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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Eksplora Informatika Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Ilmiah Media Sisfo KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Basic and Applied Science Jurnal Teknisi Jurnal Pengabdian Masyarakat IPTEK Jurnal ABDIMAS Budi Darma Jurnal Sains dan Teknologi Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal of Informatics, Electrical and Electronics Engineering Indonesian Journal of Education And Computer Science SmartComp Bulletin of Artificial Intelligence KETIK : Jurnal Informatika ORAHUA : Jurnal Pengabdian Kepada Masyarakat International Journal of Informatics and Data Science
Rian Syahputra
Universitas Budi Darma, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Pendas : Jurnah Ilmiah Pendidikan Dasar

 1 
ANALISA PENERAPAN ALGORITMA GOLDBACH CODES DAN METODE SHANON-FANO PADA KOMPRESI FILE GAMBAR Raymond David Simaremare; Sunandar, Hery; Syahputra, Rian
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 04 (2024): Volume 09, Nomor 04, Desember 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i04.18196

Abstract

In the modern digital era, managing image file sizes is crucial, particularly for devices with limited storage capacity. Images typically have large file sizes due to the extensive amount of color and detail information they contain, which can complicate storage and transmission. To address this issue, data compression techniques are essential for reducing file sizes without significantly sacrificing image quality, especially for images captured by DSLR cameras. This study compares two compression algorithms, Goldbach Codes and Shanon-Fano, to evaluate their effectiveness in compressing *.JPG images. Analysis using Measurement of Performance Expressional (MPE) reveals that Goldbach Codes has a higher priority decision value (7.976) compared to Shanon-Fano (7.868). This indicates that Goldbach Codes is more efficient in image compression, providing a better compression ratio and smaller space savings. In other words, Goldbach Codes proves to be superior in reducing image file sizes with greater speed and effectiveness compared to Shanon-Fano. These findings are significant for applications requiring high-quality image compression in a more efficient and space-saving format.
PENERAPAN ALGORITMA PREFIX CODE DALAM FILE DATABASE MySQL Samudra, Hikmah Abdul Aziz; Nadeak, Berto; Syahputra, Rian
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 4 (2024): Volume 09 No. 04 Desember 2024 In Press
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i4.18492

Abstract

In today's era, technological advancements have led to rapid progress, particularly in storage media that produce crucial data and information. However, the available space for data storage is limited, and not everyone has access to high-speed internet. Therefore, transferring large amounts of data over the internet presents its own challenges. The speed of data transfer is essential for the exchange of information, especially textual data. Data compression is used to reduce the size of data by encoding information using bits or other carrier units that do not represent unencoded data within a specific coding system. MySQL databases are widely used for data management, but they face limitations in file size capacity and require fast internet access to store large amounts of data. The application of the prefix code algorithm for compressing data in MySQL database files can reduce file size without losing information, thus optimizing storage space utilization. The prefix code algorithm encodes each character of a message or data with a shorter code while preserving the information content, implemented through application design using Microsoft Visual Studio 2008. Previous research has shown the effectiveness of the prefix code algorithm in data compression, leading to improved performance and ease of application. Future research could further explore the aspects of data compression methods and their practical implications. The results of the data compression implementation using the prefix code algorithm on a MySQL file with C1 code achieved a 72% compression ratio.
Co-Authors Afifa, Rizky Maulidya afrisawati, Afrisawati Ahmad Safitra Alwin Fau Andreas Gerhard Simorangkir Annisah Annisah Atsauri, Muhammad Riki Bister Purba Bu'ulolo, Efori Cristella Sitinjak Cut Try Utari, Cut Try Dalimunthe, Aulia Rahman Dimas Hadityo Ramadan Efori Buulolo Fristi Riandari Ginting, Ramadhanu Harahap, Ahmad Indra Hery Sunandar Hukendik Hutabarat Lisdawati Simangunsong Mesran, Mesran Nelly Astuti Hasibuan Pristiwanto Pristiwanto, Pristiwanto Purba, Bister Purba, Rohan Kristini Raymond David Simaremare Rivalri Kristianto Hondro Rizky, TM Irsan Samudra, Hikmah Abdul Aziz Simangunsong, Lisdawati Simorangkir, Elsya Sabrina Asmita Surya Darma Nasution Syechu, Weno T. Razeki Aditya Syahputra USWATUN HASANAH