This research was conducted with the aim of enhancing information security for employee salary data at PT Nusa Network Pratama through the application of steganography methods. Given the importance of salary confidentiality as part of the company’s sensitive information, a system is needed that can hide this data without being detected visually or digitally by unauthorised parties. The method used in this study is Least Significant Bit (LSB)-based steganography, a data-embedding technique that replaces the least significant bit of each pixel in a digital image. This approach was chosen for its ability to embed data without significantly affecting the visual quality of the image. The implementation process involved testing data embedding and extraction to ensure that salary data could be hidden and retrieved with high accuracy. The results of the study indicate that the LSB method can be effectively used to embed salary data into images without compromising the visual appearance of the image. The embedded data can be extracted with a 100% success rate, without any damage to the original data or the image file. Thus, the implementation of LSB steganography has proven to be feasible and secure as an alternative for distributing salary data internally within a corporate environment.
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