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Steganography technique is a technique to hide data or information into other media such as digital images, text, sound, or video. One of the simplest methods of Steganography in the concept of Steganography is the Least Significant Bit. The Least Significant Bit (LSB) method hides the message by inserting the message at the lower or rightmost bits in the cover work file as a medium to hide the message. Caesar Cipher is one method that replaces each letter in the plaintext with letters that are at odds with certain numbers in the alphabet. Columnar transposition Cipher is one method in which messages are written in rows of a specified length, then are read column by column in the order of reading based on a keyword. The message is inserted into the cover image with the target pixel determination to be inserted based on the results of the Caesar Cipher process of the Columnar Transposition Cipher index to the random value of the Multiply With Carry Generator algorithm. The system implementation uses the C# programming language. The results of this study indicate that the implementation of a combination of Caesar Cipher, Columnar Transposition Cipher, and Multiply With Carry Generator can maintain the confidentiality, integrity, and security of data.

We present a client-server based smartphone application that act as a music input device with several outputs. The application allows user to interact with one phone as the input and the server and hear the sound from several connected smartphones that act as clients. Since transmitting data may require some time, we need to deal with transmission delay. Hence, we developed an algorithm to detect the delay and synchronize these values between all connected devices. By agreeing to a single delay value, we were able to minimize the difference in playtime between server and connected clients. We performed the test by building an Android-based smartphone application, installing it to multiple devices, and connecting them to a WiFi-based local area network. The test shows that our proposed system has successfully reduce the difference between devices and the connected devices were able to produce sounds with insignificant delay.

The current modern smartphones have been equipped with multiple sensors to add the functionality of the phones. Two of the most significant sensors, accelerometer and gyroscope, are intended to sense the movement and orientation of the phone. We performed research to evaluate the capability of these two sensors to detect a road’s quality, which can be used to generate a map of road quality in a certain area. The research is done by placing the mobile phone in a flat area inside the car and ride the car through roads with various quality, especially the damaged ones. We collected the value of both sensors when passing through hollow, bumpy, and cracked roads with several variations of speed. Based on our test, we conclude that this method is not effective in detecting the quality of the road since it is hard to differentiate the data from other behaviours such as accelerating, braking, turning, or even the car vibration. In this paper, we present the method used to perform this research and the collected data that may help our conclusion.

The availability of various string-matching algorithm raises the concern of finding the one with the best performance. With the growth of digital content, especially a text-based content, using an optimal algorithm is crucial to decrease the cost of performing a task. There are numerous studies using a specific content to evaluate the performance of ones algorithm. In this paper, we chose two commonly used string-matching algorithm; Reverse Colussi and Raita and compare the performance of these algorithm in finding text in Indonesian language. We specifically use Indonesian songs lyrics as our samples. To perform the test, we build and text-based song finder Android application. Our test result shows that Raita outperformed Reverse Colussi in most of the cases. This finding is due to the requirement of Reverse Colusi algoritm to have pre-processing step before performing the search.