Run Length Encoding Compresion on Virtual Tour Campus to Enhance Load Access Performance

Authors

  • Ade Bastian Department of Informatics, Faculty of Engineering,Universitas Majalengka, Indonesia, Indonesia https://orcid.org/0000-0001-7257-1185
  • Ardi Mardiana Department of Informatics, Faculty of Engineering,Universitas Majalengka, Indonesia, Indonesia
  • Mega Berliani Department of Informatics, Faculty of Engineering,Universitas Majalengka, Indonesia, Indonesia
  • Mochammad Bagasnanda Firmansyah Department of Informatics, Faculty of Engineering,Universitas Majalengka, Indonesia, Indonesia

DOI:

https://doi.org/10.15575/join.v8i1.1000

Keywords:

Load Access, Lossless Compression, Run Length Encoding, Stitching Image, Virtual Tour

Abstract

Virtual tour is one of the rapidly growing applications of multimedia technology which is used for various purposes, including the dissemination of information in an interesting way. The education sector is also not spared from using virtual tour media for promotional purposes, and campuses are no exception to this rule. Large virtual tour content causes high access speed, ultimately reducing the level of comfort experienced by users. This study aims to compress panoramic images displayed on a campus virtual tour using a lossless compression method and the Run Length Encoding (RLE) algorithm. First, panoramic images are combined into one, then individual images are compressed. When recreating a virtual campus tour, compressed images are used so that the amount of data transferred is smaller. The load access speed index increases from 7,233 seconds to 3,789 seconds when images are compressed from 64 bits to 8 bits, with a compression percentage of 27%. The findings from this research are that the RLE algorithm has not been able to compress large files effectively even though it is quite successful in increasing the load access of the virtual tour website.

Author Biography

Ade Bastian, Department of Informatics, Faculty of Engineering,Universitas Majalengka, Indonesia

Wakil Dekan I Fakultas Teknik Universitas Majalengka Tahun 2022-2026

References

Rizawati Binti Rohizan et al. 2019 J. Enchanced Visitor Experience Through Campus Virtual Tour. Phys.: Conf. Ser. 1228 012067. DOI 10.1088/1742-6596/1228/1/012067

Anita, Tiurida & Wijaya, Lianna & Saratiani, Athea & Kusumo, Elang & Santi,. 2021. Smart Tourism Experiences: Virtual Tour on Museum. Conference: the 11th Annual International Conference on Industrial Engineering and Operations Management.

Gema Kharismajati, Rusydi Umar, & Sunardi. 2021. Promotion of Purbalingga Tourism Object Using Augmented Reality Location Based Service & Virtual Reality 3600 Based on Android. JUITA: Jurnal Informatika Vol. 9 No. 2 pp. 229-237. DOI: 10.30595/juita.v9i2.9857

Atoir, F. Z. A., Putrada, A. G. ., & Pahlevi, R. R. (2021). An Evaluation of Complementary Filter Method in Increasing the Performance of Motion Tracking Gloves for Virtual Reality Games. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 6(2). https://doi.org/10.22219/kinetik.v6i2.1234

Anggoro, P. (2020). Design of Web Virtual Reality for Job Interview Preparation Simulation. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, 11(3), 132-143. doi:10.24843/LKJITI.2020.v11.i03.p02

Buana, W., Meily, S., & bin MD. Fudzee, M. (2021). Augmented Reality Application using Dynamic Location-Based Tracking of Taman Ayun Temple. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, 12(1), 24-32. doi: 10.24843/LKJITI.2021.v12.i01.p03

Tommy, T., Siregar, R., Elhanafi, A., & Lubis, I. (2021). Implementasi Color Quantization pada Kompresi Citra Digital dengan Menggunakan Model Clustering Berdasarkan Nilai Max Variance pada Ruang Warna RGB. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(6), 1099-1106. doi: http://dx.doi.org/10.25126/jtiik.2021863490

Tengku Wook, Tengku Siti Meriam Tengku Wook & Zairon, Intan & Ashaari, Noraidah & Idris, Mushrifah & Mat Zin, Nor Azan & Judi, Hairulliza & Jailani, Norleyza. 2018. Campus Virtual Tour Design to Enhance Visitor Experience and Interaction in a Natural Environment. The International journal of Multimedia & Its Applications. 10. 77-92. 10.5121/ijma.2018.10307

Abu-Taieh, Evon, Issam AlHadid. 2018. CRUSH: A New Lossless Compression Algorithm. Modern Applied Science Vol. 12 No. 11. DOI:10.5539/mas.v12n11p406

Ruamviboonsuk, Vaspol. 2020. Understanding and Improving the Performance of Web Page Loads. Computer Science and Engineering, University of Michigan.

