KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 8 No. 1 (2022): Kalbisiana

Penerapan Metode Convolutional Neural Network untuk Klasifikasi Motif Tenun Ikat Manggarai, Nage-Keo, dan Ngada

Eno Maria Yohana Andriani (Institut Teknologi dan Bisnis Kalbis)
Yulia Ery Kurniawati (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
11 Jul 2022

Abstract

This study aims to develop a classification application of Flores woven from the Manggarai, Nage-Keo or Ngada areas using the Convolutional Neural Network (CNN) method. The software development process uses an incremental method. The data used in this study are images of Flores woven from the Manggarai, Nage-keo, Ngada, Ende and Maumere areas. Ende and Maumere woven images are used as comparative data to detect images that do not include Manggarai, Nage-Keo, and Ngada ikat weaving. This data will be extracted using the VGG16 model that has been trained with weights in the imagenet data to obtain characteristic values ​​in the form of a multidimensional matrix that can recognize colors, textures, etc. The results obtained in this study, the CNN algorithm can be applied to the classification of ikat motifs with a training precision of 99.87% and a validation precision of 98.66%.

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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 ...