox<\/em>
Funding: Faculty of Medicine and Health, ITS<\/li>\n<\/ul>\n
\n\n
Introduction to Medical Technology at Senior High School (SMAN Probolinggo)<\/em>
Funding: Faculty of Medicine and Health, ITS<\/li>\n<\/ul>\n
\n\n
Webinar on Medical Technology<\/em>
Funding: Faculty of Medicine and Health, ITS<\/p>\n
Funding: Directorate of Global Partnerships (DKG), ITS<\/p>\n<\/li>\n<\/ul>\n
\n\n
Trainer in National Seminar: \u201cImplementation of Artificial Intelligence for Big Data\u201d<\/em>
Funding: Community Service Program (Abmas), ITS<\/li>\n<\/ul>\n
\n\n
Member of ITS Central COVID-19 Task Force Team<\/em>
Funding: Community Service Program (Abmas), ITS<\/li>\n<\/ul>\n\n
E-Health: A Technological Revolution Transforming the Healthcare Sector (E-HEALTH: Revolusi Teknologi Yang Mengubah Dunia Kesehatan)<\/em>
Publisher: ITS Tekno
Total Pages: 280<\/li>\n
Preparing a Research Plan for Graduate Students (Menyiapkan Rencana Riset bagi Mahasiswa Program Pascasarjana)<\/em>
Publisher: ITS Tekno
Total Pages: 170<\/li>\n
Understanding Artificial Intelligence and Its Applications (Memahami AI dan Penerapannya)<\/em>
Publisher: ITS Tekno
Total Pages: 172<\/li>\n<\/ul>\n