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I KETUT EDDY PURNAMA

Institut Teknologi Sepuluh Nopember S1 - Teknik Komputer SINTA ID : 5975641
5.799
SINTA Score Overall
760
SINTA Score 3Yr
5.799
Affil Score
760
Affil Score 3Yr
Latest number of Publication and Citations
A Digital Microscopy System and New Sputum Dataset for Deep Learning-based Tuberculosis Detection
Authors : SA Wulandari, FA Muqtadiroh, EM Yuniarno, IKE Purnama, MH Purnomo International Journal of Intelligent Engineering and Systems 19 (3), 443-454, 2026
2026 0 cited
KECERDASAN BUATAN DAN DIAGNOSIS RADIOGRAFI COVID-19
Authors : AD Sensusiati, IKE Purnama, RT Wahyuningrum, AN Rosyid, ... Airlangga University Press, 2026
2026 0 cited
A Digital Microscopy System and New Sputum Dataset for Deep Learning-based Tuberculosis Detection.
Authors : SA Wulandari, FA Muqtadiroh, EM Yuniarno, IKE Purnama, MH Purnomo International Journal of Intelligent Engineering & Systems 19 (3), 443, 2026
2026 0 cited
A Hybrid Computing Framework For LLM-based Human-robot Interaction: Generating Action Plans for Robotic Arms.
Authors : I Purnama, AP Perkasa, C Fatichah, MH Purnomo International Journal of Intelligent Engineering & Systems 19 (5), 1035, 2026
2026 0 cited
RCA U-Net with Dynamic Loss Weighting for Automated Crack Segmentation in Structural Health Monitoring
Authors : A Prasetyo, IKE Purnama, EM Yuniarno, P Suprobo, A Kurniawan 2026 International Conference on Artificial Intelligence in Information and …, 2026
2026 0 cited
Curvature Entropy Enhanced Principal Component Analysis for 3D LiDAR Human Head Segmentation
Authors : IKE Purnama, NE Budiyanta, HA Sidharta, MH Purnomo Engineering, Technology & Applied Science Research 16 (2), 34417-34422, 2026
2026 0 cited
Comparative Evaluation of Loss Function for 3D Brain Vessel Segmentation in MRA Using U-NET
Authors : DH Sulistyawati, A Prasetyo, E Furaidah, MH Purnomo, IKE Purnama IEEE Access, 2026
2026 0 cited
Automated breast cancer cell counting: comparing multi-class segmentation and two-stage classification strategies
Authors : DH Arjuna, E Kurniawan, RF Rachmadi, IKE Purnama Kinetik: Game Technology, Information System, Computer Network, Computing …, 2026
2026 0 cited
Hybrid Residual UNet with Triplet Embedded Metric Learning for Low Light Tuberculosis Bacilli Segmentation
Authors : SA Wulandari, IKE Purnama, EM Yuniarno, MH Purnomo Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI 15 (1), 2026
2026 0 cited
MyoScarNet-RA: A Residual Attention Network for Myocardial Surface Area Quantification based on Scar Segmentation
Authors : B Setiadi, EM Yuniarno, IKE Purnama, M Aritsugi, MH Purnomo IEEE Access, 2026
2026 0 cited
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Summary

Article Quartile
Research Output
  Scopus GScholar WOS
Article 207 415 0
Citation 1449 2818 0
Cited Document 178 293 0
H-Index 19 25
i10-Index 41 85
G-Index 3 1
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