Kanisius Wongso, Kanisius
Jurusan Teknik Informatika, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Jl. K.H. Syahdan No. 9, Kemanggisan/Palmerah, Jakarta Barat 11480

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IMPLEMENTASI METODE BACKPROPAGATION DALAM KLASTERISASI OBJEK Santika, Diaz D; Susanti, Betsy; Anderson, Willy; Wongso, Kanisius
CommIT (Communication and Information Technology) Journal Vol 1, No 1 (2007): CommIT Vol. 1 No. 1 Tahun 2007
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v1i1.465

Abstract

Aim of the research was to prove that backpropagation method could be implemented for image recognitionwhile doing object classification. Observational method done was to do library research by reading and searching forinformation from various sources, then conduct analysis upon data, and last, design the application from analysisresults. From the evaluation that has been done, the result for accuration and speed are high enough (above 95%). Afteranalyzing evaluation result, it is concluded that backpropagation method could be implemented for object classification.