Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)

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Tourist Attraction Classification for Supporting Thoughtful Indonesia Program Using Siamese Neural Networks

Authors
Tita Karlita1, *, Feri Afrianto1, Nana Ramadijanti1, Achmad Basuki1, Ulima Inas Shabrina1, Andro Aprila Adiputra1, Muhammad Dzalhaqi1
1Department of Informatics and Computer Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia
*Corresponding author. Email: tita@pens.ac.id
Corresponding Author
Tita Karlita
Available Online 30 December 2022.
DOI
10.2991/978-2-494069-83-1_112How to use a DOI?
Keywords
deep learning; siamese neural network; tourist attraction
Abstract

Tourist attractions both on a local scale in Indonesia and on an international scale are very numerous. Nowadays, more and more information on tourist attractions is represented as images rather than text. Tourists are interested in the specific tourist attraction shown in the picture, do not know the attraction’s name, and cannot do a text search to get more information about the attraction in question. Convolutional neural networks (CNNs) perform well on large data sets of images. However, due to the diversity of tourist attractions in Indonesia, not all tourist attractions in Indonesia have a large sample image. So, this paper will discuss adopting one-shot learning with the Siamese network to solve the problem of the availability of a small sample of tourist data. Siamese networks are a type of twin network with two or more identical subnets. The settings and weights are the same for all subnets. The parameters of the Siamese network are modified by operating together in all its subnets. In addition, the Siamese network can learn well even with limited input. This study resulted in an image classification of 102 tourist attractions in Indonesia. With each class, five samples resulted in a validation accuracy of 93%.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
30 December 2022
ISBN
10.2991/978-2-494069-83-1_112
ISSN
2352-5398
DOI
10.2991/978-2-494069-83-1_112How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tita Karlita
AU  - Feri Afrianto
AU  - Nana Ramadijanti
AU  - Achmad Basuki
AU  - Ulima Inas Shabrina
AU  - Andro Aprila Adiputra
AU  - Muhammad Dzalhaqi
PY  - 2022
DA  - 2022/12/30
TI  - Tourist Attraction Classification for Supporting Thoughtful Indonesia Program Using Siamese Neural Networks
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)
PB  - Atlantis Press
SP  - 645
EP  - 650
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-83-1_112
DO  - 10.2991/978-2-494069-83-1_112
ID  - Karlita2022
ER  -