Kombinasi Algoritma Huffman dan Rivest Shamir Adleman Untuk Optimalisasi Kapasitas Informasi Pada Quick Response Code
DOI:
https://doi.org/10.62411/tc.v23i1.9421Keywords:
Optimalisasi, Kapasitas QR Code, Kompresi HuffmanAbstract
Quick response code adalah matriks dua dimensi yang dapat menyimpan informasi dalam empat mode pengkodean berbeda. QR Code menawarkan kemudahan dan kecepatan dalam menyimpan dan mengakses informasi sehingga dalam implementasinya terbatas pada penyematan informasi singkat seperti kode produk, tautan website ataupun kode pembayaran. Pada perkembangannya, QR Code seharusnya dapat mengubah kebiasaan manusia dalam menyimpan informasi akan tetapi hal ini sulit dilakukan karena QR Code memiliki batasan karakter bergantung pada metode pengkodean. Oleh karena itu tujuan dari penelitian ini adalah untuk mengoptimalisasi kapasitas informasi pada QR Code dengan mengkombinasikan algoritma Huffman dan metode Rivest Shamir Adleman. Hasil penelitian menunjukan bahwa metode yang diusulkan yaitu flowchart QR Code Generator dan QR Code Reader dapat mengoptimalisasi kapasitas informasi pada QR Code sebesar 81% . Hal ini menunjukan bahwa QR Code versi 40 dengan level L yang memiliki batasan 4296 karakter alfanumerik, dapat dioptimalkan sampai dengan 7775 karakter alfanumerik. Oleh karena itu kesimpulan dari penelitian ini adalah metode yang diusulkan yaitu flowchart QR Code Generator dan QR Code Reader tidak hanya dapat mengoptimalkan kapasitas informasi pada QR Code tapi juga dapat mengamankan informasi yang disematkan pada QR Code dengan tidak mengorbankan kecepatan pemrosesan saat pemindaian.References
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