The rapid advancement of digital communication technologies has heightened the demand for robust data security methods, particularly for safeguarding sensitive information against cyber threats. Steganography, the art of concealing data within digital media, offers an effective means of securing communication by masking the very existence of hidden messages. This study evaluates the Two Least Significant Bits (2LSB) method as an enhancement to the conventional Least Significant Bit (LSB) technique, focusing on improving storage capacity and resistance to detection. The research employs a quantitative methodology, conducting experiments to analyze the impact of data embedding on image quality using metrics such as Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). Data embedding was tested on images of varying sizes and resolutions, with results compared before and after embedding. The study also evaluates the system’s tolerance to compression and robustness against steganalysis attacks, such as histogram analysis and noise detection. The results demonstrate that the 2LSB method significantly enhances storage capacity while maintaining high image quality. For instance, PSNR values remained above 40 dB across all tested images, indicating minimal visual distortion. The method also showed resilience to lossless compression formats such as PNG, with minimal impact on data integrity. However, lossy compression formats like JPEG posed challenges in maintaining the embedded data. The MSE values before and after embedding were minor, ensuring that the hidden data remained undetectable under standard analysis. This research contributes to developing more efficient and secure steganography techniques, providing practical applications in protecting sensitive data during transmission. The findings underline the 2LSB method's potential as a viable solution for digital security, balancing enhanced storage capacity with robust resistance to detection. Future work should further explore integrating advanced encryption with 2LSB to strengthen data protection in diverse digital environments

The AWD Mranggen store is a store that is engaged in the sale of bags, belts, shoes with sales developments increasing from year to year, with fairly tight business competition, the AWD Mranggen store must be able to calculate the estimated number of items to be purchased based on previous sales data, the prediction is very influential on the decision to determine the number of items to be provided by the AWD Mranggen Store for the next sales period data. Inventory of goods that are not right cause some losses in terms of time and also costs, it is necessary to have a forecasting system. Forecasting is a technique to identify a model that can be used to predict conditions in the future. By using the weight moving average method, it can be seen that the error value is more than smaller than other methods and the estimated results can be more precise so that it can help owners make decisions in carrying out inventory.

Di era digital ini persaingan bisnis semakin kompetitif, sehingga pelaku bisnis dituntut untuk melakukan evaluasi secara terus menerus. Dalam dunia bisnis saat ini, e-commerce merupakan kebutuhan untuk meningkatkan persaingan bisnis dan penjualan produk. Dalam penggunaan e-commerce, kegiatan jual beli dan pemasaran akan lebih mudah dan efisien dimana konsumen akan lebih mudah untuk membeli dan menjual barang yang diinginkan tanpa harus keluar rumah sehingga menunjukkan kemudahan bertransaksi, menekan biaya dan mempercepat proses transaksi. Penelitian ini bertujuan untuk membuat Desain Web E-Commerce Berbasis Blogspot Sebagai Media Promosi Butik Berkah Hijab Kendal. Diharapkan dengan adanya perancangan dan pengembangan blog e-commerce ini dapat membantu para pelaku usaha untuk memasarkan produknya secara lebih luas sehingga dapat meningkatkan penjualan dan mempermudah konsumen dalam bertransaksi khususnya di Butik Kendal Hijab Berkah.