Penerapan Metode Kompresi Huffman untuk Meningkatkan Jumlah Data Informasi pada Kode Quick Response

Authors

  • Hidayat Hidayat
  • Muchammad Yaasiin Asshobry

DOI:

https://doi.org/10.33633/joins.v7i2.6789

Abstract

Kecepatan memperoleh informasi merupakan hal yang sangat penting. Pemanfaatan kode Quick Response (QR) menjadi salah satu cara dalam upaya memperoleh informasi secara cepat. Namun, setiap versi kode QR Code sendiri memiliki batasan data informasi yang dapat ditampung, sehingga umumnya kode QR hanya menampung tautan website agar informasinya diperoleh melalui website. Peningkatan daya tampung data pada kode QR tentunya dapat memudahkan pengguna untuk menyimpan data informasi lebih banyak sehingga informasi dapat diperoleh tanpa mengakses website. Penelitian ini menerapkan metode kompresi Huffman untuk meningkatkan jumlah informasi yang dapat ditampung dalam kode QR. Kompresi Huffman merupakan algoritme kompresi lossless yang cocok digunakan pada data teks. Tahapan yang dilakukan pada penelitian ini terdiri atas analisis kebutuhan, perancangan, implementasi dan pengujian. Sistem yang dibangun terdiri atas dua aplikasi, yaitu aplikasi generator dan aplikasi pemindai kode QR. Aplikasi generator berfungsi menjalankan kompresi dan menghasilkan kode QR. Aplikasi pemindai kode QR berfungsi memindai kode QR dan melakukan dekompresi serta menampilkan informasi ke layar smartphone. Hasil penelitian menunjukkan kedua aplikasi dapat berfungsi dengan baik. Efisiensi hasil kompresi pada 30 data teks yang diuji mencapai rata-rata 56,6%. Hal ini menjadikan kode QR dapat menampung data informasi rata-rata dua kali lipat data teks tanpa kompresi. 

References

S. Tiwari, “An introduction to QR code technology,” in Proceedings - 2016 15th International Conference on Information Technology, ICIT 2016, 2017, vol. 1, pp. 39–44, doi: 10.1109/ICIT.2016.38.

L. Yan, G. W.-H. Tan, X.-M. Loh, J.-J. Hew, and K.-B. Ooi, “QR code and mobile payment: The disruptive forces in retail,” J. Retail. Consum. Serv., vol. 58, 2021, doi: 10.1016/j.jretconser.2020.102300.

N. P. A. Karniawati, G. S. Darma, L. P. Mahyuni, and I. G. Sanica, “Community perception of using qr code payment in era new normal,” Palarch’s J. Archaeol. Egypt/Egyptology, vol. 18, no. 1, pp. 3986–3999, 2021.

H. Alamoudi, “Examining Retailing Sustainability in the QR Code-Enabled Mobile Payments Context During the COVID-19 Pandemic,” Int. J. Cust. Relatsh. Mark. Manag., vol. 13, no. 1, pp. 1–22, 2021, doi: 10.4018/ijcrmm.289210.

A. R. Wardana and H. Hidayat, “Rancang Bangun Aplikasi Kasir Pencetak Struk Belanja Kode Quick Response berbasis Website dan Android,” JOINS (Journal Inf. Syst., vol. 5, no. 2, pp. 208–220, 2020, doi: 10.33633/joins.v5i2.3809.

M. Smith, M. Segura-Totten, and K. West, “QR Code Lecture Activity as a Tool for Increasing Nonmajors Biology Students’ Enjoyment of Interaction with Their Local Environment †,” J. Microbiol. Biol. Educ., vol. 19, no. 1, pp. 1–6, 2018, doi: 10.1128/jmbe.v19i1.1453.

S. R. Mogali, R. Vallabhajosyula, C. H. Ng, D. Lim, E. T. Ang, and P. Abrahams, “Scan and Learn: Quick Response Code Enabled Museum for Mobile Learning of Anatomy and Pathology,” Anat. Sci. Educ., vol. 12, no. 6, pp. 664–672, 2019, doi: 10.1002/ase.1848.

