Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer JURNAL INTEGRASI JISA (Jurnal Informatika dan Sains)
Ketut Bayu Yogha Bintoro
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURNAL%20INTEGRASI

 1 
Analisis Perbandingan Efektifitas Metode Marker dan Markerless Tracking pada Objek Augmented Reality Budi Arifitama; Ade Syahputra; Ketut Bayu Yogha Bintoro
JURNAL INTEGRASI Vol 14 No 1 (2022): Jurnal Integrasi - April 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i1.3985

Abstract

Markers in augmented reality is an important component for the emergence of an augmented reality object. The function of the marker is to mark the location of an augmented reality object. Currently, there are two types of markers used in the development of augmented reality, namely marker-based tracking and markerless-based tracking. Marker-based tracking has a marker with a pattern on a printed media. Meanwhile, Markerless-based tracking has a point distribution pattern based on a flat surface. Unfortunately, several previous studies that developed AR applications did not have information on the effectiveness and accuracy between the two methods. It is very important to measure the accuracy of the appearance of AR objects to determine the appearance of AR objects, failing to choose the marker used will cause instability in the appearance of AR objects. This study tested the two markers which is distance, height and angle as a parameter. The results of the test stated that markerless tracking was superior to distances of 150 cm with an accuracy rate of 93% while marker-based tracking was only 83.3%.
Co-Authors Ade Syahputra Budi Arifitama Sam Ali Nurdin Widodo Prijodiprodjo