Catur Supriyanto
Magister
86 Papers
105 Citations
Catur Supriyanto is an academic researcher from Magister. The author has contributed to research in topics: Computer science & Naive Bayes classifier. The author has an hindex of 7, co-authored 47 publications.
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Papers
Multi color feature, background subtraction and time frame selection for fire detection
Guruh Fajar Shidik,Fajrian Nur Adnan,Catur Supriyanto,Ricardus Anggi Pramunendar,Pulung Nurtantio Andono +4 more
- 01 Nov 2013
TL;DR: In this article, the authors proposed a fire detection method, to detect the possibility of fire based on visual sensor using multi-color feature such as color, saturation, luminance, background subtraction and time frame selection.
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A classification method of coconut wood quality based on Gray Level Co-occurrence matrices
Ricardus Anggi Pramunendar,Catur Supriyanto,Dwi Hermawan Novianto,Ignatius Ngesti Yuwono,Guruh Fajar Shidik,Pulung Nurtantio Andono +5 more
- 01 Nov 2013
TL;DR: The Gray-Level Co-occurrence Matrix (GLCM) is used to extract the texture features of coconut wood images and AutoMLP gives the best accuracy rate, which is slightly better than SVM.
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Classification of Twitter Contents using Chi-Square and K-Nearest Neighbour Algorithm
Yunita Dwi Setiyaningrum,Annisa Fitrianingtiyas Herdajanti,Catur Supriyanto,Muljono +3 more
- 01 Sep 2019
TL;DR: This study concluded that, the KNN algorithm with feature selection (chi-square) obtained the results of accuracy seen from the value of the nearest neighbor distance K = 3 obtained the same results with an accuracy value of 65.00%, which states that both methods withfeature selection and without selection the feature in the dataset turns out that the method with featureselection has the advantage of being more efficient in the calculation process.
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Auto Level Color Correction for Underwater Image Matching Optimization
Ricardus Anggi Pramunendar,Guruh Fajar Shidik,Catur Supriyanto,Pulung Nurtantio Andono,Mochamad Hariadi +4 more
- 17 Dec 2014
TL;DR: HSV conversion image with auto level color correction is proposed to increase the number of SIFT image matching to solve the problem of absorption of the light by sea water and light scattering by small particles of underwater environment.
Design of Prepaid Energy Meter based on PROTEUS
Heribertus Himawan,Catur Supriyanto,Adrin Thamrin +2 more
- 01 Oct 2015
TL;DR: In this article, a prepaid energy meter is proposed and simulated by using PROTEUS software, the system was designed by using ATmega128 as a microcontroller and evaluated the accuracy of voltage and current measurement that produced by the model.
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