KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 9 No. 4 (2023): Kalbisiana

Pengembangan Aplikasi Pembelajaran Mesin untuk Identifikasi Kemiripan Lukisan

Yogie Eka Pratama (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
11 Dec 2023

Abstract

This study has one goal, namely to be able to identify the similarity of paintings through painting imagery and from the image of the painting that has been input will show which artist's work is supposedly similar to the image that has been input. The algorithm used is a Convolutional Neural Network (CNN). This study used painting imagery data from Kaggle in the form of a folder. The image data used was 4299 which was divided into training data and testing data with a total of 3444 data from 11 classes and as testing data as many as 855 from 11 classes. The framework used in this study is ResNet-50 and the Convolutional Neural Network which is applied is Tensorflow Keras. From the results of the study, it has produced an accuracy value of 24% with an average probability of up to about 80% and above.

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Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...