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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science)
Firman Telaumbanua
Universitas Budi Darma, Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Modifikasi Vigenere Cipher Dengan Pembangkit Kunci Blum Blum Shub Firman Telaumbanua; Taronisokhi Zebua
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2646

Abstract

Vigenere cipher is a symmetric key algorithm that uses alphabetic substitution by using these letters as plaintext and key letters that have comparable positions. Along with the development of human science, the weaknesses of the vigenere cipher were discovered. One way that can be done to overcome the weaknesses of the vigenere cipher above is to generate a more random key. This study describes how the procedure is carried out to modify the key generation used in the vigenere cipher algorithm. The key generation process is carried out based on the blum blum shub key generator, meaning that the key used in the encryption and decryption process is the key generated based on the blum blum shub key generator, so that the modification process carried out in generating the key can minimize key-breaking actions by other parties as well as This algorithm can be more optimal in securing data. The result of this research is to design an android-based data security application using the modified vigenere cipher method using the blum blum shub key generator. This application can be used to secure text data, so that it cannot be retrieved by other people. In addition, the application to be designed is easier to use in data security.Keywords: Security, Keys, Algorithm, Cryptography, Blum Blum Shup
Analysis of Online Learning Understanding Patterns at Budi Darma University Using the C5.0 Algorithm Firman Telaumbanua; Johanes Mario Purba; Dito Putro Utomo
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 2 (2021): July 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i2.3122

Abstract

Online learning is a learning process that is carried out without face to face, but at a distance that utilizes communication and information technology that utilizes the internet. The emergence of the online learning process provides considerable benefits, both for the manager of the information system and for students and students. Currently, the development of online learning is becoming popular among schools and universities. This is caused by the corona virus or what is often called Covid-19. Covid-19 is one of the viruses that first emerged and developed in China, especially in the city of Wuhan. Initially this virus only infects a few people, but in fact this virus can move places or can be transmitted through direct contact with the sufferer. This virus has infected the whole world so this is an international problem that must be addressed. Various efforts have been made, one of which is in the field of education. The closure of schools and colleges is an effort made to break the chain of development of COVID-19, so that the teaching and learning process is carried out online. In this study, an analysis of student satisfaction assessment will be carried out on the online learning process using the existing methods in data mining. Data mining has several algorithms that are used to solve these problems, one of which is the C5.0 algorithm. The result of this study is to find out the results of the satisfaction assessment of online learning during the Covid-19 pandemic
Co-Authors Dito Putro Utomo Johanes Mario Purba Taronisokhi Zebua