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

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 1 (2022) · hlm. 121–128

DOI
10.30598/barekengvol16iss1pp121-128
ISSN
2615-3017, 1978-7227
Terbit
2022-03-21
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng

Abstrak

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.

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  • Universitas Muhammadiyah Sidoarjo
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Rekan penulisOrganisasiArtikel bersama
Ade EviyantiUniversitas Muhammadiyah Sidoarjo2
Ika Ratna Indra AstutikUniversitas Muhammadiyah Sidoarjo1
Mahelda Asri SudarsonoUniversitas Muhammadiyah Sidoarjo1
Yulian FindawatiUniversitas Muhammadiyah Sidoarjo1
Muhammad Arshiel Naufal DzakiAfiliasi tidak diketahui1
Hindarto HindartoUniversitas Muhammadiyah Sidoarjo1
M Cholis AfandiUniversitas Muhammadiyah Sidoarjo1
Hamzah SetiawanUniversitas Muhammadiyah Sidoarjo1
Irwan Alnarus KautsarUniversitas Muhammadiyah Sidoarjo1
Cindy Cahyaning AstutiUniversitas Muhammadiyah Sidoarjo1
Herlinda Maya Kumala SariUniversitas Muhammadiyah Sidoarjo1
Vevy LiansariUniversitas Muhammadiyah Sidoarjo1
Alfan Indra KusumaUniversitas Muhammadiyah Sidoarjo1
Novia AriyantiUniversitas Muhammadiyah Sidoarjo1
Gita WardaniUniversitas Muhammadiyah Sidoarjo1
Naila Farah DibaUniversitas Muhammadiyah Sidoarjo1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">PRIVACY-PRESERVING REAL TIME TRACING SYSTEM FOR COVID-19 PATIENT USING GPS TECHNOLOGY</dc:title>
	<dc:creator>Azizah, Nuril Lutvi</dc:creator>
	<dc:creator>Indahyanti, Uce</dc:creator>
	<dc:description xml:lang="en-US">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&amp;nbsp; 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.&amp;nbsp; 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.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2022-03-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4538</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss1pp121-128</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 121-128</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol16iss1year2022</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4538/4013</dc:relation>
</oai_dc:dc>