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Bulletin of Information Technology (BIT)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27220524     DOI : 10.47065/bit.v2i3.106
Core Subject : Science,
Computer Science & IT
Jurnal Bulletin of Information Technology (BIT) memuat tentang artikel hasil penelitian dan kajian konseptual bidang teknik informatika, ilmu komputer dan sistem informasi. Topik utama yang diterbitkan mencakup:berisi kajian ilmiah informatika tentang : Sistem Pendukung Keputusan Sistem Pakar Sistem Informasi, Kriptografi Pemodelan dan Simulasi Jaringan Komputer Komputasi Pengolahan Citra Dan lain-lain (topik lainnya yang berhubungan dengan teknologi informasi)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 12 Documents
 1   2 
Search results for , issue "Vol 3 No 2: Juni 2022" : 12 Documents clear
Rancang Bangun Sistem Rekomendasi Produk Sepatu pada Toko Online Menggunakan Metode User-Base Collaborative Filtering Sri Sutjiningtyas; Hernawati; Alma Arofa Dharmawan
Bulletin of Information Technology (BIT) Vol 3 No 2: Juni 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v3i2.288

Abstract

When shopping at an online store, customers are always confused by the number of products displayed in the catalog. As a solution, customers see testimonials and other user ratings to ensure that the product to be purchased is in accordance with what is displayed in the product catalog. User-base collaborative filtering is a recommendation method that uses rating data from users to generate recommendations. To create a recommendation system using this method, there are three steps that must be taken, namely, first calculating the rating distance between users using the Euclidean distance equation, second calculating the similarity between active users and other users based on Euclidean distance calculations, and third calculating predictions. rating, which is to transfer the similarity value to the user rating value and then add up all the multiplication values. The final result of the prediction calculation is the five highest recommendation values which will then be processed by the system in such a way as to produce recommendations for shoes products that are displayed to active users as product recommendations. With this recommendation system, it is hoped that it will further increase consumer convenience when shopping at online stores
Pembangkitan Kunci Beaufort Cipher Dengan Teknik Blum-blum Shub pada Pengamanan Citra Digital Eferoni Ndruru; Taronisokhi Zebua
Bulletin of Information Technology (BIT) Vol 3 No 2: Juni 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v3i2.302

Abstract

Data security is not only due to the complexity of the algorithms used, but one of the most important factors is the security of the keys used. One of the most popular data that needs to be backed up today is digital images. However, these days, the algorithms used to back up data are often attacked. This is because the structure of the key formations used is still weak. One of the data security algorithms that form a simple key is the Beaufort cipher. It relies on the duplication of key characters to form the key for each protected element. Key generators based on blum-blum shub technology can generate very random and difficult-to-guess keys, so the strength of the keys you use can enhance the resilience of protected data. Keys generated based on blum-blum shub technology will later be used in the process of encrypting and decrypting pixel values in digital images.

Page 2 of 2 | Total Record : 12

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