Telemedicine is commonly used to check or diagnose patients from a long distance. Its application is often combined with sensors as needed, but for delivery, a cryptography algorithm is needed so the data sent safely, illegible, and can not be changed by unauthorized people. Besides that, the algorithm must be light, fast and use less power. In this study, a comparison of the Data Encryption Standard (DES) and Advanced Encryption Standard (AES) algorithms will be implemented in the encryption module. Data from the sensor encrypted and sent to the server. The time and power consumption by DES will be compared with AES. From this research, we can conclude that the encryption time of AES is faster than DES. The average difference speed is 33413 microseconds. Then the power consumption by AES and DES does not have any significant difference, and the addition of sensors causes additional power as well.

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In cryptocurrency, a block is a record of new transactions that could mean the location of cryptocurrency, medical data, or even voting records. Once each block is completed it's added to the chain, creating a chain of blocks: a blockchain. Because cryptocurrencies are encrypted, processing any transactions means solving complicated math problems using specified algorithm like SHA256 and Scrypt. People who solve these equations are rewarded with cryptocurrency in a process called mining. In this study the authors will find out the comparison of SHA256 and Scrypt to work on the blockchain. To find out the comparison between SHA256 and Scrypt some test will be done in this research. The test were given to both algorithm on some test System to observe which algorithm that has highest probability in finding new block. the results of the tests done in this paper show that Scrypt is much slower to hash than SHA256 but the Scrypt algorithm has greater chance to find a new block.

The minimum spanning tree can be used to solve the problems in the graph. An example of a graph problem can be found in a building's electrical network.This project discusses the analysis of Kruskal algorithm on the building plan. The building plan that has been obtained is then done by mapping with switches and socket as nodes and cables as edges. After testing the obtained data, it can be concluded that the Kruskal algorithm can be used to determine the minimum spanning tree.

Until now there are no system that helps determine candidates who are eligible to receive the Sandjojo Foundation scholarship at Soegijapranata Catholic University. Therefore, scholarship recipients are sometimes not on target. This research can help solve problems by using the Naive Bayes algorithm as a medium for decision makers with criteria such as based on the student's GPA, the total income of parents, and must be an active student in the organization. Using previous registrant data, the Naive Bayes algorithm can study the data for each of the criteria entered to determine whether applicants qualify or not to receive scholarships from the Sandjojo Foundation. This research was made using a web-based application and has been tested four (4) times with a variety of test and training data, with an accuracy of around 50% to 65% and a time of less than three (3) seconds..