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Journal : The IJICS (International Journal of Informatics and Computer Science)

Performance Comparison Analysis of the Elias Delta Code Algorithm with the Even Rodeh Code Algorithm for Compressing Image Files Elvia Hariska; Ega Yuliani; Surya Darma Nasution
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 1 (2021): March 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i1.2888

Abstract

A file or files have a large size, especially an image file. So that it can affect a storage memory and also mess in the speed of data transmission. If an image file has a large capacity it can affect the sending process. So that the sending process has two possibilities, namely the image file sent will require a long process or the image file will experience failure in sending because the storage size exceeds the maximum limit. This problem can be overcome by compressing the data. Data compression can reduce the size of data storage on both internal and external memory, speeding up data transmission due to smaller storage sizes. Data compression has several algorithms that can be used. In this research, the writer will compare the performance of Elias Delta Code algorithm with even Rodeh Code algorithm. Thus obtaining which algorithm is the most efficient used for the image file compression process.
Data Compression Using Stout Codes Surya Darma Nasution
The IJICS (International Journal of Informatics and Computer Science) Vol 3, No 1 (2019): March 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.479 KB) | DOI: 10.30865/ijics.v3i1.1362

Abstract

The need for data compression is now very important because it is affected by human nature that tends to collect data and also influenced by the need for a process for fast data transfer because the data size becomes smaller. Now many compression algorithms can be used, one of which is the stout codes algorithm. how the stout code algorithm works by encoding characters that often appear with smaller codes than characters with fewer occurrences. The results of data compression in the form of text with the algorithm of the stout code algorithm is the size of the text data becomes smaller with a compression ratio 60% and space saving 40%.
Comparison Analysis with Huffman Algorithm and Goldbach Codes Algorithm in File Compression Text Using the Method Exponential Comparison Abu Sani Tanjung; Surya Darma Nasution
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 1 (2020): March 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (201.25 KB) | DOI: 10.30865/ijics.v4i1.1387

Abstract

With the development of technology at this time many people know about compression. In simple compression is a process to shrink the file from its original size. At this time compression applications that are often used are WinZip, WinRar, and 7-Zip, namely with the aim of compressing documents and saving space on memory or data transmission. Compressed data can be in the form of images, audio, video and text. The use of the Huffman algorithm and the Goldbach Codes algorithm in compressing text files is intended to provide enormous benefits in the sending and storage process and requires less memory space compared to uncompressed text. The algorithm starts by providing a string of inputs as input, how to produce an algorithm output in the form of a binary string or code that translates each input string, so that the string has a small number of bits compared to strings that are not compressed. Thus, the problem is how to obtain the code with sorted characters and frequency tables as input and shorter binary code as output. In applying the Huffman algorithm and the Goldbach Codes algorithm in compressing text files is very good, the results were not reduced from the original file or there was no reduction
Application Of Weight Sum Model (WSM) In Determining Special Allocation Funds Recipients Dikki Handoko; Mesran Mesran; Surya Darma Nasution; Yuhandri Yuhandri; Heri Nurdiyanto
The IJICS (International Journal of Informatics and Computer Science) Vol 1, No 2 (2017): September 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (461.472 KB) | DOI: 10.30865/ijics.v1i2.528

Abstract

In the management of education is not uncommon educational institutions sometimes receive sources of funds from outside, one of which comes from the Department of Education in the implementation of its duty to provide one allocation of funds called Special Allocation Fund (DAK). This assistance is from APBN revenues to areas devoted to schools to help fund special activities such as the addition or improvement of school facilities and infrastructure. The application of this special allocation grantee needs to use a Decision Support System (CMS) to allow decisions to be generated in favor of the DAK beneficiary. In the application of SPK required MCDM method, the Weight Sum Model (WSM), which is a simple method and able to generate ranking from the proposer alternatives in a special allocation fund.
Co-Authors Abdul Halim Lubis Abdul Halim Lubis Abdul Karim Abdul Khair Tarigan Abu Sani Tanjung Afriany, Joli Ahmad Qorib Alwin Fau Amir Maniur Silitonga Andsyah Putera Utama Siahaan Bister Purba Cici Mulya Sari Daulay, Nur Hasanah Depika, Dwi Ayu Dikki Handoko Dito Putro Utomo Efori Buulolo Ega Yuliani Elvia Hariska Erna Verawati Ervina, Nina Fadlina Fince Tinus Waruwu Fitri Ruth Diani Br Simangunsong Fitri, Juli Guidio Leonarde Ginting Halimah Ani Harika Fitri Sinurat Hasibuan, Nelly Agustina Hikma Widayu Hotmoko Tumanggor Hutabarat, Sumiaty Imam Saputra Imam Saputra Imam Saputra Irliansyah, Muhammad Rio Joshua Feliex D. Sirait Kurnia Ulfa Maharani Maharani, Maharani Mardiana Haloho Mesran, Mesran Muhammad Syahrizal Muhammad Wirza Pratama Agatmadja Murdani Murdani, Murdani Natalia Silalahi Natalia Silalahi Natalia Silalahi, Natalia Nelly Astuti Hasibuan Nilmah Nilmah Nurdiyanto, Heri Nurma Ningsih Pane, Latifah Hanum Pane, Latifah Hanum Pramadi, Agus Adi Pratiwi, Rizka Dwi Puji Lestari Purba, Bister Putri Ramadhani Putri Ramadhani Rian Syahputra Rivalri Kristianto Hondro Rizky, Nadia Fariza Ronda Deli Sianturi S Sunaryo Saidi Ramadan Siregar Saparuddin Siregar Sari, Tetti Purnama Sari, Tetti Purnama Sianipar, Fitri Nur Indah Sari Sinta M. Panjaitan Sirait, Joshua Feliex D. Siti Nurhabibah Hutagalung Sri Wahyuni Sri Wanti Nasution Suginam Suginam Sukma Hakiki Silitonga Sunaryo, S Sutiksno, Dian Utami Syukur Novertiani Gulo Tari, Ratiya Taronisokhi Zebua Tri Handa Mirza Ulfa, Kurnia Vify Ernanda William Ramdhan Yuhandri Yuhandri, Yuhandri