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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

Pengaman File Video Menggunakan Algoritma Merkle Hellman Knapsack Soeb Aripin; Muhammad Syahrizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.2039

Abstract

The issue of security and confidentiality is one important aspect of a message, data or information. In this case it is closely related to how important the message, data, or information is sent and received by parties or people concerned, whether the message, data, or information is still authenticity. At present there are many conveniences in downloading and uploading videos that make videos vulnerable to hijacking, especially if the video is an important and highly confidential video, so an application that is able to encode this important video is needed so that its security can be protected from unauthorized people, except for people who are entitled to. The security technique used by the author in this study uses cryptographic technology. To be able to do well, we need an algorithm for encryption and decryption. The algorithm used here is the Merkle Hellman Algorithm. This Algortman can be used on a video file is something that needs to be considered in maintaining the confidentiality of the data itself, especially if the video file can only be known by certain parties. There are many ways of approach taken to realize the confidentiality of the data starting from security or protection. physical to the form of a mathematical-based algorithm that makes the data illegible. So that the data in it cannot be easily known by unauthorized parties and only the intended video file recipient is able to decipher the video fileĀ 
PENERAPAN METODE RETINEX UNTUK MENINGKATKAN KECERAHAN CITRA PADA HASIL SCREENSHOT Soeb Aripin; Guidio Leonarde Ginting; Natalia Silalahi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i1.319

Abstract

Improved quality is required because often the image tested has poor quality, one of which is image enhancement using Retinex method where Retinex is a technique used to get a new image with better contrast than contrast from its original image.There are four main stages to be done To obtain a new image up to the process of displaying image statistics, ie the process of displaying the initial image in the window, improving the image contrast, displaying the image histogram and display the image statistics. Quality improvement is required because the image on the screenshot has poor quality, By improving image quality using Retinex method. This Retinex method is a method used to get a new image with better contrast than the contrast of its original image.
Perbaikan Tingkat Kekaburan Gambar Akibat Pembesaran Pada Hasil Creenshot Dengan Metode Unsharp Mask Soeb Aripin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i2.1096

Abstract

Screenshot is a display image taken from a monitor screen such as computers, tablet PCs and smartphones. The image results from the screenshot have a low level of sharpness and smoothness. If this image is enlarged, the quality becomes low like blur. To improve the quality of the image so that it is not blurred when enlarged, then the process of sharpening and smoothing. This process will improve the quality of the image to be better. The image that is processed in this research is the image screenshot. Furthermore, the image is processed using digital image processing using Matlab software. The processing stages are crop, image enhancement and unsharp mask. The image of the image enhancement and unsharp mask results are collaborated to increase and increase the sharpness and smoothness of the image in the results of the screenshot image being tested. The results of testing on this method with better sharpness quality with a comparison of images using the mean square error of 0.0627.2404%. The image of the test results can be concluded that the value of the pixels sought has a larger image size than the original and has a resolution greater than the initial image and sharpness and smoothness so that the unsharp mask method can improve the sharpness and smoothness of the image. But the changes produced using the method have not been significant enough.