Purpose: Create an application called FiBuSI (Find Business and Stock Investment) using the k-means algorithm and binary search for data search features. This application is intended for entrepreneurs and investors where they can interact with each other to build a joint business.Method: Using the RAD (Rapid Application Development) Method which focuses on system testing based on user experience related to Blackbox Testing using the Katalon Studio tools for testing functions on the FiBuSI application.Result: Based on the results of testing the FiBuSI application which focuses on the success of application functions and algorithm implementation, that each application function is successfully executed (PASSED) based on testing using the Katalon Studio tools. Meanwhile, testing the k-means algorithm (data filter) and binary search (search for letter data) was also successfully carried out by testing it directly by the user on the FiBuSI application and also using the results from the Katalon Studio tools.State of the art: Based on several studies that have been done previously related to the use of the k-means algorithm and binary search that this algorithm is carried out on 2 different features but in 1 application for business data search. In concept, the FiBuSI application focuses on bringing together entrepreneurs and investors in one platform.
Copyright is a direct right granted to the creator of a work in any form that is real and recognized in accordance with the provisions of the legislation in force in the area. Copyright infringement is very detrimental to the creators of works who have tried hard in creating a work. The steganography technique can be a solution to insert hidden messages into digital data. In writing this scientific research journal, an application was made to give a hidden message sign to an image. The goal is to protect copyrighted works from being easily recognized by irresponsible parties. Making this simple application using MATLAB R2021a software. By using the Least Significant Bit [LSB] method, what happens is that the data bits will be inserted into the digital image bit by changing the last bit. The result is that the image inserted with the message does not experience significant changes, but when the image undergoes an extraction process, the inserted message will appear. The results of the Least Significant Bit [LSB] method in this study are successful in inserting a .txt file into the hidden original image so that it does not change the visualization of the image but only changes the image size from 56.9KB to 732KB
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