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MODEL MIXED REALITY SIMULATOR (MRSi) SEBAGAI MEDIA PEMBELAJARAN MITIGASI BENCANA DENGAN PENDEKATAN HYBRID TAM DAN THE WHEEL

JAMIL, Mohamad and Hadiyanto, Hadiyanto and Sanjaya, Ridwan (2025) MODEL MIXED REALITY SIMULATOR (MRSi) SEBAGAI MEDIA PEMBELAJARAN MITIGASI BENCANA DENGAN PENDEKATAN HYBRID TAM DAN THE WHEEL. Doctoral thesis, UNIVERSITAS DIPONEGORO.

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Abstract

Teknologi Mixed reality (MR) memiliki potensi untuk dapat dikembangkan sebagai media interaktif yang dapat mensimulasikan suatu kejadian sesuai skenario yang sudah ditentukan pengguna secara langsung dengan objek buatan di lingkungannya. Desain dan evaluasi antarmuka perangkat Mixed Reality (MR) melibatkan sejumlah tantangan. Rekomendasi desain antarmuka yang telah disampaikan dalam beberapa penelitian sebelumnya masih terbatas dan perlu mendapat perhatian. Interaksi pengguna, keseimbangan realitas, iterasi desain, dan evaluasi pengalaman pengguna merupakan beberapa permasalahan yang perlu diteliti dan dibahas lebih lanjut guna penyempurnaan teknologi tersebut di masa mendatang. Penelitian ini bertujuan untuk mengembangkan, menganalisis dan melakukan evaluasi terkait pengembangan model Mixed Reality Simulator (MRSi) untuk pembelajaran mitigasi bencana dengan pendekatan Hybrid Technology Accceptance Model (HTAM) dan The Wheel. Berdasarkan hasil penelitian diperoleh bahwa keefektifan penggunaan teknologi MRSi bagi pengguna dalam simulasi mitigasi bencana lebih dipengaruhi oleh lingkungan simulasi (VE), niat berperilaku (BI), kompatibilitas, (CO) dan biaya (CT) berpengaruh positif terhadap adopsi dan penerimaan teknologi. Pengurangan jumlah vertices dan triangles berhasil dilakukan untuk memenuhi persyaratan teknis yang disyaratkan. Hasil evaluasi usability menunjukkan bahwa MRSi mampu memberikan pengalaman pengguna yang baik. Namun, perlu penelitian lebih lanjut terkait evaluasi dampak Cybersickness khususnya terkaiit dengan pengurangan gejala gangguan penglihatan (Occulamotor)
Kata kunci: Mixed Reality, Simulator, Mitigasi Bencana, Hybrid TAM, The Wheel, Depth of Fields. Heuristic Evaluation, Cybersickness

Mixed reality (MR) technology has the potential to be developed as an interactive media that can simulate an event according to a scenario that has been determined by the user directly with artificial objects in the environment. The design and evaluation of Mixed Reality (MR) device interfaces involves a number of challenges. Interface design recommendations that have been presented in several previous studies are still limited and need attention. User interaction, balance of reality, design iteration, and evaluation of user experience are some of the issues that need to be researched and discussed further in order to improve this technology in the future. This research aims to develop, analyze and carry out evaluations related to the development of the Mixed Reality Simulator (MRSi) model for learning disaster mitigation using the Hybrid Technology Acceptance Model (HTAM) and The Wheel approaches. Based on the research results, it was found that the effectiveness of using MRSi technology for users in disaster mitigation simulations is more influenced by the simulation environment (VE), behavioral intention (BI), compatibility, (CO) and cost (CT) which have a positive effect on technology adoption and acceptance. Reducing the number of vertices and triangles was successfully carried out to meet the required technical requirements. The usability evaluation results show that MRSi is able to provide a good user experience. However, further research is needed regarding the evaluation of the impact of Cybersickness, especially in relation to reducing symptoms of visual impairment (Occulamotor).
Keywords: Mixed Reality, Simulator, Disaster Mitigation, Hybrid TAM, The Wheel, Depth of Fields. Heuristic Evaluation, Cybersickness

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: Mixed Reality, Simulator, Mitigasi Bencana, Hybrid TAM, The Wheel, Depth of Fields. Heuristic Evaluation, Cybersickness
Subjects: Sciences and Mathemathic
Divisions: Postgraduate Program > Doctor Program in Information System
Depositing User: ekana listianawati
Date Deposited: 17 Jul 2025 03:39
Last Modified: 17 Jul 2025 03:39
URI: https://eprints2.undip.ac.id/id/eprint/35026

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