Fast Corner Detection in Augmented Reality Learning Management of the Corpse
Abstract
50 out of 170 senior high school students do not understand the material of the corpse management practicum. This study aims to make it easier for students to understand better and remember caring for corpses in the classroom. A learning application for managing bodies made using Augmented Reality (AR) technology. The algorithm used is FAST Corner Detection. This algorithm's sequence is: resizing the image, changing the image to grayscale, smoothing the gray color (histogram), and determining the threshold as a determining point for the point marker. This application contains material on the procedures for bathing, bathing, praying, and burying the body. The FAST Corner Detection algorithm's performance takes 0.41 seconds to detect an object and can be done at a distance of 1 meter. The application also meets 82.8% of the user side's usability level, which indicates that this application is beneficial for learning. Interface testing gets a final score of 90.7%. This result suggests that the application is in outstanding criteria.
Full Text:
PDFReferences
A. Thomas Faizal, M. K. H. Wahyudin, and H. M. A. Deden Nurul, “Pengembangan Aplikasi Pengurusan Jenazah Islam Berbasis Android,” J. Algoritm. Sekol. Tinggi Teknol. Garut, pp. 1–8, 2014.
S. Adrianto, A. Linarta, and M. Erwin, “Aplikasi Tata Cara Pengurusan Jenazah Islam Berbasis Android,” INFORMATIKA, vol. 12, no. 2, pp. 26–32, 2020.
M. A. W. Prasetyo, Z. Karini, and H. Al Ayubi, “Penggunaan Smartphone Application Guna Mempelajari Cara Mengurus Jenazah Umat Muslim,” INTEK J. Penelit., vol. 6, no. 2, pp. 98–105, 2019.
A. Dell’Amore et al., “Human corpse model for video-assisted thoracoscopic lobectomy simulation and training,” Interact. Cardiovasc. Thorac. Surg., vol. 31, no. 5, pp. 632–637, 2020.
M. T. P. Aprianto, S. Ulfa, and A. Husna, “Pengembangan Multimedia Interaktif Mobile Learning Pengurusan Jenazah,” J. Kaji. Teknol. Pendidik., vol. 4, no. 1, pp. 23–32, 2021.
A. P. Andriyandi, W. Darmalaksana, D. S. adillah Maylawati, F. S. Irwansyah, T. Mantoro, and M. A. Ramdhani, “Augmented reality using features accelerated segment test for learning tajweed,” Telkomnika (Telecommunication Comput. Electron. Control. vol. 18, no. 1, pp. 208–216, 2020, doi 10.12928/TELKOMNIKA. V18I1. 14750, 2020.
D. Ramdoni, T. Sugiharto, A. Permana, and R. Nugraha, “Implementation of the FAST Fast Corner Detection Algorithm (Feature Form Accelerated Segment Test) and Augmented Reality to Determine the Authenticity of Batik Case Study (Batik Trusmi) Cirebon,” Balong Int. J. Des., vol. 1, no. 1, 2019.
A. Wiharto and C. Budihartanti, “Aplikasi Mobile Augmented Reality Sebagai media Pembelajaran Pengenalan Hardware Komputer Berbasis Android,” PROSISKO, 2017, [Online]. Available: https://www.scribd.com/document/423068668/387-1088-1-PB-1.
A. Syahputra, S. Andryana, and A. Gunaryati, “Aplikasi Augmented Reality (AR) dengan Metode Marker Based sebagai Media Pengenalan Hewan Darat pada Anak Usia Dini menggunakan Algoritma Fast Corner Detection (FCD),” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 5, no. 1, pp. 43–56, 2020.
E. R. Nainggolan, H. H. Asymar, A. R. A. Nalendra, F. Sulaeman, and U. Radiyah, “The implementation of augmented reality as learning media in introducing animals for early childhood education,” in 2018 6th International Conference on Cyber and IT Service Management (CITSM), 2018, pp. 1–6.
