Application Mobile-Based Augmented Reality for Endemic Animals of Central Kalimantan

  • Herdy Andriksen (1) Universitas Teknologi Yogyakarta
  • Donny Avianto (2*) Universitas Teknologi Yogyakarta

  • (*) Corresponding Author
Keywords: Recognition Apps, Endangered Animals, Augmented Reality, Vuforia SDK, Unity 3D

Abstract

The existence of endemic animals typical of Central Kalimantan, such as orangutans and hornbills, is included in the protected species situation because the population numbers have increased slightly along with the clearing of land for the plantation sector, making orangutan and hornbill areas that should be beautiful and natural disappear. Because of this, a medium for conveying information and a unique introduction to the public is needed to know how important it is to know and know the various endangered species in Central Kalimantan to preserve animals. Therefore, this research aims to create an application for Central Kalimantan endemic animals using Mobile-based Augmented Reality to introduce Central Kalimantan's rare animals, starting from the area of residence, characteristics, leading food, and information about animal habitats. The application development process uses the Markerless Augmented Reality (AR) method, which displays 3D objects without using unique markers such as photos or images. The application development stage includes the planning, design, data collection, 3D object creation, application development and application testing using Blackbox testing with the Text Case method, which produces application testing descriptively explaining the application work process. The application for displaying 3D objects was tested in 5 trials, with an average of 5 seconds, and the marker appeared to display 3D objects. This application can have an impact on progress in the field of informatics as a medium for delivering information and learning media using Augmented Reality Markerless.

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Published
2023-06-10
How to Cite
Andriksen, H., & Avianto, D. (2023). Application Mobile-Based Augmented Reality for Endemic Animals of Central Kalimantan. Jurnal Riset Informatika, 5(3), 365-372. https://doi.org/10.34288/jri.v5i3.528
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