JTIM : Jurnal Teknologi Informasi dan Multimedia
Vol 5 No 1 (2023): May

Implementasi Augmented Reality Sebagai Media Promosi Pada Lesehan Kalisari Dengan Metode Based Marker Tracker

Biyas Ola Tafakkur (STMIK Syaikh Zainuddin Nahdlatul Wathan Anjani, Lombok Timur)
Lalu Puji Indra Kharisma (STMIK Syaikh Zainuddin Nahdlatul Wathan Anjani, Lombok Timur)
Ahmad Ashril Rizal (Universitas Islam Negeri Mataram)
Abdurahim Abdurahim (Politeknik Medica Farma Husada Mataram, Mataram)



Article Info

Publish Date
24 May 2023

Abstract

Multimedia, as an information technology product, has the advantage of attracting the imagination and interest of its users. One of the multimedia products whose development is quite widely accepted by most people is augmented reality (AR). With the support of technology, Augmented Reality can combine the real world with the visual world. This study aims to design and build an android-based application using augmented reality technology with the Based Marker Tracker method as an alternative promotional media so that various food/beverage products available at restaurants or Lesehan Kalisari can be more attractive to customers. This application uses Vuforia SDK software, Unity3D with C# programming language, and Blender 3D to create 3D shapes from food/beverage products. This research uses the waterfall development method or what is often referred to as the classic life cycle. This research produces an android-based augmented reality application that can display 3D forms of food/beverage products on the menu list. With this application, it is hoped that it can become an alternative promotional media that increases the number of customers.

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...