Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)

<Previous Article In Volume
Next Article In Volume>

Image Data Compression in the Public Reporting System in Lamongan using the Huffman Method and Run Length Encoding

Authors
Mohammad Robihul Mufid*, mufid@pens.ac.id, Saniyatul Mawaddahsaniyatul@pens.ac.id, Arif Basofiariv@pens.ac.id, Mochammad Jauhar Ulul Albabmjauhar@it.student.pens.ac.id, Nur Syaela Majidsyelamajid@mb.student.pens.ac.id, Devvana Arya Pratamadevvanaaryapratama@mb.student.pens.ac.id, Risalatun Nuriyahrisalatunn@mb.student.pens.ac.id, Nidalifa Choirunnisanidalifach@mb.student.pens.ac.id
Department of Informatic and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Indonesia
Department of Creative Multimedia Technology, Politeknik Elektronika Negeri Surabaya, Indonesia
Corresponding Author
Mohammad Robihul Mufidmufid@pens.ac.id
Available Online 4 March 2022.
DOI
10.2991/assehr.k.220301.146How to use a DOI?
Keywords
public reporting; image compression; RLE; Huffman
Abstract

The dry season and the rainy season in the Lamongan area always cause several problems, including water scarcity, flooding, damaged roads, etc. The public report site, which is used to accommodate the aspirations of Lamongan residents who are in trouble, requires image evidence to ensure that there are no false reports. The site has a limit on the size of the file to be uploaded, so if the file size is too large, the upload process cannot be carried out. In this study, an analysis will be carried out to compare what compression method produces photos with the smallest size for further upload on the Lamongan community report site. Huffman compression and Run Length Encoding (RLE) were chosen because the algorithm includes lossless compression where the compressed image will not be damaged even though the size is compressed. From the two methods or algorithms, testing is carried out to find out which algorithm is the best that can produce compressed images with the smallest size. From the experiments conducted, it is known that the RLE method is a better method than Huffman coding. With the RLE method we can compress images up to 93.17%.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
4 March 2022
ISBN
10.2991/assehr.k.220301.146
ISSN
2352-5398
DOI
10.2991/assehr.k.220301.146How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Mohammad Robihul Mufid
AU  - Saniyatul Mawaddah
AU  - Arif Basofi
AU  - Mochammad Jauhar Ulul Albab
AU  - Nur Syaela Majid
AU  - Devvana Arya Pratama
AU  - Risalatun Nuriyah
AU  - Nidalifa Choirunnisa
PY  - 2022
DA  - 2022/03/04
TI  - Image Data Compression in the Public Reporting System in Lamongan using the Huffman Method and Run Length Encoding
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)
PB  - Atlantis Press
SP  - 887
EP  - 891
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220301.146
DO  - 10.2991/assehr.k.220301.146
ID  - Mufid2022
ER  -