IMPLEMENTASI METODE BACKPROPAGATION DALAM KLASTERISASI OBJEK

Authors

  • Diaz D Santika Jurusan Teknik Informatika, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Jl. K.H. Syahdan No. 9, Kemanggisan/Palmerah, Jakarta Barat 11480
  • Betsy Susanti Jurusan Teknik Informatika, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Jl. K.H. Syahdan No. 9, Kemanggisan/Palmerah, Jakarta Barat 11480
  • Willy Anderson Jurusan Teknik Informatika, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Jl. K.H. Syahdan No. 9, Kemanggisan/Palmerah, Jakarta Barat 11480
  • Kanisius Wongso Jurusan Teknik Informatika, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Jl. K.H. Syahdan No. 9, Kemanggisan/Palmerah, Jakarta Barat 11480

DOI:

https://doi.org/10.21512/commit.v1i1.465

Abstract

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

Plum Analytics

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Published

2007-05-31

Issue

Vol. 1 No. 1 (2007): CommIT Journal

Section

Articles

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