Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra

Samarinda sarong is one of the cultural treasures in the form of cloth from Samarinda, East Kalimantan. It has a characteristic in the form of a square motif with a unique color combination. However, several people do not know the difference between a Samarinda sarong and a non-Samarinda sarong beca...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Anindita Septiarini, Rizqi Saputra, Andi Tejawati, Masna Wati
Formato:	article
Lenguaje:	ID
Publicado:	Ikatan Ahli Indormatika Indonesia 2021
Materias:	samarinda sarong, color moments, glcm, feature extraction, naive bayes, classification Systems engineering TA168 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/b65b3a724a384cb38018bf1cb431f29c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b65b3a724a384cb38018bf1cb431f29c
record_format	dspace
spelling	oai:doaj.org-article:b65b3a724a384cb38018bf1cb431f29c2021-11-16T13:16:11ZDeteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra2580-076010.29207/resti.v5i5.3435https://doaj.org/article/b65b3a724a384cb38018bf1cb431f29c2021-10-01T00:00:00Zhttp://jurnal.iaii.or.id/index.php/RESTI/article/view/3435https://doaj.org/toc/2580-0760Samarinda sarong is one of the cultural treasures in the form of cloth from Samarinda, East Kalimantan. It has a characteristic in the form of a square motif with a unique color combination. However, several people do not know the difference between a Samarinda sarong and a non-Samarinda sarong because the Samarinda sarongs may have a similar motif or color to a non-Samarinda sarong. This study aims to develop a Samarinda sarong detection method to distinguish between the sarong of Samarinda and non-Samarinda. The detection of the Samarinda sarong was carried out based on two features: color and texture. The feature extraction of color was applied using color moments and Gray Level Co-Occurrence Matrix (GLCM) for texture. The classification was implemented using the Naive Bayes method. The dataset used consists of 250 sarong images (150 Samarinda sarong images and 100 Non-Samarinda sarong images) divided into training and test data. It was divided using percentage split and cross-validation. The test results show the implementation of the color moments, GLCM, and Naive Bayes methods using a percentage split (70%) produce the best accuracy of 0.987 compared to using cross-validation (K=10) with an accuracy of 0.984. The difference may occur because the number of training and testing data used on percentage split and cross-validation is different. Moreover, the sarong images used on training and test data were chosen randomly.Anindita SeptiariniRizqi SaputraAndi TejawatiMasna WatiIkatan Ahli Indormatika Indonesiaarticlesamarinda sarong, color moments, glcm, feature extraction, naive bayes, classificationSystems engineeringTA168Information technologyT58.5-58.64IDJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 5, Iss 5, Pp 927-935 (2021)
institution	DOAJ
collection	DOAJ
language	ID
topic	samarinda sarong, color moments, glcm, feature extraction, naive bayes, classification Systems engineering TA168 Information technology T58.5-58.64
spellingShingle	samarinda sarong, color moments, glcm, feature extraction, naive bayes, classification Systems engineering TA168 Information technology T58.5-58.64 Anindita Septiarini Rizqi Saputra Andi Tejawati Masna Wati Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra
description	Samarinda sarong is one of the cultural treasures in the form of cloth from Samarinda, East Kalimantan. It has a characteristic in the form of a square motif with a unique color combination. However, several people do not know the difference between a Samarinda sarong and a non-Samarinda sarong because the Samarinda sarongs may have a similar motif or color to a non-Samarinda sarong. This study aims to develop a Samarinda sarong detection method to distinguish between the sarong of Samarinda and non-Samarinda. The detection of the Samarinda sarong was carried out based on two features: color and texture. The feature extraction of color was applied using color moments and Gray Level Co-Occurrence Matrix (GLCM) for texture. The classification was implemented using the Naive Bayes method. The dataset used consists of 250 sarong images (150 Samarinda sarong images and 100 Non-Samarinda sarong images) divided into training and test data. It was divided using percentage split and cross-validation. The test results show the implementation of the color moments, GLCM, and Naive Bayes methods using a percentage split (70%) produce the best accuracy of 0.987 compared to using cross-validation (K=10) with an accuracy of 0.984. The difference may occur because the number of training and testing data used on percentage split and cross-validation is different. Moreover, the sarong images used on training and test data were chosen randomly.
format	article
author	Anindita Septiarini Rizqi Saputra Andi Tejawati Masna Wati
author_facet	Anindita Septiarini Rizqi Saputra Andi Tejawati Masna Wati
author_sort	Anindita Septiarini
title	Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra
title_short	Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra
title_full	Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra
title_fullStr	Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra
title_full_unstemmed	Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra
title_sort	deteksi sarung samarinda menggunakan metode naive bayes berbasis pengolahan citra
publisher	Ikatan Ahli Indormatika Indonesia
publishDate	2021
url	https://doaj.org/article/b65b3a724a384cb38018bf1cb431f29c
work_keys_str_mv	AT aninditaseptiarini deteksisarungsamarindamenggunakanmetodenaivebayesberbasispengolahancitra AT rizqisaputra deteksisarungsamarindamenggunakanmetodenaivebayesberbasispengolahancitra AT anditejawati deteksisarungsamarindamenggunakanmetodenaivebayesberbasispengolahancitra AT masnawati deteksisarungsamarindamenggunakanmetodenaivebayesberbasispengolahancitra
_version_	1718426500534894592

Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra

Ejemplares similares