<![CDATA[Data security is an essential aspect of information technology development, particularly in the exchange and distribution of digital information. Digital images, especially personal photographs, are vulnerable to misuse by unauthorized parties. One technique that can be used to enhance information security in digital images is watermarking, which involves embedding specific information into an image as a means of data protection. The Chinese Remainder Theorem (CRT) is one of the methods that can be applied in the watermark embedding process. However, the application of this method may pose security risks if the embedding pattern can be identified by unauthorized parties. Therefore, modifications are needed to improve the security of the watermark embedding process. This study aims to modify the CRT method by integrating the Blum Blum Shub Generator (BBS) algorithm to randomize data embedding locations in digital images. The BBS algorithm is used to generate random numbers that serve as the basis for determining pixel positions where the watermark is embedded. This approach makes the embedding locations more difficult to predict, thereby reducing the risk of watermark detection and extraction by unauthorized parties. This modification is expected to enhance watermark embedding security while preserving the visual imperceptibility of the image, ensuring that the changes are not easily noticeable to the naked eye. Thus, the combination of the CRT method and the BBS algorithm is expected to provide an alternative approach to improving the protection of information embedded in digital images]]>
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