Karisma Trinanda Putra
Assistant Professor
Karisma Trinanda Putra has graduated with Bachelor degree and Master degree from Electrical Engineering Polytechnic Institute of Surabaya (2012) and Sepuluh Nopember Institute of Technology (2015), respectively. He has received his Doctoral degree from Asia University, Taiwan, in January 2022. He is currently an Assistant Professor in Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, Indonesia. He is also a member of The Institution of Engineers Indonesia.
Research Topics
Artificial Intelligence
Machine and Deep Learning
Image processing
Sensor Networks
Compressed Sensing
Internet of Things
Data Mining
Big Data Analysis
Research Project
Design of Automatic Sorting System for Mangosteen Fruit Using Image Processing (UMY, 2018).
Spatiotemporal Data Compression Approach to Develop Massive IoT-based Air Quality Monitoring System (UMY – MOST Taiwan, 2019).
Monitoring and Prediction System to Explore PM2.5 Pollution Propagation Based on Convolutional Recursive Neural Networks (UMY – MOST Taiwan, 2020).
Air Pollution Sensing Using a Collaborative Deep Learning Predictive Model and Its Long-Term Impact on Public Health (UMY, 2021).
Interpreting AI Model Predictions Using XAI to Support the Development of Clinical Decision Support System (UMY, 2021).
Smart Intraoral Camera to Support Early Diagnosis of Oral Diseases Using Collaborative Deep Learning Model (Kedaireka – Dikti, 2022).
Publications
Journal
H.-C Chen, C. Damarjati, K. T. Putra, H.-M Chen, C.-L Hsieh, H.-J Lin, M.-Y Wu, C.-S Chen, “Pulse-Line Intersection Method with Unboxed Artificial Intelligence for Hesitant Pulse Wave Classification,” Information Processing and Management, Maret, 2022. doi: 10.1016/j.ipm.2021.102855. https://www.sciencedirect.com/science/article/pii/S0306457321003265 (Q1, IF 6.222).
H.-C. Chen, K. T. Putra, S.-S. Tseng, C.-L. Chen, and J. C.-W. Lin, “A spatiotemporal data compression approach with low transmission cost and high data fidelity for an air quality monitoring system,” Future Generation Computer Systems, vol. 108, pp. 488–500, Jul. 2020. doi: 10.1016/j.future.2020.02.032. https://www.sciencedirect.com/science/article/pii/S0167739X19324197 (Q1, IF 6.125).
H.-C. Chen, B. Irawan, P.-Y. Hsu, J.-S. Su, C.-W. Lin, Prayitno, K.T. Putra, C. Damarjati, C.-E. Weng, Y.-H. Liang, P.-H. Chang, “An Implementation of Trust Chain Framework with Hierarchical Content Identifier Mechanism by Using Blockchain Technology,” Sensors, vol. 22, no. 13. MDPI AG, p. 4831, Jun. 26, 2022. doi: 10.3390/s22134831. https://www.mdpi.com/1424-8220/22/13/4831 (Q1, IF 3.576).
K. T. Putra, H.-C Chen, Prayitno, M. R. Ogiela, C.-L Chou, C.-E Weng, Z.-Y Shae, Federated Compressed Learning Edge Computing Framework with Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications. Sensors 2021, 21, 4586. doi: 10.3390/s21134586 https://www.mdpi.com/1424-8220/21/13/4586 (Q1, IF 3.576).
V. Widyasari, K. T. Putra, and J.-Y. Wang, “Community Curiosity on COVID-19 Based on Google Trends in Indonesia: An Infodemic Study,” Journal of Consumer Health on the Internet, vol. 26, no. 1. Informa UK Limited, pp. 48–63, Jan. 02, 2022. doi: 10.1080/15398285.2021.2015744. https://www.tandfonline.com/doi/full/10.1080/15398285.2021.2015744 (Q4, IF 0.389).
H.-C. Chen, E. Prasetyo, S.-S. Tseng, K.T. Putra, Prayitno, S.S. Kusumawardani, C.-E. Weng, “Week-Wise Student Performance Early Prediction in Virtual Learning Environment Using a Deep Explainable Artificial Intelligence,” Applied Sciences, vol. 12, no. 4. MDPI AG, p. 1885, Feb. 11, 2022. doi: 10.3390/app12041885. https://www.mdpi.com/2076-3417/12/4/1885 (Q2, IF 2.679).
