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Journal : JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)

PENCARIAN OBJEK WISATA BERSEJARAH DI PULAU JAWA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Nadia Ramadhani; Janson Hendryli; Dyah Erny Herwindiati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.061 KB) | DOI: 10.24912/jiksi.v7i1.5924

Abstract

In order to make a image-based search for historical sites in Java, Convolutional Neural Network is used. Not only to make a website which can search historycal sites in Java using image, it also compared two CNN structure. There are two architechture which is used in this paper which is Residual Network and Inception. There are some experiments that were done to establish the best architecture among the two for this aplication. Those experiments showed that inception gave a better result for the application