Judul: Acceleration of Advanced Encryption
Standard Algorithm Use Dual Graphics Processing Unit
Abstrak: Seiring dengan pesatnya perkembangan teknologi, kebutuhan akan keamanan data dalam jumlah yang besar semakin meningkat. Dalam kriptografi, salah satu algoritme yang dapat diandalkan adalah AES. Algoritme ini dapat mengenkripsi dan mendekripsi suatu data sehingga informasi di dalamnya tidak dapat diakses secara bebas oleh pihak yang tidak berkepentingan. AES memiliki kompleksitas O(n) pada proses enkripsi dan dekripsinya. Semakin besar jumlah data yang diperlukan semakin lama waktu eksekusinya. Oleh karena itu diperlukan pemrograman paralel menggunakan GPU untuk memecahkan masalah ini. Penelitian ini menerapkan algoritme AES pada paralel menggunakan dual GPU dan membandingkan kinerja dengan paralel single GPU. Hasil yang diperoleh menunjukkan bahwa untuk data dengan ukuran di bawah 32 MB dengan penggunaan dual GPU menjadikan waktu eksekusi menjadi lebih lama. Sebaliknya, semakin besar ukuran datanya waktu eksekusi menjadi lebih cepat. Speedup maksimal diperoleh saat menggunakan data 512 MB. Nilai speedup nya adalah 383 kali pada dual GPU dan 271 kali pada single GPU.
Keyword: AES, GPU, encryption, cryptography, parallel, speedup

Judul: Implementasi Algoritme Enkripsi Advanced Encryption Standard secara Paralel dengan GPU NVIDIA CUDA
Abstrak: Processor streaming architecture in GPU has provide general purpose computation which have its own potential to help CPU with its parallel computation capability. One example of supported processor streaming architecture is Fermi which is developed by NVIDIA. Furthermore, NVIDIA has developed its own software development kit namely CUDA, which can integrate many popular existing programming languanges such as C++ for GPU-based parallel computation. This research focus on the implementation of parallel AES algorithm with GPU and analyze the performance result of the implementation in two different NVIDIA devices, namely NVIDIA GeForce GT220 and NVIDIA Quadro 600. In general, the performance of parallel GPU computation is better than sequential computation for large data input. It is obtained that the maximum speedup of NVIDIA GeForce GT220 in 8 MB input is 89.3 with 180% efficiency. Higher speedup of 101.6 can be obtained by NVIDIA Quadro 600 with the same input size with around 100% efficiency.
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Judul: Insecticidal Activity of Essential Oils Leaves of Cinnamomum spp. (Lauraceae) against Crocidolomia pavonana and Their Phytotoxicity on Broccoli Seedlings
Abstrak: Essential oils from leaves of 13 species of Cinnamomum were tested for their insecticidal activity on the cabbage head caterpillar Crocidolomia pavonana with leaf immerse method. The results showed that the treatment with 1% (w/v) essential oils leaves of C. celebicum, C. multiflorum, C. sintoc, and C. verum caused 21.45, 93.65, 60.30, and 76.10% mortality, respectively. Based on the results of phytotoxicity and insecticidal activity tests, C. multiflorum oil was further tested at 6 concentration levels. In all treatments, larval mortality has occurred at 24 hours after treatment (HAT) and increased at 48 HAT. LC50 of C. multiflorum oil at 24 and 48 HAT was 0.504 and 0.396%, respectively. The treatment with C. multiflorum oil at ≤0.31% did not inhibit the development of C. pavonana larvae. Determination of the chemical constituents of Cinnamomum oils were carried out by gas chromatography-mass spectrometry (GCMS). Totally, 345 compounds were identified. Methyleugenol constituted the main component (49.4%) of leaf essential oil of C. multiflorum and was assumed to be responsible for the insecticidal activity of the oil against C. pavonana larvae. LC50 of pure methyleugenol obtained at 0.365% (48 HAT) and 0.363% (72 HAT). The results showed that C. multiflorum was more effective with LC50 value equivalent to methyleugenol content of 0.32% (24 HAT) and 0.24% (48 HAT).
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