Pengembangan Aplikasi Augmented Reality Untuk Panduan Osteotomi Fibula Pada Platform IOS Dan Visionos

Dzaky, Mohammad Zhafran (2025) Pengembangan Aplikasi Augmented Reality Untuk Panduan Osteotomi Fibula Pada Platform IOS Dan Visionos. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Prosedur bedah rekonstruksi rahang dengan metode free fibular flap (FFF) memerlukan presisi tinggi dalam proses osteotomi (pemotongan tulang) fibula. Pendekatan konvensional masih menghadapi tantangan dari segi efisiensi dan fleksibilitas operasional. Augmented reality (AR) menjadi alternatif potensial karena kemampuannya menampilkan panduan visual secara real-time tanpa alat bantu fisik tambahan. Namun, studi yang secara khusus mengeksplorasi prosedur ini menggunakan teknologi native milik Apple, seperti ARKit dan RealityKit pada iOS dan visionOS, masih sangat terbatas. Penelitian ini bertujuan mengeksplorasi kelayakan dan kesiapan pendekatan markerless AR secara native pada kedua platform tersebut dalam konteks simulasi osteotomi fibula, dengan menghasilkan panduan visual berupa objek bidang potong yang telah dipetakan secara spasial sesuai untuk diikuti saat tahap eksekusi. Aplikasi dikembangkan dengan object detection pada iOS dan object tracking berbasis machine learning pada visionOS. Evaluasi dilakukan terhadap delapan partisipan untuk menilai dan membandingkan performa pengguna (berdasarkan waktu penyelarasan fibula virtual dengan fibula dunia nyata untuk visualisasi objek bidang potong) dan usability melalui pengukuran System Usability Scale (SUS) antara kedua platform. Hasil menunjukkan bahwa meskipun perbedaan waktu penyelesaian belum signifikan secara statistik, visionOS memiliki rata-rata waktu penyelesaian tugas lebih cepat dan skor usability yang lebih tinggi dibandingkan iOS. Evaluasi kualitatif juga dilakukan bersama seorang dokter spesialis bedah onkologi kepala-leher dalam konteks semi-klinis, menghasilkan umpan balik konstruktif terhadap interaksi, visualisasi, dan kesiapan aplikasi untuk pengujian klinis lanjutan. Penelitian ini menunjukkan bahwa pendekatan native AR markerless pada ekosistem Apple berpotensi digunakan dalam simulasi bedah presisi yang efisien dan fleksibel.
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Mandibular reconstruction using the free fibular flap (FFF) technique requires high precision during fibula osteotomy. Conventional approaches still face challenges in terms of
efficiency and operational flexibility. Augmented reality (AR) presents a promising alternative due to its ability to display visual guides in real-time without additional physical tools. However, studies that specifically explore this procedure using Apple’s native technologies, such as
ARKit and RealityKit on iOS and visionOS, remain very limited. This study aims to explore the feasibility and readiness of native markerless AR on both platforms in the context of fibula osteotomy simulation, by producing a visual guide in the form of cutting plane objects that are
spatially pre-mapped to be followed during the execution phase. The application was developed using object detection on iOS and machine learning–based object tracking on visionOS. Evaluation was conducted with eight non-expert participants to assess user performance (based
on task completion time) and usability through the System Usability Scale (SUS). Results showed that although the time differences were not statistically significant, visionOS yielded faster average task completion times and higher usability scores than iOS. A qualitative evaluation was also conducted with a head and neck surgical oncologist in a semi-clinical setup, producing constructive feedback regarding interaction design, visual clarity, and the
application's readiness for further clinical validation. This study demonstrates that native markerless AR in Apple’s ecosystem has strong potential for supporting efficient and flexible surgical simulation.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Augmented Reality, Evaluasi Pengguna, iOS, Osteotomi Fibula, visionOS, Augmented Reality, Fibula Osteotomy, iOS, User Evaluation, visionOS
Subjects:	L Education > LB Theory and practice of education > LB1044.87 Internet in education (e-learning). Virtual reality in education. Q Science > QA Mathematics > QA76.9.I52 Information visualization Q Science > QM Human anatomy > QM101 Skeleton. Osteology T Technology > T Technology (General) > T57.62 Simulation
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Mohammad Zhafran Dzaky
Date Deposited:	21 Jul 2025 01:47
Last Modified:	21 Jul 2025 01:47
URI:	http://repository.its.ac.id/id/eprint/120180

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