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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Teknik Informatika UNIKA Santo Thomas KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Computer System and Informatics (JoSYC) INFOKUM JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Journal of Social Responsibility Projects by Higher Education Forum Jurnal Abdimas Bina Bangsa Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Bulletin of Data Science Ulead : Jurnal E-pengabdian Blend Sains Jurnal Teknik JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi
Hery Sunandar
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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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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.
ANALISIS PERBANDINGAN ALGORITMA LZW DENGAN LEVENSTHEIN PADA KOMPRESI FILE PPT Sihombing, Monalisa Dosma; Sunandar, Hery; Ulfa, Kurnia
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.v9i04.18266

Abstract

In today's digital era, ppt or pptx files are crucial for presentations or data processing in the professional world. Using pptx for presentations allows for a more organized and structured presentation according to the design. However, the size of pptx files can be quite large compared to other data, leading to storage wastage. Thus, compression is needed. When compressing pptx files, it is important to balance file size and content quality. Higher compression levels reduce file size but may affect file quality. Data compression is a technique used to reduce file or information size without compromising data quality or significance. In an age of abundant data, data compression is essential for saving storage space and speeding up information transfer. By eliminating redundancy and utilizing existing data patterns, data compression can create a more efficient and compact representation. The challenge arises as pptx file sizes tend to be larger than other data due to the extensive use of slides, which wastes storage and slows down data transfer. To address this issue, a data reduction technique or compression is needed. Compression aims to reduce data size to a smaller size, and the compression parameters obtained include the ratio of compression, compression ratio, and space saving.
Co-Authors Ahmad Rifai Azlan Damanik, Eka Christian Denni M Rajagukguk Erdina Daniati Simanjuntak Erna Erna Erna Erna, Erna Fazarul Sidik Fitri Afriani Lubis Ginting, Sakaria Efrata Gokma Lumbantoruan Guidio Leonarde Ginting Hatuaon, Anggiat Marhite Hutabara, Sumiaty Adelina Hutabarat, Sumiati Adelina Hutabarat, Sumiaty Adelina Ikwan Lubis Imam Saputra Kristian Siregar Kurniawan, Dodi Lemcia Hutajulu Lince Tomoria Sianturi Madani, Aji Thofiq Murdani Murdani, Murdani Nasution, Zuhria Nelly Astuti Hasibuan Pristiwanto Pristiwanto Pristiwanto, Pristiwanto Putri Ramadani Raymond David Simaremare Rian Syahputra Rifai, Ahmad Riswan Limbong Rivalri Kristianto Hondro Saidi Ramadan Siregar Saidi Ramadan Siregar Sembiring, Abdul Sani Senanti Alas Sihombing, Monalisa Dosma Sinaga, Tuty Handa Suginam Sumiati Adelina Hutabarat Tiwi Widiastuti Ulfa, Kurnia Wibisono, Yogi Yasir Hasan Yasir Hasan Yunita, Shela Dian Yusman Zalukhu Zalukhu, Yusman Zekson Arizona Matondang