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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Bulletin of Artificial Intelligence
Hutagalung, Dendy Frans Gunawan
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Implementasi Algoritma LZY (Lempel Ziv Yabba) Dalam Mengkompresi File Illustrator Berekstensi *.Ai Hutagalung, Dendy Frans Gunawan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 7, No 1 (2024): Transformasi Komputasi Kuantum Untuk Percepatan Teknologi Baru
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v7i1.8037

Abstract

In design, the use of images and animation is very important to create a stronger message and attract the attention of the audience. Adobe Illustrator is a very popular vector graphic design program used by graphic designers, illustrators, and other creative professionals. Files with the .ai extension are typically used to store vector graphics and designs created in Adobe Illustrator. Files created with this extension have a higher resolution, so of course the file size will be much larger which requires more storage space and takes longer to send and open. This problem can be solved by compressing the data. Data compression can speed up data transmission due to smaller storage sizes in internal and external memory. There are many algorithms that can be used in data compression. One such algorithm is the LZY Algorithm. The final result of applying .ai file compression using the LZY algorithm with a compression ratio result of 90.62% and a space spacing result of 9.38%. Therefore, in this study the algorithm used is the LZY algorithm sufficient to overcome the above problems.
Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi Menggunakan Metode TOPSIS Hutagalung, Dendy Frans Gunawan; Mesran, Mesran
Bulletin of Artificial Intelligence Vol 3 No 2 (2024): October 2024
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v3i2.215

Abstract

Public and private universities are institutions where students acquire knowledge according to their interests and talents. To improve student quality, universities implement programs for selecting outstanding students. However, in many public and private universities, the selection of outstanding students is often based solely on the Grade Point Average (GPA). In fact, several other assessment criteria should also be considered, such as the number of scientific papers, TOEFL score, GPA, ethics, and parents’ monthly income. Therefore, a decision support system is required to assist in the selection process of outstanding students. The method applied in this study is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This method is chosen because it can effectively solve decision-making problems by using priority values or weights assigned to each criterion. The results of this study indicate that Alternative A3, namely “Frans,” is the best alternative with a preference value (Vi) of 1
Co-Authors Mesran, Mesran