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: Analisis dan Implementasi Algoritme Advanced Encryption Standard (AES) Secara Paralel
Abstrak: AES is an algorithm for symmetric key cryptography. AES is expected to replace Data Encryption Standard (DES) as a recognized standard for various applications. The complexity of AES encryption and decryption process is O(n), it has fast computation in both encryption and decryption but its execution time will increase as the input data increase. In this research the AES algorithm would be parallelized by dividing the data to each processor (domain decomposition) and by dividing the constituent computing of AES to each processor (functional decomposition), and their performance would be analyzed. Parallel implementation of AES algorithm uses Message Passing Interface (MPI). The objectives of this research are to measure and analyze the performance of parallel AES algorithm using performance metrics. The best result of the parallel AES algorithm in this research is in the decryption process using domain decomposition method. A file with 118.525 MB size has 127.227 seconds decryption execution time using sequential AES algorithm, whereas using 16 processors, its decryption execution time is 34.896 seconds. The speedup is 3.646 and the efficiency is 0.228. This result is not good enough because the speedup is not equal to the number of processors used and the efficiency is below one. This is because the AES decryption in this research has a fast computational process, yet it has a big overhead for data communication. The worst result of the parallel AES algorithm is in the decryption process using functional decomposition method. Using the same file and three processors, the decryption execution time is 168.089 seconds. The speedup is 0.755 and the efficiency is 0.252. This is due to the fact that computing process decomposition is not equally distributed among the processes and the use of MPI blocking communication routine which cause a big overhead for data communication. Both parallel algorithms used in this research are not cost-optimal
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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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