RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS PEMETAAN PENYEBARAN KASUS COVID-19 DI KOTA PALEMBANG

ZAHRAN, AHMAD HAFIZH and Ibrahim, Ali (2023) RANCANG BANGUN SISTEM INFORMASI GEOGRAFIS PEMETAAN PENYEBARAN KASUS COVID-19 DI KOTA PALEMBANG. Undergraduate thesis, Sriwijaya University.

	Text RAMA_57201_09031381823082.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_57201_09031381823082_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_57201_09031381823082_0021078402_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (696kB)
	Text RAMA_57201_09031381823082_0021078402_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_57201_09031381823082_0021078402_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_57201_09031381823082_0021078402_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_57201_09031381823082_0021078402_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (364kB) | Request a copy
	Text RAMA_57201_09031381823082_0021078402_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_57201_09031381823082_0021078402_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (296kB) | Request a copy

Abstract

To overcome the spread of Covid-19 in Palembang, the city government and various related agencies are making sundry efforts, such as tightening health protocols, holding mass PCR tests, and conducting close contact tracing of Covid�19 positive patients. However, to carry out these efforts, effectively, an information system is needed that can accurately and real-time reveal the spread of Covid-19 in Palembang. The purpose of this research is to assist the city government and related agencies in mapping and monitoring the spread of Covid�19 in the city of Palembang. The results of this study are a Geographic Information System for Mapping the Spread of Covid-19 Cases in the City of Palembang which of course will be very helpful in providing information about the spread of Covid-19 cases and also the level of danger in each sub-district with 5 categories of calculations regarding the mapping of Covid-19 in Palembang. Namely, class I with a range of 66-80 has very high hazard criteria, class II with a range of 51-65 has criteria for a high hazard level, class III with a range of 36-50 has medium level criteria, class IV with a range of 36-50 has a level criteria low hazard, and class V with a range of 5-20 has a very low hazard level.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Geographic Information System, Covid-19, Palembang
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	AHMAD HAFIZH ZAHRAN
Date Deposited:	01 Jun 2023 06:07
Last Modified:	01 Jun 2023 06:07
URI:	http://repository.unsri.ac.id/id/eprint/106501

Actions (login required)

View Item