Jurnal Teknologi Informasi dan Multimedia
Vol. 8 No. 3 (2026): August

Implementasi Hybrid Augmented Reality Target-Based dan Markerless untuk Edukasi Kesehatan Gigi pada Android

R Reza El Akbar (Program Studi Informatika, Universitas Siliwangi, Indonesia)
Ghiyats Alyasa (Program Studi Informatika, Universitas Siliwangi, Indonesia)
Eka Wahyu Hidayat (Program Studi Informatika, Universitas Siliwangi, Indonesia)



Article Info

Publish Date
10 Aug 2026

Abstract

This study aims to develop an Android-based "Dental AR" application as a dental and oral health education medium using model-target tracking and markerless ground-plane tracking. The application development was carried out using the Multimedia Development Life Cycle method which includes the stages of concept, design, material collecting, assembly, testing, and distribution. Application evaluation included functionality testing using black-box testing with equivalence partitioning techniques, device performance testing, assessment by material experts, and usability testing using the System Usability Scale on 46 respondents. The test results showed that all main functions ran according to design. Performance testing produced an average of 52.2 FPS with a smoothness level of 98.8%. The assessment by material experts resulted in a feasibility percentage of 95.6%, while the SUS test obtained an average score of 78.26 which is included in the acceptable category. These results indicate that the application can be used as a dental and oral health education medium with a good level of user acceptance. Further research is needed to measure the effectiveness of the application in increasing user knowledge and evaluate the robustness of tracking in various environmental conditions.

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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, ...