Classification of batik patterns using K-Nearest neighbor and support vector machine
This study is proposed to compare which are the better method to classify Batik image
between K-Nearest neighbor and support vector machine using minimum features of GLCM …
between K-Nearest neighbor and support vector machine using minimum features of GLCM …
A Robust Batik Image Classification using Multi Texton Co-Occurrence Descriptor and Support Vector Machine
Batik is a unique pattern that symbolises characteristics and is a cultural heritage that is
recognised by UNESCO. Batik is a research topic in image processing for image retrieval …
recognised by UNESCO. Batik is a research topic in image processing for image retrieval …
Penerapan Big Data Menggunakan Algoritma Multi-Label K-Nearest Neighbor dalam Analisis Sentimen Konsumen UMKM Sektor Kuliner
MR Fauzi, RA Pratama… - Krea-TIF: Jurnal …, 2021 - ejournal.uika-bogor.ac.id
UMKM di Kota Bogor merupakan UMKM yang mengalami perkembangan yang signifikan
dari tahun ke tahun. Pada tahun 2019, di Kota Bogor tercatat ada sekitar 30.822 usaha …
dari tahun ke tahun. Pada tahun 2019, di Kota Bogor tercatat ada sekitar 30.822 usaha …
Ensemble convolutional neural network for robust batik classification
Y Azhar, MC Mustaqim… - IOP Conference Series …, 2021 - iopscience.iop.org
Some researchers propose using the Convolutional Neural Network (CNN) method to
classified batik images. It can extract features automatically without the need to define …
classified batik images. It can extract features automatically without the need to define …
Deep Convolutional Generative Adversarial Network Application in Batik Pattern Generator
Batik has been alleged as one of the oldest cultural heritages worldwide. Since the initiation,
batik has been identified with various types and patterns. Various kinds of batik making …
batik has been identified with various types and patterns. Various kinds of batik making …
[PDF][PDF] Various implementation of collaborative filtering-based approach on recommendation systems using similarity
The Recommendation System plays an increasingly important role in our daily lives. With
the increasing amount of information on the internet, the recommendation system can also …
the increasing amount of information on the internet, the recommendation system can also …
Human height and weight classification based on footprint using gabor wavelet and K-NN methods
RB Wicaksono, S Aulia, S Hadiyoso… - Jurnal …, 2022 - ejournal.ittelkom-pwt.ac.id
Height and weight are parameters to identify a person, especially for a forensic. To identify
height and weight is usually done manually. In addition to manually using height measuring …
height and weight is usually done manually. In addition to manually using height measuring …
[PDF][PDF] Analisis Big Data Sentimen Konsumen UMKM Sektor Kuliner Menggunakan Multi-Label K-Nearest Neighbor
MR Fauzi, RA Pratama, P Laksono… - Krea-TIF J. Tek. Inform, 2021 - academia.edu
UMKM di Kota Bogor merupakan UMKM yang mengalami perkembangan yang signifikan
dari tahun ke tahun. Pada tahun 2019, di Kota Bogor tercatat ada sekitar 30.822 UMKM …
dari tahun ke tahun. Pada tahun 2019, di Kota Bogor tercatat ada sekitar 30.822 UMKM …
Cirebon mask classification using robust k-nearest neighbour
FI Kurniadi, F Hendriyanto - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Indonesia culture captivates people both domestically and internationally. One of the
prominent cultures is Cirebon Mask. There are five types of Cirebon masks: Panji, Samba …
prominent cultures is Cirebon Mask. There are five types of Cirebon masks: Panji, Samba …
[PDF][PDF] Kombinasi Metode Naive Bayes dan K-Medoid dalam Memprediksi Penjurusan Siswa di Sekolah Menengah Atas
DD Hariyanti, GA Pradnyana, IGM Darmawiguna - J. Ilmu Komput, 2021 - academia.edu
Penjurusan merupakan suatu proses penempatan atau penyaluran dalam pemilihan
program pengajaran kepada siswa. Tujuan dari penentuan penjurusan itu sendiri adalah …
program pengajaran kepada siswa. Tujuan dari penentuan penjurusan itu sendiri adalah …