Karisma Trinanda Putra
Assistant Professor
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Karisma Trinanda Putra received the B.Eng. degree from the Electronic Engineering Polytechnic Institute of Surabaya, Indonesia, in 2012, and the M.Eng. degree from the Sepuluh Nopember Institute of Technology (ITS), Indonesia, in 2015. He received the Ph.D. degree from Asia University, Taiwan, in January 2022. He is currently an Assistant Professor with the Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, Indonesia. He is also a member of the Institution of Engineers Indonesia (PII). In addition, he has served as a visiting lecturer at several universities worldwide, including National Cheng Kung University (NCKU), Asia University (AU), Universiti Malaysia Perlis (UniMAP), Universitas Airlangga (UNAIR), Universitas Andalas (UNAND), Universitas Islam Indonesia (UII), and Politeknik Negeri Semarang (POLINES).
Research Topics
Artificial Intelligence
Machine and Deep Learning
Image processing
Sensor Networks
Compressed Sensing
Internet of Things
Data Mining
Big Data Analysis
Research Project
CONACIS: A Corruption Prevention Model Through Public Policy and Islamic Education Based on Neuroscience Using Neuro–IoT Integration (RIKUB, 2025).
OCELLI: A Lightweight Deep Learning Framework for Agricultural Monitoring Systems (Kemenristekdikti, 2024).
Continuous Glucose Monitoring: A Non-Invasive Approach for Improved Daily Healthcare (UMY – PKKM, 2023).
Smart Intraoral Camera to Support Early Diagnosis of Oral Diseases Using Collaborative Deep Learning Model (Kedaireka – Dikti, 2022).
Interpreting AI Model Predictions Using XAI to Support the Development of Clinical Decision Support System (UMY, 2021).
Monitoring and Prediction System to Explore PM2.5 Pollution Propagation Based on CRNN (UMY – MOST Taiwan, 2020).
Reputable Publications
“GlucoNeo Check in the Community: Feasibility of Photoplethysmography-Based Non-Invasive Glucose Screening”, International Journal of Public Health, vol. 71, July 22, 2026. (Q1, IF 3.2).
“A Review on the Application of Internet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach”, IEEE Access, 2024. (Q1, IF 3.4).
“Pulse-Line Intersection Method with Unboxed Artificial Intelligence for Hesitant Pulse Wave Classification,” Information Processing and Management, 2022. (Q1, IF 6.222).
“A spatiotemporal data compression approach with low transmission cost and high data fidelity for an air quality monitoring system,” Future Generation Computer Systems, 2020. (Q1, IF 6.125).
"An Implementation of Trust Chain Framework with Hierarchical Content Identifier Mechanism by Using Blockchain Technology," Sensors, 2022. (Q1, IF 3.576).
“Federated Compressed Learning: Edge Computing Framework with Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications”, Sensors, 2021. (Q1, IF 3.576).
“Week-wise Student Performance Early Prediction in VLE Database Using a XAI,” Applied Sciences, 2022. (Q2, IF 2.679).
“A Systematic Review of Federated Learning in the Healthcare Area: From the Perspective of Data Properties and Applications,” Applied Sciences, 2021. (Q2, IF 2.679).
“Preference-Driven Medical Image Retrieval using a Dual-Head DenseNet-121 and Multi-Objective Skyline Query for COVID-19 Detection”, Jurnal RESTI, vol. 7, no. 3. June 16, 2026. (Q3, IF 0.22).
“YOLO-CE for Accurate Livestock Detection in Challenging Landfill Environments,” International Journal of Intelligent Engineering and Systems, vol. 18, no. 4. The Intelligent Networks and Systems Society, May 31, 2025. (Q3, IF 1.93).
“Internet of Things-Blockchain Framework for Sustainability and Reward-Based Metal Waste Sorting Management,” Ingénierie des Systèmes d'Information, vol. 30, no. 7, July 2025. (Q3, IF 1.74).
“Optimizing the Performance of AI Model for Non-Invasive Continuous Glucose Monitoring: Hyperparameter Tuning and Random Oversampling Approach,” Int. J. Inform. Visualization, 2024. (Q3, IF 1.2).
“A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks” Journal of Internet Technology. (Q3, IF 1.005).
“Energy Harvesting on Footsteps Using Piezoelectric based on Circuit LCT3588 and Boost up Converter,” International Journal of Electrical and Computer Engineering, 2018. (Q4, IF 0.420).
“COVID-19 Related Web Search Behavior: An Analytical Study of Google Trends-based Query Volumes in Indonesia,” Journal of Consumer Health on the Internet, 2021. (Q4, IF 0.389).
“Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System,” Test Engineering and Management, 2020. (Q4, IF 0.341).
"Tree-based Filtering in Pulse-Line Intersection Method Outputs for An Outlier-tolerant Data Processing," Int. J. Inform. Visualization, 2022. (Q4, IF 0.8).
Experience
Research Assistant at ITS, 2013 – 2014.
Research Assistant at Asia University, 2018 – 2021.
Journal Editor in JRC, JET-UMY, JRC, Medika Teknika, and EIST.
Journal Reviewer in IEEE Transaction on Wireless Communications and Nature Scientific Reports.
Director, LIKKI-PCIM Taiwan, 2021 – 2022.
Head, Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, 2022 – 2025, 2025 – 2029.
Co-Director, Center of Robotics and Artificial Intelligence Studies, Research and Innovation Center, UMY, 2022 – Now.
Chair, The 4th International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2024.
Invited Lecturer, NCKU, AU, UNIMAP, UNAIR, UNAND, UII and POLINES.
Contact
e-mail : karisma@ft.umy.ac.id
Address : Universitas Muhammadiyah Yogyakarta (UMY) Kampus Terpadu, Brawijaya St., 55183, (0274) 387656
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