Augmented reality sales catalog IT hardware at PT. Unibless using maximally stable extermal regions algorithm

##plugins.themes.bootstrap3.article.main##

Fahri al Rasyid Iskandar Fitri Andrianingsih Andrianingsih

Abstract

In today's digital age, based on a lot of business competition to attract consumers who still use promotions through brochures or websites, then with the advent of Augmented Reality (AR) technology, business entrepreneurs especially in the field of IT Hardware can adopt AR technology in the marketing of its products. The technology can display 3-dimensional objects in real time, so consumers can see hardware IT models more interactively and interestingly. In supporting AR development, the study used the MSER (Maximally Stable Extremal Regions) algorithm identified as one of the best image capturers due to its resistance to changes in angle of view, scale or pixel, and lighting, as well as sensitivity to blurred imagery by testing based on pixel density by intensity, in terms of accuracy of light reusability rate, as well as the speed at which 3D objects appear based on distance when reading markers. Thus the researchers get the appropriate test results that the tighter the pixels then the more perfect the AR object will appear, and also with sufficient light intensity and suitable distance, the easier it will be to appear perfect. The results of this study resulted in an application that runs on the android platform as one of the supporting in the marketing promotion of IT Hardware products in a more interactive way, because the use of AR with MSER algorithm is very helpful for the company to more clearly provide in detail and detail regarding the 3D object specifications of a product that wants to be sold without carrying the product, and can also help consumers to see products marketed by other sellers or companies so that consumers will be interested in buying IT Hardware products from PT. Unibless.

##plugins.themes.bootstrap3.article.details##

Section
Articles
References
[1] E. Yulsilviana, B. Basrie, and A. W. Saputra, “Implementasi Augmented Reality Pemasaran Rumah PT. Rika Bersaudara Sakti Menggunakan Metode Marker Based Tracking Pada Brosur Perumahan,” Sebatik, vol. 17, no. 1, pp. 11–15, 2017.
[2] S. Naqiyah, S. Andryana, and R. T. Komalasari, “Augmented Reality Pengenalan Laboratorium FTKI Universitas Nasional dengan Tracking Based Navigation,” J. Sist. dan Teknol. Inf., vol. 8, no. 1, p. 116, 2020, doi: 10.26418/justin.v8i1.38307.
[3] A. Anggratama, B. Widada, and W. L. YS, “Augmented Reality Sebagai Media Pemasaran Di Dealer Auto 2000 Madiun,” J. TIKomSiN, vol. 4, no. 1, pp. 1–7, 2016, [Online]. Available: https://p3m.sinus.ac.id/jurnal/index.php/TIKomSiN/article/view/264.
[4] H. Kusniyati, R. Yusuf, and M. A. Widyartanto, “Pemanfaatan Augmented Reality Untuk Pengenalan Hardware,” J. Pengkaj. dan Penerapan Tek. Inform., vol. 10, no. 1, pp. 1–90, 2017.
[5] H. Mukhtar, S. Soni, and H. Setiawan, “Aplikasi Pengenalan Situs Bersejarah Di Kota Pekanbaru Dengan Augmented Reality Markerless Berbasis Android,” J. Fasilkom, vol. 9, no. 2, pp. 387–395, 2019, doi: 10.37859/jf.v9i2.1395.
[6] H. A. Mumtahana, “Perancangan Teknologi Augmented Reality Pada Brosur Stt Dharma Iswara Madiun,” DOUBLECLICK J. Comput. Inf. Technol., vol. 1, no. 1, p. 6, 2017, doi: 10.25273/doubleclick.v1i1.1320.
[7] H. P. Harahap, “Pendeteksi Objek pada Citra Menggunakan Pencocokan Titik-Titik Fitur berbasis Algoritma SURF dan MSER,” Komputasi, vol. 13, no. 2, pp. 71–79, 2016.
[8] K. A. Siddik, “Kombinasi MSER Dan SURF Dalam Mendeteksi Teks Pada Gambar Natural,” Pros. Annu. Res. Semin., vol. 2, no. 1, pp. 197–200, 2016.
[9] Y. Yohannes, “Deteksi Teks Secara Otomatis Pada Natural Image Berbasis Superpixel Menggunakan Maximally Stable Extremal Regions dan Stroke Width Transform,” Jurnal Teknik Informatika dan Sistem Informasi, vol. 3, no. 2. 2017, doi: 10.28932/jutisi.v3i2.630.
[10] H. Maulana, D. Herumurti, and A. Yuniarti, “Metode Maximally Stable Extremal Regions Dan Harris Corner Untuk Mendeteksi Lokasi Plat Nomor Kendaraan Bermotor,” SCAN - J. Teknol. Inf. dan Komun., vol. 13, no. 1, pp. 29–38, 2018, doi: 10.33005/scan.v13i1.1056.