Klasifikasi Rambu Lalu Lintas Menggunakan Ekstraksi Ciri Wavelet Dan Jarak Euclidean


  • Vincentius Abdi Gunawan Palangka Raya University
  • Ignatia Imelda Fitriani Palangka Raya University
  • Leonardus Sandy Ade Putra STMIK PALANGKARAYA




Traffics Sign, Image Processing, Haar Wavelet Extraction, Euclidean Distance


Driving is one of the human activities in which daily life is often done.  Driving can be done by land, air, and sea.  Human mobility in driving is very high on land routes using various means of transportation.  For the sake of smooth driving, roads are often equipped with traffic signs in each traffic area.  Traffic signs are a means for road users to provide information and guidance for motorists about the situation in the surrounding area.  The number of motorists who lack awareness of the knowledge of reading traffic signs is one of the biggest causes of accidents in Indonesia.  So that a system is needed that can help in recognizing traffic signs, especially prohibited signs.  The system designed using Haar Wavelet feature extraction and Euclidean distance as a classification.  From the data that has been tested, the level of recognition in reading traffic signs is prohibited by 92%.


Download data is not yet available.


K. POLRI, “Jumlah Kejadian Kecelakaan di Indonesia selama triwulan terakhir,” Http://Korlantas-Irsms.Info/, pp. 2–3, 2018.
T. Harsono, A. Basuki, and N. Ramadijanti, “PENGENALAN GAMBAR RAMBU-RAMBU LALU- ( Identification of Traffic Signs by Using Average Quantification Method ),” pp. 13–19.
J. Ismail, F. Marisa, and I. D. Wijaya, “Aplikasi Pengenalan Rambu Lalu Lintas Menggunakan Metode Fuzzy Mamdani Berbasis Android,” JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 1, no. 1, pp. 33–39, 2018.
Humas Polres Bantul, “Arti Dan Lambang Rambu Lalu Lintas,” pp. 1–11, 2014.
W. M. Rahmawati and F. Liantoni, “Penggunaan Arnold Cat Map Dan Beta Chaotic Map Pada Enkripsi Data Citra,” J. ELTIKOM, vol. 2, no. 2, pp. 50–57, 2018.
Leonardus Sandy Ade Putra and Vincentius Abdi Gunawan, “The Recognition Of Semaphore Letter Code Using Haar Wavelet And Euclidean Function,” in International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2018, no. 1.
Jullend Gatc, Vincentius Abdi Gunawan, and Febri Maspiyanti, “Chlorophyll-a Concentration Estimation for Seaweed Identification in Kupang Bay Using MODIS Aqua Data,” pp. 289–293, 2016.
Leonardus Sandy Ade Putra, R. Rizal Isnanto, Aris Triwiyatno, and Vincentius Abdi Gunawan, “Identification of Heart Disease With Iridology Using Backpropagation Neural Network,” in Borneo International Conference on Applied Mathematics and Engineering, 2018.
Leonardus Sandy Ade Putra, R. Rizal Isnanto, A. Triwiyatno, and Vincentius Abdi Gunawan, “Heart Disease Detection Using Iridology With Principal Component Analysis ( PCA ) And Backpropagation Neural Network,” Eng. Int. Conf., no. Cvd, 2018.
A. S. Abdul Kadir, “Teori dan Aplikasi Pengolahan Citra,” no. May, p. 640, 2013.
Leonardus Sandy Ade Putra, “THE INTRODUCTION OF CODE-LETTER,” 2017.




How to Cite

Abdi Gunawan, V., Imelda Fitriani, I., & Sandy Ade Putra, L. (2019). Klasifikasi Rambu Lalu Lintas Menggunakan Ekstraksi Ciri Wavelet Dan Jarak Euclidean. Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi Dan Komputer, 3(1), 26–35. https://doi.org/10.31961/eltikom.v3i1.105