Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Ambidextrous : Journal of Innovation, Efficiency and Technology in Organization
Theo Hasri Pratama
Muhammadiyah University of North Sumatra
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementation Using the Least Significant Bit (LSB) and Pixel Value Differencing (PVD) Methods in Message Insertion in Digital Images Theo Hasri Pratama
Ambidextrous Journal of Innovation Efficiency and Technology in Organization Vol. 5 No. 02 (2026): Ambidextrous: Journal of Innovation, Efficiency and Technology in Organization
Publisher : Takaza Innovatix Labs Ltd.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61536/ambidextrous.v5i02.624

Abstract

The development of information technology increases the need for digital data protection against the risk of wiretapping, alteration, and unauthorized access. Steganography is one solution by hiding messages in digital images without significantly changing the visual appearance. This study aims to implement the Least Significant Bit (LSB) and Pixel Value Differencing (PVD) methods in the process of embedding and extracting SQL files in digital images and to compare the image quality and integrity of the resulting messages. This study uses an applied research type with a system implementation method. The research population is a digital image as a steganography medium, while the sample consists of 50 digital images in PNG and BMP formats and SQL files as secret messages. The research instrument is a web-based steganography application developed using Python and Streamlit. Data analysis was carried out through functional testing of the embedding and extraction processes, message integrity evaluation, and image quality measurement using Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). The results show that both methods produce high-quality stego images as indicated by high PSNR and low MSE values. The LSB method maintained message integrity throughout the test, while PVD still experienced character changes in some of the extracted results. It was concluded that the LSB method is more reliable than PVD for embedding SQL files into digital images because it is able to maintain image quality while preserving message integrity
Co-Authors