Marang, A. Z. 2018. Analysis of web performance optimization and its impact on user experience (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231445

Kinnunen, Matias. 2020. Evaluating and improving web performance using free-to-use tools. JULTIKA University of Oulu repository page 55. http://urn.fi/URN:NBN:fi:oulu-202005191965

H. Salman, Nassir, Enas Kh. Hassan. 2019. Run Length Encoding Based Lossless MRI Image Compression Using LZW and Adaptive Variable Length Coding. Journal of Southwest Jaiotong University Vol. 54 No. 4, DOI?https://doi.org/10.35741/issn.0258-2724.54.4.23.

Xin, G., Fan, P. 2021. A lossless compression method for multi-component medical images based on big data mining. Sci Rep 11, 12372 (2021). https://doi.org/10.1038/s41598-021-91920-x

Mentzer, F., Gool, L.V., & Tschannen, M. 2020. Learning Better Lossless Compression Using Lossy Compression. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6637-6646.

Fitriya, L.A. & Purboyo, Tito & Prasasti, Anggunmeka. 2017. A review of data compression techniques. International Journal of Applied Engineering Research. 12. 8956-8963.

Tommy, T., Siregar, R., Elhanafi, A., & Lubis, I. (2021). Implementasi Color Quantization pada Kompresi Citra Digital dengan Menggunakan Model Clustering Berdasarkan Nilai Max Variance pada Ruang Warna RGB. Jurnal Teknologi Informasi dan Ilmu Komputer, 8(6), 1099-1106. doi: http://dx.doi.org/10.25126/jtiik.2021863490

Muhamad Aznar Abdillah, Anton Yudhana, & Abdul Fadlil. 2021. Compression Analysis Using Coiflets, Haar Wavelet, and SVD Methods. JUITA: Jurnal Informatika Vol. 9 No. 1 pp. 43-48. DOI: 10.30595/juita.v9i1.8559

Febri Dwinata Yonathan, Helfi Nasution, & Heri Priyanto. 2021. Aplikasi Pengaman Dokumen Digital Menggunakan Algoritma Kriptografi Hybrid dan Algoritma Kompresi Huffman. Jurnal Edukasi dan Penelitian Informatika Vol. 7 No. 2. DOI: http://dx.doi.org/10.26418/jp.v7i2.47077

Hussain, A. J., Al-Fayadh, A. & Radi, N. 2018. Image compression techniques: A survey in lossless and lossy algorithms. Neurocomputing 300, 44–69 (2018).

Harika Devi Kotha et al. 2019 J. Phys.: Conf. Ser. 1228 012007. DOI 10.1088/1742-6596/1228/1/012007

Jeromel, A., Žalik, B. 2020. An efficient lossy cartoon image compression method. Multimed Tools Appl 79, 433–451 (2020). https://doi.org/10.1007/s11042-019-08126-7

Waleed, Hayder & Awheed Jeiad, Hassan & Al Salam, Mohammed. 2021. Lossless Video Compression Using Prediction and RLE. Xi'an Jianzhu Keji Daxue Xuebao/Journal of Xi'an University of Architecture & Technology. XII. 44-50.

Nuha, H Hilal. 2019. Lossless Text Image Compression using Two Dimensional Run Length Encoding. JOIN (Journal Online Informatika) Volume 4 No. 2 December 2019 75-87. UIN Sunan Gunung Djati Bandung. DOI https://doi.org/10.15575/join.v4i2.330

Rivaldo, R., Handrizal, H., & Herriyance, H. (2021). Pengamanan Pesan Menggunakan Metode MLSB PRNG dan Kompresi File dengan Algoritma RLE pada File Audio. JSINBIS (Jurnal Sistem Informasi Bisnis), 11(1), 1-8. https://doi.org/10.21456/vol11iss1pp1-8

Downloads

Published

2023-06-28

Issue

Vol. 8 No. 1 (2023)

Section

Article

Citation Check

License

Copyright (c) 2023 Jurnal Online Informatika

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

You are free to:

 

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

  • NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.

  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

 

Notices:

  • You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
  • No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License