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Evaluation of Lontar Prasi Bali Application based on Augmented Reality Using User Experience Questionnaire I Gede Iwan Sudipa; Putu Wirayudi Aditama; Christina Purnama Yanti
East Asian Journal of Multidisciplinary Research Vol. 1 No. 9 (2022): October 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v1i9.1531

Abstract

The digitalization era supports the use of technology to preserve and strengthen local culture, such as using Augmented Reality (AR) to visualize Lontar Prasi figures and stories. To design and operate the Lontar Prasi Bali AR application optimally based on user demands, User Experience (UE) testing was conducted on 56 respondents with 8 questions on the application using User Experience Questionnaire (UEQ)  test shows that the average pragmatic and hedonic quality is 1.94, meaning the application is good at providing user pleasure and comfort. The Lontar Prasi Bali AR app provides above-average results (Excellent) and matches user expectations.
Indigenous Bali Of Lontar Prasi Using Augmented Reality For Support Strengthen Local Cultural Content Putu Wirayudi Aditama; I Gede Iwan Sudipa; Christina Purnama Yanti
Eduvest - Journal of Universal Studies Vol. 2 No. 11 (2022): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.119 KB) | DOI: 10.59188/eduvest.v2i11.612

Abstract

Lontar Prasi Bali is one of the cultural heritages that is still preserved in the Balinese life system. The problem is that the understanding of the Balinese Lontar Prasi can only be understood by some people so not all can understand the functions and stories contained in the Balinese Lontar Prasi. The solution to this problem is to provide a touch of Augmented Reality technology to show the story's contents in Lontar Prasi through 3D characters, audio, and text. The method used is the Prototyping Model chosen because it accommodates the scope and timeline of application development and facilitates communication between application developers and organizations. The test was conducted using four types of smartphones. The test results show that the four smartphones can be seen when the camera detects objects on the marker, Xiaomi Note 8 Pro and Oppo Reno F1 can detect objects within 1 second. While the Samsung A50s can detect objects for 2 seconds and the Xiaomi Redmi 5 can detect time for 3 seconds.