Adhi H. Saputro, Ph.D.

Brief Profile

Selected Publications

  1. R. M. Putra, A. H. Saputro, L. Arazak, and S. Kharisma, Automatic detection of volcanic ash from Himawari-8 satellite using artificial neural network, AIP Conference Proceedings 2202, 020112 (2019)
  2. A. H. Saputro and I. S. Putro, Measurement system based on visible near infrared imaging for predicting honey electrical conductivity, AIP Conference Proceedings 2193, 050018 (2019)
  3. N. Praditya and A. H. Saputro, Hyperspectral Band Selection based on Decision Tree Algorithm in Beeswax Identification on Rome Beauty Apple, 2019 2nd International Seminar on Research of Information Technology and Intelligent Systems 9034605, 430-433 (2019)
  4. R. Sugiarto, A. H. Saputro, and W. Handayani, Study on Venation Visualization System Using Hyperspectral Images and Multi-Layer Perceptron Classifier, 2019 2nd International Seminar on Research of Information Technology and Intelligent Systems 9034557, 478-482 (2019)
  5. L. Yunita, A. H. Saputro, and B. Kiswanjaya, Smoker’s Melanosis Tongue Identification System using the Spatial and Spectral Characteristic Combinations Tongue in the Visible and Near-Infrared Range, 2019 2nd International Seminar on Research of Information Technology and Intelligent Systems 9034587, 30-33 (2019)
  6. R. Yunilawati, Yemirta, A. A. Cahyaningtyas, and A. H. Saputro, Co-pigmentation of purple sweet potatos (ipomoea batatas l) anthocyanin extract using green tea extract, Journal of Physics: Conference Series 1317, 012105 (2019)
  7. R. Aminah and A. H. Saputro, Application of machine learning techniques for diagnosis of diabetes based on iridology, 2019 International Conference on Advanced Computer Science and Information Systems 8979755, 133-138 (2019)
  8. R. R. Utami and A. H. Saputro, Hyperspectral analysis for detection of sea cucumber habitat (holothuria scabra) based on support vector machine, 2019 International Conference on Advanced Computer Science and Information Systems 8979955, 187-192 (2019)
  9. R. D. Putri and A. H. Saputro, Firmness prediction system of waxed malang apples using hyperspectral imaging, 2019 International Conference on Advanced Computer Science and Information Systems 8979817, 151-156 (2019)
  10. M. Ihsan, A. H. Saputro, and W. Handayani, Hyperspectral Imaging Feature Selection Using Regression Tree Algorithm: Prediction of Carotenoid Content Velvet Apple Leaf, 3rd International Conference on Informatics and Computational Sciences: Accelerating Informatics and Computational Research for Smarter Society in The Era of Industry 4.0 8982490 (2019)
  11. F. P. Mayranti, A. H. Saputro, and W. Handayani, Chlorophyll A and B Content Measurement System of Velvet Apple Leaf in Hyperspectral Imaging, 3rd International Conference on Informatics and Computational Sciences: Accelerating Informatics and Computational Research for Smarter Society in The Era of Industry 4.0 8982485 (2019)
  12. M. Ihsan, A. H. Saputro, and W. Handayani, Flavonoid distribution mapping system of velvet apple leaf based on hyperspectral imaging, 2019 International Conference on Advanced Computer Science and Information Systems 8979775, 157-162 (2019)
  13. F. P. Mayranti, A. H. Saputro, and W. Handayani, Wavelength selection of persimmon leafusing decision tree method in visible near-infrared imaging, 2019 International Conference on Advanced Computer Science and Information Systems 8979998, 113-118 (2019)
  14. A. H. Saputro and C. Aprichilia, Classification System of Honey Floral Origin based on Visual Near-Infrared Imaging, Proceedings of 2019 4th International Conference on Sustainable Information Engineering and Technology 8986024, 125-129 (2019)
