THE MAPPING PICTURE OF POTENTIAL RISKS OF SPREADING COVID-19 WITH A GEOGRAPHICAL INFORMATION SYSTEM IN BARUGA DISTRICT OF KENDARI CITY IN 2020

Fitrah, Muhammad; Lestari,, Hariati; Paridah, Paridah; Jumakil, Jumakil; Irma, Irma; Erawan, Putu Eka Meiyana

Prosiding

THE MAPPING PICTURE OF POTENTIAL RISKS OF SPREADING COVID-19 WITH A GEOGRAPHICAL INFORMATION SYSTEM IN BARUGA DISTRICT OF KENDARI CITY IN 2020

Prosiding Fakultas Kesehatan Masyarakat Universitas Halu Oleo · Vol. 3 No. 1 (2021)

Published: 2021-12-01
Publisher: FKM Universitas Halu Oleo
Language: eng

Abstract

Coronavirus Disease 2019 or COVID-19 is a new type that attacks the respiratory system and is currently a worldwide pandemic including Indonesia. To detect diseaseprone environments can be done using remote sensing technology (remote sensing) and Geographic Information System (GIS) which is a system that is able to process, repair, update and analyze data. This research aims to find out the Mapping Picture of potential risks of spreading COVID-19 with a geographical information system in Baruga district of Kendari City in 2020. This type of descriptive research with spatial analysis. Sample in this study is a positively confirmed case of COVID-19 in Baruga sub-district as many as 105 people recorded in the Southeast Provincial Health Office from November to December 2020 The results showed that areas that have high potential risk based on population mobility, namely Baruga village, are obtained z-score values-10,21 Patterns tend to form Clusters in certain places such as markets, mosques and supermarkets, but if they do not calculate the area buffer area in get a value of z-score 13.92 the pattern is spread in all directions, while for population density the potential area is a new village with a total of 41 cases, in get a z-score value of 18.40 the pattern tends to form Clusters, but if you do not calculate the area of the area in get the value z-score 30,05 scattered patterns. Researchers hope this study can provide benefits in order to know the picture of areas that are very vulnerable to COVID-19and as a reference in prevention efforts, especially areas that have the potential to spread COVID-19

Collaboration network of the authors

40 authors · 349 co-authorship links · showing the 40 most connected

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Universitas Halu Oleo
Affiliation unknown

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Co-author	Organisation	Joint articles
Jusniar Rusli Afa	Universitas Halu Oleo	14
Yusuf Sabilu	Universitas Halu Oleo	14
Yasnani Yasnani	Universitas Halu Oleo	13
Hartati Bahar	Universitas Halu Oleo	10
Ambo Sakka	Affiliation unknown	10
La Ode Muhamad Sety	Universitas Halu Oleo	10
Lymbran Tina	Affiliation unknown	8
La Ode Ali Imran Ahmad	Affiliation unknown	8
Asnia Zainuddin	Universitas Halu Oleo	7
Harleli Harleli	Universitas Halu Oleo	7
Nurmaladewi Nurmaladewi	Universitas Halu Oleo	6
Febriana Muchtar	Affiliation unknown	6
Nani Yuniar	Universitas Halu Oleo	6
Ramadhan Tosepu	Universitas Halu Oleo	5
Arum Dian Pratiwi	Universitas Halu Oleo	5
Fithria Fithria	Universitas Halu Oleo	5
Lisnawaty Lisnawaty	Affiliation unknown	5
Fifi Nirmala	Universitas Halu Oleo	5
Jafriati Jafriati	Universitas Halu Oleo	5
Devi Savitri Effendy	Universitas Halu Oleo	4
La Ode Liaumin Azim	Universitas Halu Oleo	3
Karma Ibrahim	Affiliation unknown	3
Ruwiah Ruwiah	Affiliation unknown	3
Irma Yunawati	Universitas Halu Oleo	3
Sartiah Yusran	Affiliation unknown	3
Ruslan Majid	Universitas Halu Oleo	3
Siti Rabbani Karimuna	Universitas Halu Oleo	3
Akifah Akifah	Universitas Halu Oleo	3
Pitrah Asfian	Affiliation unknown	3
Listy Handayani	Universitas Halu Oleo	2
Rizki Eka Sakti Octaviani	Affiliation unknown	2
Fifi Nirmala G	Affiliation unknown	2
Rahman Rahman	Affiliation unknown	2
Rastika Dwiyanti Liaran	Affiliation unknown	2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/jppmi/oai, first harvested 30 Okt 2026, last seen 30 Okt 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en-US">THE MAPPING PICTURE OF POTENTIAL RISKS OF SPREADING COVID-19  WITH A GEOGRAPHICAL INFORMATION SYSTEM IN BARUGA DISTRICT  OF KENDARI CITY IN 2020</dc:title>
	<dc:creator>Fitrah, Muhammad</dc:creator>
	<dc:creator>Lestari, , Hariati</dc:creator>
	<dc:creator>Paridah, Paridah</dc:creator>
	<dc:creator>Jumakil, Jumakil</dc:creator>
	<dc:creator>Irma, Irma</dc:creator>
	<dc:creator>Erawan, Putu  Eka Meiyana</dc:creator>
	<dc:description xml:lang="en-US">Coronavirus Disease 2019 or COVID-19 is a new type that attacks the respiratory system and is currently a worldwide pandemic including Indonesia. To detect diseaseprone environments can be done using remote sensing technology (remote sensing) and Geographic Information System (GIS) which is a system that is able to process, repair, update and analyze data. This research aims to find out the Mapping Picture of potential risks of spreading COVID-19 with a geographical information system in Baruga district of Kendari City in 2020. This type of descriptive research with spatial analysis. Sample in this study is a positively confirmed case of COVID-19 in Baruga sub-district as many as 105 people recorded in the Southeast Provincial Health Office from November to December 2020 The results showed that areas that have high potential risk based on population mobility, namely Baruga village, are obtained z-score values-10,21 Patterns tend to form Clusters in certain places such as markets, mosques and supermarkets, but if they do not calculate the area buffer area in get a value of z-score 13.92 the pattern is spread in all directions, while for population density the potential area is a new village with a total of 41 cases, in get a z-score value of 18.40 the pattern tends to form Clusters, but if you do not calculate the area of the area in get the value z-score 30,05 scattered patterns. Researchers hope this study can provide benefits in order to know the picture of areas that are very vulnerable to COVID-19and as a reference in prevention efforts, especially areas that have the potential to spread COVID-19</dc:description>
	<dc:publisher xml:lang="en-US">FKM Universitas Halu Oleo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2021-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/jppmi/article/view/29005</dc:identifier>
	<dc:source xml:lang="en-US">Prosiding Fakultas Kesehatan Masyarakat Universitas Halu Oleo; Vol 3, No 1 (2021): Seminar Nasional “Implementasi Kesehatan Berbasis Teknologi di Era Revolusi Industri 4.0 pada Masa Pandemi COVID-19”</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/jppmi/article/view/29005/16901</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Prosiding Fakultas Kesehatan Masyarakat Universitas Halu Oleo</dc:rights>
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