Reynaldo, Vicky and Wicaksana, Arya and Hansun, Seng (2019) BROTLI DATA COMPRESSION ON MOODLE-BASED E-LEARNING SERVER. ICIC Express Letters, 10 (11). ISSN 2185-2766
Full text not available from this repository.Abstract
The limited capacity of media storage and the increased number and size of data every day could decrease the productivity level. These problems can be solved by compression methods that have been commonly used. Compression makes data storage more efficient and shortens the time of data exchange. The compression algorithm used in this study is Brotli. The algorithm was implemented in the Moodle-based UMN e-learning server as a Moodle plugin. The compression application was developed by using Java programming language, and the Moodle plugin was developed by using PHP programming language. The test results on 33 files with various compression sizes gave an average compression ratio of 0.77 and the average compression factor of 1.707, with the average compression saving percentage of 22.94%. Comparative tests with the Google Brotli apps show an average of 97.71%. The compression test was done by compressing data using the created application and decompressing data using Google’s application. The compression test shows that each file was successfully decompressed using an application from Google. These results indicate that the Brotli compression algorithm has been successfully implemented in this study.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 14 Oct 2021 07:47 |
| Last Modified: | 14 Oct 2021 07:47 |
| URI: | https://kc.umn.ac.id/id/eprint/18765 |
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