PRIVACY-PRESERVING REAL TIME TRACING SYSTEM FOR COVID-19 PATIENT USING GPS TECHNOLOGY

  • Nuril Lutvi Azizah Informatic Department, Faculty of Science and Technology, Universitas Muhammadiyah Sidoarjo
  • Uce Indahyanti Informatic Department, Faculty of Science and Technology, Universitas Muhammadiyah Sidoarjo
DOI: https://doi.org/10.30598/barekengvol16iss1pp121-128
Keywords: tracing, real time, privacy-preserving, graph, gps

Abstract

The new normal condition in Indonesia does not mean that Indonesia is completely free from infection with the Covid 19 virus. Individuals exposed to the Covid 19 virus have symptoms like mild, moderate, to severe condition. Most individuals who have mild symptoms are self isolating at their home until tested negative for the Covid 19 virus. The impact of Covid 19 has led to an increase in the use of gadgets to access all the information needed. The purpose of this study is to provide information regarding patients infected with Covid 19 in a certain area through a tracing application. The application can help public to find out how many individuals are infected with Covid 19 in the surrounding environment by prioritizing privacy-preserving in a  real time. The method used in this study is a combination of graph theory and GPS tracing system on a gadget. The initial stage of this study was carried out through tracing Covid 19 patients based on their position of residence. The final stage of the study was carried out using a graph approach based on distance and percentage of transmission.  The result of this study obtained privacy-preserving real-time tracing with the predicted precentage of Covid 19 transmission susceptibility within the scope of danger or vulnerability, quite safe, and secure. Furthermore, individuals can take precautions by maintaining a safe distance.

Downloads

Download data is not yet available.

References

N. L. Azizah, “vulnerability prediction model using mobile tracking in patients,” in Seminar Nasional UNIMUS, Semarang, Indonesia, 2020.

KOMINFO, “Peduli Lindungi,” Kemetrian Komunikasi dan Informatika, Indonesia, 2020.

N. L. Azizah, “Anonymously tracking covid-19 patient using labeling graph approach and GPS tracking technology,” in ICCGANT 2021 Journal of Physics, Jember, Indonesia, 2022.

U. I. Nuril Lutvi Azizah, “Predicting Personal Vulnerability to Covid-19 Using the Graph Approach,” Jurnal Ilmiah Soulmath, vol. 9, no. 1, pp. 47-56, 2021.

Hrasco, “Time Series Prediction Using Restricted Bolzman Mechine and Backpropagation,” Procedia COmputer and Science,, no. 55, pp. 990-999, 2019.

D. D. K. G. K. N. R. B. Batista, “Minimizing disease spread on a quarantined cruise ship: A model of Mathematical Biosciences,” Journal of Bioscience, vol. 329, pp. 1-11, 2020.

MuhammadIrfan, “ On total labelings of graphs with prescribed weights,” AKCE International Journal of Graphs and Combinatorics, vol. 13, no. 2, pp. 191-199, 2016.

H. Z. Abidin, Positioning with GPS and Its Applications, Indonesia, 2020.

N. Nuraini, “Modeling Simulation of Covid-19 in Indonesia Based on Early Endemic Data,” Cummun. Biomath, pp. 1-8, 2020.

G. N. A. Efthimios Kaxiras, “The first 100 days: Modeling the evolution of the COVID-19 pandemic,” Chaos, Solitons and Fractals ,, no. www.elsivier.com, pp. 1-9, 2020.

D. S. Enin Lutfi Sundari, “Pelabelan Total Super (a,d) - Sisi Antimagic Pada Graf Crown String-Edge Antimagic Total Labeling of Crown String Graph,” Universitas Negeri Jember, Jember Indonesia, 2009.

d. Dafik, “On Super (a,d)-Edge anti magic Total Labelling of Disconected Graph,” Jurnal Discrete Mathematics , pp. 4909-4915, 2009.

G. N. A. E. Kaxiras, “ The first 100 days: Modeling the evolution of the COVID-19 pandemic,” Chaos, Solitons and Fractals, no. www.elsivier.com,, pp. 1-9, 2020.

.. Nataliana, “Design and Realization of GPS Data Transmission System Using SMS Technology,” Journal of Electrical Engineering, pp. 48-59, 2013.

M. I. U. D. I. H. A. R. E. W. A. I. Kristiana, “Vertex coloring edge-weighting of coronation,” ICCGANT 2018, 2018.

N. L. Azizah, “Prediksi Kerentanan Personal Terhadap Covid-19 dengan Menggunakan Pendekatan Graf,” Jurnal Ilmiah Soulmath, 2021.

0. M. R. M. D. W. a. K. P. M. Maleki, “Time series modelling to forecast the confirmed and recovered cases of COVID-19,,” Travel Med. Infect, no. doi: 10.1016/j.tmaid.2020.101742., 202, pp. 202-209, 2020.

Published
2022-03-21
How to Cite
[1]
N. Azizah and U. Indahyanti, “PRIVACY-PRESERVING REAL TIME TRACING SYSTEM FOR COVID-19 PATIENT USING GPS TECHNOLOGY”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 121-128, Mar. 2022.
Issue
Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

Authors who publish with this Journal agree to the following terms:

  1. Author retain copyright and grant the journal right of first publication with the work simultaneously licensed under a creative commons attribution license that allow others to share the work within an acknowledgement of the work’s authorship and initial publication of this journal.
  2. Authors are able to enter into separate, additional contractual arrangement for the non-exclusive distribution of the journal’s published version of the work (e.g. acknowledgement of its initial publication in this journal).
  3. Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their websites) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published works.