Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Journal of Decision Support System Research
Rizkah Fadillah
Universitas Budi Darma, Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penerapan Algoritma Fibonacci Codes Dalam Aplikasi Kompresi File Citra Digital Rizkah Fadillah
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5681

Abstract

The development of technology greatly affects the delivery of information, where previously the transmission of data could only be done with the size of the original file so that the data presented was limited and if the transmission of data and information in large quantities was needed a large storage space so that the process became slow. For example, in an image file or image in JPG format. The better the quality of the resulting image, the larger the hexa size needed to send the image, thus impacting speed and storage space. The solution to the problem is to shrink the file size with compression techniques. The compression algorithm used to compress image files in this study is Fibonacci codes. In addition to easily understanding the encoding process and the decoding process or decompression process, Fibonacci code is also very simple and effective for compressing image files. The technique done by removing some bits in the image file, there are two types of data that are compressed, namely lossy and lossless. In this study, a lossless type was used where the compressed file can be purchased as before without changing it. In the application of the Fibonacci codes, the process of compressing image files is considered very effective because it can produce a value of Compression Ratio (CR) of 62.5% and a Space Saving (Ss) value of 37.5% so that the image file after compression measuring 1,805 KB or 1.76 MB is much smaller than the original size of 2.82 MB.
Sistem Pendukung Keputusan Seleksi Dosen Non Komputer Terbaik Menerapkan Metode SAW Ilman Alfansyah; Jenberta Sibagariang; Rizkah Fadillah; Dwika Assarani
Journal of Decision Support System Research Vol. 1 No. 1 (2023): September 2023
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The role of lecturers at a university is one of the most influential parts on the quality of the resulting female students, one of which is a non-computer lecturer. At Budi Darma University there are many non-computer lecturers. So it is necessary to make an award to support the spirit of competition in terms of lecturer quality and will be chosen as the best lecturer. Giving the award is one way to foster positive competitiveness among non-computer lecturers on the level of competence of lecturers in the campus environment in order to produce non-computer lecturers with the best quality. Decision Support System is one of the alternatives in determining a decision, so this research aims to facilitate Higher Education Institutions (Foundations) in choosing the best non-computer lecturers who will get awards later. In building a decision support system, of course, by applying methods in data processing so that it will produce a decision value as expected. The method used to process non-computer lecturer data to produce the best non-computer lecturer data is the Simple Additive Weighting (SAW) method. The results of this research are using the SAW method, the best alternative is A4 for Lecturer D with a value of 0.485
Co-Authors Dwika Assarani Ilman Alfansyah Jenberta Sibagariang