Pengembangan Aplikasi Edukasi Kesiapsiagaan Bencana Kebakaran dengan Metode Scenario-Based Learning Menggunakan Teknologi Augmented Reality

Farrel, Chalvin Reza (2026) Pengembangan Aplikasi Edukasi Kesiapsiagaan Bencana Kebakaran dengan Metode Scenario-Based Learning Menggunakan Teknologi Augmented Reality. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tingginya frekuensi bencana kebakaran di Indonesia menuntut adanya edukasi kesiapsiagaan yang lebih efektif, mengingat pendekatan konvensional seringkali gagal membangun ketenangan psikologis dan memori prosedural yang dibutuhkan untuk pengambilan keputusan saat keadaan darurat. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan merancang dan mengimplementasikan metode Scenario-Based Learning (SBL) ke dalam aplikasi Augmented Reality (AR) guna meningkatkan kesiapsiagaan pengguna secara interaktif. Aplikasi dikembangkan menggunakan Unity Engine dan AR Foundation, menampilkan simulasi visual 3D imersif yang berfokus pada deteksi sumber bahaya, penentuan rute evakuasi, dan simulasi penggunaan alat pemadam api ringan (APAR) virtual. Kebergunaan dan efektivitas aplikasi dievaluasi menggunakan instrumen System Usability Scale (SUS), analisis skor N-Gain, serta pemodelan Rasch dengan metode stacking berdasarkan perbandingan data pre-test dan post-test dari 34 partisipan. Hasil pengujian operasional menunjukkan skor SUS sebesar 74,71 yang mengindikasikan tingkat penerimaan dan kelayakan sistem yang baik dari sisi pengguna. Intervensi metode edukasi ini terbukti sangat efektif secara kognitif, ditunjukkan oleh capaian rata-rata N-Gain sebesar 0,712 (kategori Tinggi) dan lonjakan abilitas partisipan yang signifikan dari 1,151 menjadi 3,165 logit. Integrasi metode SBL dengan teknologi AR terbukti menyediakan instrumen edukasi kebencanaan yang adaptif, yang mampu meningkatkan pemahaman prosedural tanggap darurat secara aman guna membantu meminimalisasi risiko korban jiwa di masa depan.
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The high frequency of fire disasters in Indonesia necessitates more effective preparedness education, as conventional approaches often fail to build the psychological calmness and procedure memory required for controlled decision-making during emergencies. To address this fundamental gap, this study aims to design and implement a Scenario-Based Learning (SBL) method within an Augmented Reality (AR) application to interactively enhance user preparedness. The application was developed utilizing the Unity Engine and AR Foundation, featuring immersive 3D visual simulations focused on hazard detection, evacuation route navigation, and virtual fire extinguisher (APAR) operations. The system's usability and educational effectiveness were evaluated using the System Usability Scale (SUS), N-Gain score analysis, and Rasch Model stacking derived from the pre-test and post-test data of 34 participants. Testing results yielded a SUS score of 74.71, demonstrating good user acceptability and system feasibility. The educational intervention proved highly effective cognitively, achieving an average N-Gain score of 0.712 (High category) and a significant participant ability increase from 1.151 to 3.165 logit. Ultimately, integrating the SBL method with AR technology provides an adaptable disaster education instrument that successfully improves emergency procedural understanding in a safe environment, helping to minimize the risk of future casualties.

Item Type: Thesis (Other)
Uncontrolled Keywords: Augmented Reality, Edukasi Kebakaran, Kesiapsiagaan Bencana, Scenario Based Learning, Simulasi Interaktif, Augmented Reality, Disaster Preparedness, Fire Education, Interactive Simulation, Scenario Based Learning
Subjects: Q Science > QA Mathematics > QA76.9 Computer algorithms. Virtual Reality. Computer simulation.
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User: Chalvin Reza Farrel
Date Deposited: 26 Jul 2026 14:31
Last Modified: 26 Jul 2026 14:31
URI: http://repository.its.ac.id/id/eprint/137672

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