Implementation of Backpropagation for Ulap-ulap Pattern Recognition

  • Ni Luh Yulia Alami Dewi Universitas Udayana
  • I Wayan Santiyasa


Ulap-ulap is one of the symbols used to indicate that a building has been carried out Mlaspas ceremony. Mlaspas is one of the ceremonies performed to purify and clean a building. Ulap-ulap itself consists of various types depending on the building where it is placed, for example the ulap-ulap placed on the Pelinggih building will be different from the ulap-ulap placed on the Bale building. So that the pattern contained in each type of Ulap-ulap is different. The purpose of this research is to be able to do pattern recognition on Ulap-ulap images. The method used in this study is Backpropagation, and for its implementation, the MATLAB 7.5.0 (R2007b) application is used. This study used 18 images of Ulap-ulap, including 15 training data and 6 test data. The stages of the process carried out are for Ulap-ulap pattern recognition, the first is data collection, then image processing, and finally the pattern recognition. Recognition of the Ulap-ulap image pattern with Backpropagation, resulted in an accuracy of 83.333%.


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How to Cite
DEWI, Ni Luh Yulia Alami; SANTIYASA, I Wayan. Implementation of Backpropagation for Ulap-ulap Pattern Recognition. JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 9, n. 3, p. 405-410, feb. 2021. ISSN 2654-5101. Available at: <>. Date accessed: 22 mar. 2023. doi:

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