Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : Scientific Journal of Informatics

Implementasi Kriptografi Kunci Publik dengan Algoritma RSA-CRT pada Aplikasi Instant Messaging Arief, Ashari; Saputra, Ragil
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.6115

Abstract

Instant messaging merupakan salah satu bentuk kemajuan teknologi komunikasi yang mempermudah penyampaian informasi. Saat ini, dengan semakin banyaknya pengguna aplikasi instant messaging berakibat pada dampak negatif berupa penyadapan data khususnya saat terjadi komunikasi yang bersifat rahasia. Algoritma RSA merupakan salah satu satu algoritma dalam kriptografi kunci publik. Pada proses enkripsi dan dekripsi digunakan kunci yang berbeda. Proses dekripsi algoritma RSA sering terjadi kendala karena ukuran kunci dekripsi yang relatif besar dapat memperlambat proses. Untuk mempercepat proses dekripsi, algoritma RSA dapat dimodifikasi dengan algoritma CRT (Chinese Remainder Theorem), sering disebut dengan Algoritma RSA-CRT. Implementasi algoritma kriptografi RSA-CRT pada aplikasi instant messaging pada panjang bit n mulai dari 56 bit sampai 88 bit, proses dekripsi RSA-CRT dua kali lebih cepat dibandingkan proses dekripsi RSA. 
Implementasi Kriptografi Kunci Publik dengan Algoritma RSA-CRT pada Aplikasi Instant Messaging Arief, Ashari; Saputra, Ragil
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.6115

Abstract

Instant messaging merupakan salah satu bentuk kemajuan teknologi komunikasi yang mempermudah penyampaian informasi. Saat ini, dengan semakin banyaknya pengguna aplikasi instant messaging berakibat pada dampak negatif berupa penyadapan data khususnya saat terjadi komunikasi yang bersifat rahasia. Algoritma RSA merupakan salah satu satu algoritma dalam kriptografi kunci publik. Pada proses enkripsi dan dekripsi digunakan kunci yang berbeda. Proses dekripsi algoritma RSA sering terjadi kendala karena ukuran kunci dekripsi yang relatif besar dapat memperlambat proses. Untuk mempercepat proses dekripsi, algoritma RSA dapat dimodifikasi dengan algoritma CRT (Chinese Remainder Theorem), sering disebut dengan Algoritma RSA-CRT. Implementasi algoritma kriptografi RSA-CRT pada aplikasi instant messaging pada panjang bit n mulai dari 56 bit sampai 88 bit, proses dekripsi RSA-CRT dua kali lebih cepat dibandingkan proses dekripsi RSA.
AUTOMATIC DETECTION OF MOTORCYCLE ON THE ROAD USING DIGITAL IMAGE PROCESSING sutikno, sutikno; Wibawa, Helmie Arif; Saputra, Ragil
Scientific Journal of Informatics Vol 6, No 2 (2019): November 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i2.20143

Abstract

Traffic accident is one of the causes of death in the world. One of them is traffic accidents on motorcyclist not wearing helmets. To overcome this problem, several researchers have developed detection system of motorcyclist not wear helmet. This system consists of motorcycle detection and motorcyclist head detection. On motorcycle detection, accuracy still needs to be improved. For this reason, this paper proposed motorcycle detection by adding image improvement processes that are enhancing contrast and adding object positioning features.The techniques proposed in this study are divided into 3 stages of image enhancement, feature extraction, and classification. The image enhancement stage consists of enhance contrast, convert RGB image to gray scale, background subtraction, convert gray scale image to binary, closing operation, and small object removal. The features used in this paper are the features of the object area, the circumference of the object, and the location of the object, while the method for classification process using back-propagation neural network and SVM. The proposed method resulted in an accuracy of 96.97%. Error occurs in all image test data not motorcycle objects detected as motorcycle objects. This error is caused because the pixel value between the objects in the image with the background color has a level of difference is too small, so it is detected as an object not a motorcycle.
Implementasi Kriptografi Kunci Publik dengan Algoritma RSA-CRT pada Aplikasi Instant Messaging Arief, Ashari; Saputra, Ragil
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.6115

Abstract

Instant messaging merupakan salah satu bentuk kemajuan teknologi komunikasi yang mempermudah penyampaian informasi. Saat ini, dengan semakin banyaknya pengguna aplikasi instant messaging berakibat pada dampak negatif berupa penyadapan data khususnya saat terjadi komunikasi yang bersifat rahasia. Algoritma RSA merupakan salah satu satu algoritma dalam kriptografi kunci publik. Pada proses enkripsi dan dekripsi digunakan kunci yang berbeda. Proses dekripsi algoritma RSA sering terjadi kendala karena ukuran kunci dekripsi yang relatif besar dapat memperlambat proses. Untuk mempercepat proses dekripsi, algoritma RSA dapat dimodifikasi dengan algoritma CRT (Chinese Remainder Theorem), sering disebut dengan Algoritma RSA-CRT. Implementasi algoritma kriptografi RSA-CRT pada aplikasi instant messaging pada panjang bit n mulai dari 56 bit sampai 88 bit, proses dekripsi RSA-CRT dua kali lebih cepat dibandingkan proses dekripsi RSA. 
Automatic Detection of Motorcycle on the Road using Digital Image Processing sutikno, sutikno; Wibawa, Helmie Arif; Saputra, Ragil
Scientific Journal of Informatics Vol 6, No 2 (2019): November 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i2.20143

Abstract

Traffic accident is one of the causes of death in the world. One of them is traffic accidents on motorcyclist not wearing helmets. To overcome this problem, several researchers have developed detection system of motorcyclist not wear helmet. This system consists of motorcycle detection and motorcyclist head detection. On motorcycle detection, accuracy still needs to be improved. For this reason, this paper proposed motorcycle detection by adding image improvement processes that are enhancing contrast and adding object positioning features.The techniques proposed in this study are divided into 3 stages of image enhancement, feature extraction, and classification. The image enhancement stage consists of enhance contrast, convert RGB image to gray scale, background subtraction, convert gray scale image to binary, closing operation, and small object removal. The features used in this paper are the features of the object area, the circumference of the object, and the location of the object, while the method for classification process using back-propagation neural network and SVM. The proposed method resulted in an accuracy of 96.97%. Error occurs in all image test data not motorcycle objects detected as motorcycle objects. This error is caused because the pixel value between the objects in the image with the background color has a level of difference is too small, so it is detected as an object not a motorcycle.