
The Head of AI and Digital Technology Study Center, ITS
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.
Medical Technology Study Program, Faculty of Medicine and Health, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Doctoral Degree
University of Groningen, Netherlands
Field: Biomedical Engineering
Year: 2009 – 2014
Institut Teknologi Sepuluh Nopember (ITS)
Field: Electrical Engineering
Year: 2004 – 2006
Institut Teknologi Sepuluh Nopember (ITS)
Field: Electrical Engineering
Year: 1994 – 2000
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
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
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
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
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