S. Goyal, S. Yadav, and M. Mathuria, “Exploring concept of QR code and its benefits in digital education system,” in 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016, 2016, pp. 1141–1147, doi: 10.1109/ICACCI.2016.7732198.

C. T. Karia, A. Hughes, and S. Carr, “Uses of quick response codes in healthcare education: A scoping review,” BMC Med. Educ., vol. 19, no. 1, pp. 1–14, 2019, doi: 10.1186/s12909-019-1876-4.

J. T. Jamu, H. Lowi-Jones, and C. Mitchell, “Just in time? Using QR codes for multi-professional learning in clinical practice,” Nurse Educ. Pract., vol. 19, pp. 107–112, 2016, doi: 10.1016/j.nepr.2016.03.007.

Y. Y. Chang et al., “A mobile medical QR-code authentication system and its automatic FICE image evaluation application,” J. Appl. Res. Technol., vol. 13, no. 2, pp. 220–229, 2015, doi: 10.1016/j.jart.2015.06.020.

L. Tarjan, I. Šenk, S. Tegeltija, S. Stankovski, and G. Ostojic, “A readability analysis for QR code application in a traceability system,” Comput. Electron. Agric., vol. 109, pp. 1–11, 2014, doi: 10.1016/j.compag.2014.08.015.

K. Rotsios, A. Konstantoglou, D. Folinas, T. Fotiadis, L. Hatzithomas, and C. Boutsouki, “Evaluating the Use of QR Codes on Food Products,” Sustainability, vol. 14, no. 8, pp. 1–15, 2022, doi: 10.3390/su14084437.

DENSO WAVE, “Information capacity and versions of QR Code,” QRcode.com, 2014. http://www.qrcode.com/en/about/version.html (accessed Jan. 10, 2019).

J. Cpajak and A. Gavrovska, “Smart Web-based Advertising System using Eye-tracking Technology,” in 2021 29th Telecommunications Forum (TELFOR), 2021, pp. 1–4, doi: https://doi.org/10.1109/TELFOR52709.2021.9653350.

U. Jayasankar, V. Thirumal, and D. Ponnurangam, “A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications,” J. King Saud Univ. - Comput. Inf. Sci., vol. 33, no. 2, pp. 119–140, 2021, doi: 10.1016/j.jksuci.2018.05.006.

S. Hamdan, A. Awaian, and S. Almajali, “Compression techniques used in IoT: A comparitive study,” in 2019 2nd International Conference on New Trends in Computing Sciences, ICTCS 2019 - Proceedings, 2019, pp. 1–5, doi: 10.1109/ICTCS.2019.8923112.

J. S. Resende, P. R. Sousa, R. Martins, and L. Antunes, “Breaking MPC implementations through compression,” Int. J. Inf. Secur., vol. 18, no. 4, pp. 505–518, 2019, doi: 10.1007/s10207-018-0424-2.

J. M. Cadavid and H. D. V. Madrigal, “A lossless compression method for chat messages based on huffman coding and dynamic programming,” Computers, vol. 10, no. 3, pp. 1–14, 2021, doi: 10.3390/computers10030028.

A. Mishra and D. Dubey, “A Comparative Study of Different Software Development Life Cycle Models in Different Scenarios,” Int. J. Adv. Res. Comput. Sci. Manag. Stud., vol. 1, no. 5, pp. 2321–7782, 2013, [Online]. Available: http://www.ijarcsms.com/docs/paper/volume1/issue5/V1I5-0008.pdf.

Downloads

Published

2022-11-30

How to Cite

[1]
H. Hidayat and M. Y. Asshobry, “Penerapan Metode Kompresi Huffman untuk Meningkatkan Jumlah Data Informasi pada Kode Quick Response”, Journal of Information System, vol. 7, no. 2, pp. 155–165, Nov. 2022.