C. R. Shyu, K. T. Putra, H. C. Chen, Y. Y. Tsai, K. S. M. Hossain, W. Jiang, Z. Y. Shae, “A Systematic Review of Federated Learning in the Healthcare Area: From the Perspective of Data Properties and Applications,” Applied Sciences, vol. 11, no. 23. MDPI AG, p. 11191, Nov. 25, 2021. doi: 10.3390/app112311191. https://www.mdpi.com/2076-3417/11/23/11191 (Q2, IF 2.679).
H.-C Chen, K. T. Putra, J. C.-W Lin, "A Novel Predictor for Exploring PM2.5 Spatiotemporal Propagation by Using Convolutional Recursive Neural Networks," Journal of Internet Technology, vol. 23, no. 1, pp. 165-176, Jan. 2022. doi: 10.53106/160792642022012301017. https://jit.ndhu.edu.tw/article/view/2654 (Q3, IF 1.005).
K. T. Putra, J.-D. Wang, E. Prasetyo, Prayitno, “Modeling Traffic Congestion with Spatiotemporal Big Data for An Intelligent Freeway Monitoring System,” Test Engineering and Management, Mar-Apr. 2020, pp. 6422-6429. https://testmagzine.biz/index.php/testmagzine/article/view/4685/3928 (Q4, IF 0.341).
Iswanto, S. Suripto, F. Mujahid, K. T. Putra, N. P. Apriyanto, Y. Apriani, “Energy Harvesting on Footsteps Using Piezoelectric based on Circuit LCT3588 and Boost up Converter,” International Journal of Electrical and Computer Engineering (IJECE), vol. 8, no. 6. Institute of Advanced Engineering and Science, Dec. 01, 2018. doi: 10.11591/ijece.v8i6 http://ijece.iaescore.com/index.php/IJECE/article/view/9782/11144 (Q4, IF 0.420).
C. Damarjati, K.T. Putra, H. Wijayanto, H.-C. Chen, T.A. Nugraha, "Tree-based Filtering in Pulse-Line Intersection Method Outputs for An Outlier-tolerant Data Processing," Int. J. Inform. Visualization, vol. 6, no. 1, pp. 90-95, Mar. 2022. http://www.joiv.org/index.php/joiv/article/view/861 (Q, no IF).
Conference
K. T. Putra, Prayitno, E. F. Cahyadi, A. S. Mamonto, S. S. Berutu and S. Muharom, "Forecasting Air Quality Using Massive-Scale WSN Based on Convolutional LSTM Network," 2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021, pp. 1-6.
K. T. Putra, R. O. Wiyagi and M. Y. Mustar, "Precision Landing System on H-Octocopter Drone Using Complementary Filter," 2018 International Conference on Audio, Language and Image Processing (ICALIP), 2018, pp. 283-287.
T. K. Hariadi, H. Zidni, K. T. Putra and S. Riyadi, "High Accuracy Real Time Machine Vision for Diameter Measurement Using Simpson Algorithm," 2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018, pp. 625-629.
K. T. Putra, T. K. Hariadi, S. Riyadi and A. N. N. Chamim, "Feature Extraction for Quality Modeling of Malang Oranges on an Automatic Fruit Sorting System," 2018 2nd International Conference on Imaging, Signal Processing and Communication (ICISPC), 2018, pp. 74-78.
K. T. Putra, D. Purwanto and R. Mardiyanto, "Indonesian natural voice command for robotic applications," 2015 International Conference on Electrical Engineering and Informatics (ICEEI), 2015, pp. 638-643.
Experience
Research Assistant at ITS, 2013 – 2014.
Research Assistant at Asia University, 2018 – 2021.
Journal Editor in JET-UMY, JRC, Medika Teknika, and EIST.
Reviewer in International Conference ICOSI 2019, IC- COSITE 2021, ICSGRC 2021, FUTURE-ICT 2022, ICITAMEE 2022, and ICE3IS2022.
Director, LIKKI-PCIM Taiwan, 2021 – 2022.
Head, Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, 2022 - now.
Contact
e-mail : karisma@ft.umy.ac.id
Mobile(WA) : +62 851 3247 6896
Address : Universitas Muhammadiyah Yogyakarta (UMY) Kampus Terpadu, Brawijaya St., 55183, (0274) 387656