  15. R. D. Putri and A. H. Saputro, Analysis of the effect of the wax coating on firmness prediction model in malang apples based on visible and near-infrared (VNIR) imaging, 2019 6th International Conference on Information Technology, Computer and Electrical Engineering 8904139 (2019)
  16. R. Putri and A. H. Saputro, Implementation of neural network classification for diabetes mellitus prediction system through iridology image, 2019 6th International Conference on Information Technology, Computer and Electrical Engineering 8904182 (2019)
  17. R. Aminah and A. H. Saputro, Diabetes prediction system based on iridology using machine learning, 2019 6th International Conference on Information Technology, Computer and Electrical Engineering 8904125 (2019)
  18. R. Putri and A. H. Saputro, Prediction Instrument of Diabetes Mellitus based on Iridology Image and Artificial Neural Network: Initial Findings, 2019 IEEE 6th International Conference on Smart Instrumentation, Measurement and Application 9057311 (2019)
  19. Sabar, A. H. Saputro, and C. Imawan, Salt Content Prediction System of Dried Sea Cucumber (Beche-de-mer) Based on Visual Near-Infrared Imaging, 2019 4th Asia-Pacific Conference on Intelligent Robot Systems 8935953, 245-249 (2019)
  20. Sabar, A. H. Saputro, and C. Imawan, Moisture Content Prediction System of Dried Sea Cucumber (Beche-de-mer) Based on Visual Near-Infrared Imaging, Proceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation 8916705, 167-171 (2019)
  21. W. Ardiatna, A. H. Saputro, and D. S. Soejoko, Analysis of Kidney Ultrasound Images Characterization Using Statistical Moment Descriptor, 2018 International Conference on Computer, Control, Informatics and its Applications: Recent Challenges in Machine Learning for Computing Applications 8629517, 17-22 (2019)
  22. Kustiyo, Rochmatuloh, A. H. Saputro, and D. Kushardono, Developing the temporal composite of Sentinel-1 SAR data to identify paddy field area in Subang, West Java, Proceedings of SPIE – The International Society for Optical Engineering 11372, 113720H (2019)
  23. M.A. Zulkifley, A. Nazari, S. Khadijah, A.H. Saputro, On application of gaussian kernel to retinal blood tracingJournal of Theoretical and Applied Information Technology, 77(1), 19-24 (2015).
  24. A.H. Saputro, M.M. Mustafa, A. Hussain, W. Mimi Diyana W. Zaki, O. Maskon, I.F. Mohd Nor, Global feature for left ventricular dysfunction detection based on shape deformation trackingBiomedical Engineering – Applications, Basis and Communications 27(2),1550017 (2015).
  25. Saputro, A.H., Mustafa, M.M., Hussain, A., Maskon, O., Mohd Nor, I.F., Shape deformation descriptor using Fourier analysis, Proceedings of the International Joint Conference on Neural Networks (2012).
  26. Saputro, A.H., Mustafa, M.M., Hussain, A., Maskon, O., Mohd Nor, I.F. Precise global shape analysis for left ventricle function assessment, Proceedings – 3rd International Conference on Intelligent Systems Modelling and Simulation, ISMS 2012, 343-347 (2012)
  27. Saputro, A.H., Mustafa, M.M., Hussain, A., Maskon, O., Nor, I.F.M., Enhancement of myocardial boundary tracking using wavelet-based motion estimation, Journal of Information and Computational Science 8 (10), 1779-1792 (2011).
  28. Saputro, A.H., Mustafa, M.M., Hussain, A., Maskon, O., Noh, I.F.M., Motion estimation along the myocardial boundary using boundary extraction and optical flow, World Congress on Engineering 2010, pp. 677-680.
  29. Saputro, A.H., Mustafa, M.M., Hussain, A., Maskon, O., Nor, I.F.M., Myocardial motion analysis using optical flow and wavelet decomposition, Proceedings – CSPA 2010: 2010 6th International Colloquium on Signal Processing and Its Applications (2010)

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