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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Informatik : Jurnal Ilmu Komputer
Radinal Setyadinsa
Universitas Pembangunan Nasional “Veteran” Jakarta
Computer Science & IT

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Hybrid Cryptosystem for Image Encryption Using Lorenz Attractor and Neural Network Optimization i Wayan Rangga Pinastawa; Radinal Setyadinsa; Ihsan Tri Marseno; Gybran Kalmando
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12876

Abstract

Image encryption is required to protect visual data from unauthorized access. This study proposes a hybrid image cryptosystem based on the Lorenz chaotic attractor combined with artificial neural network optimization for adaptive chaotic parameter generation. The proposed method applies chaotic pixel permutation and bidirectional diffusion using chained XOR and bit rotation operations to improve ciphertext randomness and differential attack resistance. Experiments were conducted on three categories of generated RGB images with a resolution of 1024×1024 pixels. Performance evaluation was carried out using entropy, correlation coefficient, NPCR, UACI, PSNR, SSIM, key sensitivity, key space, histogram analysis, and encryption time analysis. The experimental results show that both encryption methods achieved entropy values close to the theoretical maximum approx ≈7.9999 and correlation values near zero, indicating strong randomness and successful removal of spatial pixel relationships. The proposed system also achieved NPCR values of approximately 99.6% and UACI values close to 333%, demonstrating strong resistance against differential attacks. In addition, the decryption process successfully reconstructed the original images without information loss, producing infinite PSNR values and SSIM values of 1.0. The obtained key sensitivity values exceeding 99.6% and the approximate key space of 〖10〗^45 further indicate strong dependence on secret key precision and resistance against brute-force attacks. Overall, the proposed hybrid cryptosystem demonstrated strong statistical security, stable computational performance, and effective encryption capability for high-resolution RGB images.
Perancangan Aplikasi Mobile “ProtectU” untuk Pelaporan Kekerasan Seksual di Lingkungan Universitas Berbasis Android Studio Retno Dwi Cahyani; Mohammad Ravtayya Attaturk Maklin; Syaila Ananta Karenina; Salma Ashiila Rabbani; Aruni Intan Haifa Sumawidjaya; Radinal Setyadinsa
Informatik : Jurnal Ilmu Komputer Vol 20 No 1 (2024): April 2024
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v20i1.8150

Abstract

Perancangan aplikasi mobile “ProtectU” bertujuan untuk menyediakan platform pelaporan kekerasan seksual di lingkungan universitas yang efektif dan mudah diakses. Aplikasi ini dikembangkan berbasis Android Studio, dengan memanfaatkan teknologi mobile untuk meningkatkan keamanan dan kenyamanan mahasiswa. Fitur utama dari “ProtectU” meliputi berita pelecehan, bookmark berita, laporan korban, dan tampilan profile pada user. Desain antarmuka yang intuitif dan responsif dirancang untuk mempermudah pengguna dalam mengakses layanan yang tersedia. Melalui implementasi ini, diharapkan dapat tercipta lingkungan kampus yang lebih aman dan kondusif, serta mendorong kesadaran dan keberanian melaporkan kejadian kekerasan seksual. “ProtectU” diharapkan menjadi solusi yang signifikan dalam upaya pencegahan dan penanganan kasus kekerasan seksual di lingkungan Universitas.
Co-Authors Aruni Intan Haifa Sumawidjaya Gybran Kalmando i Wayan Rangga Pinastawa Ihsan Tri Marseno Mohammad Ravtayya Attaturk Maklin Retno Dwi Cahyani Salma Ashiila Rabbani Syaila Ananta Karenina