Academic transcripts are a summary of a student's high-value achievement score and must be guaranteed in their authenticity, as well as the source from which they are issued.  It was found that some universities were using technology to falsify transcripts. An example of a university in yogyakarta's special region that falsified academic transcripts. Several diplomas from makassar have been forged so that a civil servant can pass his exam, whereas in banda aceh evidence of equipment for creating fake diplomas has been found. This study seeks to prevent transcripts from being modified or falsified by locking data into student photos using blowfish and least significant bit algorithms. The purpose of this study is to keep transcripts from being  easily  modified or falsified. The methods of this study are data collection (student code data, gpa value, photo), encryption with blowfish, conversion of encryption results into binary form, insertion of binary values into the least significant bit method into photos, capture of encryption values from least significant bit photos, and returning messages encrypted with blowfish. In this study, the results show that this system was able to secure data and enter information into student photos with an accuracy of 100% after testing on 60 transcript value data. We can conclude that the application of blowfish and least significant bit algorithms to secure data and enter data into student photos is extremely effective in transkrip value.

Y2K Batik is an SME (Small and Medium Enterprise) engaged in batik. Y2K Batik produces and sells beach wear with various motifs. One of the important things in business is inventory of merchandise, inventory of merchandise is a factor in determining the success of a trading company to achieve its goals, because the goods sold affect the level of income to increase company profits. With these considerations, it is necessary to analyze the production of beach wear for the availability of merchandise in fulfilling customer orders. Based on the above background, the scope of the problem in this study is master data collection obtained from records of selling beach batik cloth periodically from time to time. By utilizing the existing data and applying certain methods, a sales forecasting prediction can be made using the Double exponential Smoothing method. From the results of calculations and testing of forecasting data on the Mandala Motif Beach Fabric variable with the most optimal value using = 0.9 of 2127 with an error value of 19.46% and an accuracy rate of 80.54% (Good). The Canting Motif Beach Wear variable with the most optimal value using = 0.9 of 3174 with an error value of 3.61% and an accuracy rate of 96.39% (Very Good). Double Exponential Smoothing is the most widely used method to determine the trend equation of the second smoothing data through a smoothing process. The programming language uses Microsoft Visual Studio 2013 and the DBMS uses Microsoft SQL Server 2012. The purpose of this research is to create a system that can simplify the process of analyzing the production of beach wear in order to meet the availability of goods ordered by customers.