PENGEMBANGAN AUGMENTED REALITY UNTUK APLIKASI PENGENALAN RUMAH ADAT NUSANTARA DENGAN METODE MDLC

  • I Komang Suartama Universitas Primakara
  • Ni Luh Putu Ning Septyarini Putri Astawa Universitas Primakara
  • I Gede Putu Krisna Juliharta Universitas Primakara

Abstract

This research aims to develop an educational media application named "AR Rumah Adat Nusantara" based on Augmented Reality (AR) to introduce traditional houses in Indonesia to students. The background of this research is the importance of preserving local culture, where this application is expected to enhance students' understanding of Indonesian cultural heritage. The development method used is the Multimedia Development Life Cycle (MDLC). This research employs a mixed-method approach combining quantitative and qualitative data, with data collection techniques including interviews, observations, and literature studies. The application testing was conducted using black box testing to ensure its functionality. The research participants consisted of educators and fourth-grade students from a non-formal education institution in Gianyar Regency, Bali. The results indicate that the application was successfully developed, with black box testing showing 100% functionality. These findings demonstrate the significant potential of AR technology in education, particularly in introducing and preserving local culture. The "AR Rumah Adat Nusantara" application can become an engaging and interactive learning medium for students to study traditional houses in Indonesia, thereby enhancing their knowledge and understanding of local culture.

Published
2024-12-31
How to Cite
SUARTAMA, I Komang; ASTAWA, Ni Luh Putu Ning Septyarini Putri; JULIHARTA, I Gede Putu Krisna. PENGEMBANGAN AUGMENTED REALITY UNTUK APLIKASI PENGENALAN RUMAH ADAT NUSANTARA DENGAN METODE MDLC. Jurnal Tekinkom (Teknik Informasi dan Komputer), [S.l.], v. 7, n. 2, dec. 2024. ISSN 2621-3079. Available at: <https://jurnal.murnisadar.ac.id/index.php/Tekinkom/article/view/1587>. Date accessed: 17 jan. 2025. doi: https://doi.org/10.37600/tekinkom.v7i2.1587.
Section
Articles