MEANS (Media Informasi Analisa dan Sistem)

Perbandingan Kinerja Algoritma Prefix Code C2 dan LZW Dalam Mengkompresi File Gambar

Kevin Raihan — 2024-12-22

Data compression plays a crucial role in reducing file sizes, particularly for image files, to conserve storage space and accelerate data transmission. This study eval_uates the performance of two widely-used compression algorithms: Prefix Code C2 and LZW, focusing on their effectiveness in compressing image files. The research involves a comparative analysis of the Prefix Code C2 and LZW algorithms based on several performance metrics, such as file size post-compression, compression speed, and decompression speed. The experimental results highlight that each algorithm has specific strengths and weaknesses depending on the image type and characteristics. The Prefix Code C2 algorithm demonstrates superior compression ratios for images with high levels of repetition, whereas the LZW algorithm outperforms in both compression and decompression speed for images with more intricate color variations. These insights can assist in selecting the most suitable compression algorithm for different types of image files.

Kombinasi Algoritma K-Means Dan DBSCAN Dalam Identifikasi Anomali Pada Data Log Server

Rico Puji Irawan — 2024-12-22

Detecting anomalies in server log data is a crucial element of information system management and security. This research seeks to develop a method for identifying anomalies by integrating two well-known clustering algorithms: K-Means and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). K-Means is effective at partitioning data into clusters based on average distances, while DBSCAN excels at detecting anomalies or noise in datasets without a distinct cluster structure. In this study, K-Means is employed for initial clustering of server log data to reveal general patterns and group similar data. The results from K-Means clustering are then examined using DBSCAN to detect anomalies more accurately. Combining these two algorithms aims to enhance anomaly detection accuracy by leveraging the strengths of each approach. The research was performed on a server log dataset encompassing various server activities. The effectiveness of this combined approach was assessed by comparing its anomaly detection performance against the individual K-Means and DBSCAN methods, as well as other anomaly detection techniques. Experimental results indicate that the K-Means and DBSCAN combination successfully improves anomaly detection rates by reducing both false positives and false negatives compared to using each algorithm independently.

Penerapan Algoritma Salsa20 Untuk Mengamankan Sandi Akun Virtual

Muhammad Abdul Rasyid Hasibuan — 2024-12-22

The application of the SALSA20 algorithm in securing virtual account passwords aims to increase the security of users' personal data in an increasingly complex digital era. The SALSA20 algorithm, which is known as one of the efficient and secure stream cipher algorithms, has superior characteristics in terms of speed and resistance to cryptanalysis attacks. This research explores the implementation of SALSA20 in a virtual account password security system, testing the performance of this algorithm under various conditions and comparing it with other commonly used cryptographic algorithms, such as AES (Advanced Encryption Standard). The research results show that SALSA20 is able to provide a high level of security with a faster execution time compared to several other algorithms. Testing includes analysis of encryption and decryption speed, system resource usage, as well as resistance to various types of attacks, such as brute force and differential analysis attacks. In addition, the integration of SALSA20 in real applications shows that this algorithm is easy to implement and provides significant protection against attempts to steal user passwords and personal data.

Analisa Perbandingan Algoritma Goldbach dan LZW pada File WAV

Muhammad Bima Arya Irawan — 2024-12-22

WAV stands for Waveform Audio Format, an audio file standard developed by Microsoft and IBM. It is a variant of the RIFF bitstream format, similar to the IFF and AIFF formats used on Amiga and Macintosh systems. Both WAV and AIFF are compatible with Windows and Macintosh platforms. Although WAV files can contain compressed audio, they are typically used for uncompressed audio. The WAV format is part of Microsoft's RIFF specification for multimedia file storage. Compression is the process of reducing file size without significantly compromising data quality. The effectiveness of compression is eval_uated based on factors such as compression time, memory usage, output quality, and the final file format. This research suggests that compressing audio files can help optimize hard disk space. Various compression algorithms are available, and reducing audio file size can enhance storage efficiency.

Rancang Sistem Informasi Aplikasi Praktikum Simulasi Perbankan

Muhamad Sidik — 2024-12-22

Currently, the learning process in the field of banking predominantly relies on approaches, focusing on the delivery of theoretical concepts with minimal practical application through personal computer use. As a result, students lack real-world experience related to the operational aspects of banking systems as they occur in the workplace. Therefore, this study aims to design a banking system that integrates various key components of banking activities, with adjustments according to the specific functions of each component