B. Syihabudin, “The introduction of 3D applications Animal In Indonesia Using Augmented Reality Marker-Based Tracking Method,” J. Tek. Inform. CIT Medicom, vol. 10, no. 2, pp. 14–22, 2018.
F. R. Effendy, “PENGENALAN HEWAN BERBASIS AUGMENTED REALITY MENGGUNAKAN ALGORITMA FAST CORNER DETECTION PADA KEBUN BINATANG RAGUNAN.” Universitas Pembangunan Nasional Veteran Jakarta, 2019.
S. I. W. Putra, “Implementasi Teknologi Markerless Augmented Reality Menggunakan Metode Algoritma FAST Corner Detection Berbasis Android (Studi kasus multimedia buku interaktif kebudayaan lokal kalimantan barat ),” vol. 07, No. 01, pp. 1–10, 2019.
M. Fayiz, N. Hilmy, U. Darusalam, and A. Rubhasy, “Augmented Reality sebagai Media Edukasi Sejarah Bangunan Peninggalan Kesultanan Utsmaniyah menggunakan Metode Marker Based Tracking dan Algoritma Fast Corner Detection,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 4, no. 2, pp. 138–146, 2020.
M. T. Samant and M. S. Vartak, “INTERIOR DESIGN USING AUGMENTED REALITY,” Int. Res. J. Eng. Technol., vol. 6, no. 1, pp. 1003–1007, 2019.
S. Effendi and S. M. Hardi, “Implementasi Augmented Reality Pembelajaran Bahasa Jepang pada Pengenalan Perabotan Kamar Tidur Menggunakan Huruf Hiragana Bagi Anak-Anak dengan Menggunakan Algoritma Fast Corner Detection,” 2017.
M. Rusiñol, J. Chazalon, and K. Diaz-Chito, “Augmented songbook: an augmented reality educational application for raising music awareness,” Multimed. Tools Appl., vol. 77, no. 11, pp. 13773–13798, 2018.
Mustahdi and Mustahkim, Pendidikan Agama Islam dan Budi Pekerti. Pusat Kurikulum dan Perbukuan, Balitbang, Kemendikbud., 2017.
S. Rasjid, Fiqh Islam. Penerbit Sinar Baru Algensindo Bandung, 2001.
I. Mulyana, M. I. Suriansyah, and J. Akbar, “Implementasi Natural Feature Tracking Pada Pengenalan Mamalia Laut Berbasis Augmented Reality,” Semin. Nas. Teknol. Inf. dan Multimed., pp. 13–18, 2018, [Online]. Available: https://ojs.amikom.ac.id/index.php/semnasteknomedia/article/view/2008/1817.
B. Setiadi and E. B. Setiawan, “Aplikasi Penerjemah Tablatur Gitar Menggunakan Teknologi Augmented Reality Pada Platform Android,” J. Ultim. InfoSys, vol. 7, no. 2, pp. 86–93, 2016, doi: 10.31937/si.v7i2.545.
D. Irmayani, Rekayasa Perangkat Lunak, Bahasa Ind., vol. 2, no. 3. Yogyakarta: ANDI, 2019.
“ALPHA TESTING.” https://sis.binus.ac.id/2016/12/16/alpha-testing/ (accessed Apr. 11, 2021).
“BETA TEST.” https://sis.binus.ac.id/2016/12/16/beta-test/ (accessed Apr. 11, 2021).
Olehabib, “Part 1 – Menggunakan Prinsip Jacob Nielsen’s Heuristic untuk Meningkatkan Usability pada User Interface.” https://medium.com/@olehabib/menggunakan-prinsip-jacob-nielsens-heuristic-untuk-usability-ui-ux-design-yang-lebih-baik-9d583daaeeb5.
DOI: https://doi.org/10.31449/inf.v45i6.3580
This work is licensed under a Creative Commons Attribution 3.0 License.