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Fig. 1

The COVID-19 outbreak in Indonesia (COVID-19 Response Acceleration Task Force 2020).
The COVID-19 outbreak in Indonesia (COVID-19 Response Acceleration Task Force 2020).

Fig. 2

Administrative map of the study area.
Administrative map of the study area.

Fig. 3

Covid-19 hazard analysis.
Covid-19 hazard analysis.

Fig. 4

Vulnerability analysis workflow.
Vulnerability analysis workflow.

Fig. 5

The list of parameters and sub-parameters used in vulnerability analysis.
The list of parameters and sub-parameters used in vulnerability analysis.

Fig. 6

COVID-19 hazard index of Subosukowonosraten (Greater Surakarta).
COVID-19 hazard index of Subosukowonosraten (Greater Surakarta).

Fig. 7

COVID-19 hazard index of Gerbangkertosusila-Bama (Greater Surabaya).
COVID-19 hazard index of Gerbangkertosusila-Bama (Greater Surabaya).

Fig. 8

The weight of each parameter in the first hierarchy.
The weight of each parameter in the first hierarchy.

Fig. 9

The high vulnerability villages in Greater Surakarta.
The high vulnerability villages in Greater Surakarta.

Fig. 10

Villages in Greater Surabaya and Batu-Malang regency/municipality having a high vulnerability index.
Villages in Greater Surabaya and Batu-Malang regency/municipality having a high vulnerability index.

Fig. 11

Non-medical risk index in Greater Surakarta.
Non-medical risk index in Greater Surakarta.

Fig. 12

Non-medical risk index in Greater Surabaya.
Non-medical risk index in Greater Surabaya.

The example of AHP matric used in parameters and sub-parameters comparison process.

DiSPFHFEcDe
Di2 / 1… / …… / …… / …
SPF… / …… / …… / …… / …
HF… / …… / …… / …… / …
Ec… / …… / …… / …… / …
De… / …… / …… / …… / …

The data used in the research.

NoDataSourceFunction
1Data Covid-19COVID-19 Response Acceleration Task ForceHazard assessment
2District in FiguresStatistics Indonesia (2020)Extract demography data
3Province in FiguresStatistics Indonesia (2020)Support the vulnerability assessment
4Village potential dataStatistics Indonesia (2018)Vulnerability assessment
5Administrative boundary, road, river, and elevation (RBI)Geospatial Information agency (Scale 1:25.000)Base map of Risk map
6Expert JudgementOnline FGDVulnerability assessment

The Subosukowonosraten or Greater Surakarta administrative area and GRDP Growth Rate (BPS-Statistic of Central Java, 2020).

Administrative divisionArea (km2)Population (2019)The GRDP growth rate at 2010 constant market price
2016201720182019
Surakarta*44.03519,5875.355.705.755.78
Boyolali1,015.1984,8075.335.805.725.96
Sukoharjo466.66891,9125.725.765.795.92
Wonogiri1,822.37959,4925.255.325.415.14
Sragen946.49890,5185.775.975.755.90
Klaten655.561,174,9865.175.345.475.57
Karanganyar800.28886,5195.405.775.985.93
Greater Surakarta (Subosukowonosraten)5,750.496,307,821

The summary of AHP results (green colour – parameters).

CodeParameter and Sub-ParametersAverageStandard deviation
DDisaster0.380.22
D1Number of the death toll from previous disasters0.360.32
D2Readiness to face a disaster0.190.10
D3The availability of mitigation facilities0.270.19
D4The availability of safety equipment0.180.11
HHealth facilities0.310.11
H1Distance to health facilities0.300.21
H2The availability of local health facilities at the village level0.330.25
H3The number of victims of previous extraordinary events0.200.12
H4The number of people who have congenital disease0.180.16
S-PFSocial and Public Facilities0.110.07
S-PF1The number of worship place0.090.06
S-PF2Community ties0.250.11
S-PF3Distance to the market0.190.08
S-PF4Criminality level0.090.05
S-PF5The availability of a safety net (social security)0.150.07
S-PF6The availability of open space0.130.09
S-PF7The availability of a sport centre0.100.11
EEconomic0.170.09
E1Main livelihood0.360.22
E2Featured product0.210.16
E3Number of industrial centre0.020.01
E4Micro, small, and medium enterprises0.010.00
E5The availability of cooperative.0.120.09
E7Slum area0.140.08
E8Poverty0.040.03
DeDemography0.040.02
De1Number of population0.130.11
De2Population density0.290.20
De3Vulnerable people0.580.21

List of villages with the high vulnerability index in Greater Surakarta.

NoVillagesDistrictRegency or municipalityIndex
1CluntangMusukBoyolali1.000
2LabanMojolabanSukoharjo0.995
3LemahbangJumapoloKaranganyar0.994
4LemahbangKismantoroWonogiri0.994
5GawanTanonSragen0.992
6ManjunganNgawenKlaten0.981
7Belang WetanKlaten UtaraKlaten0.980
8TawangWeruSukoharjo0.977
9GumulKarangnongkoKlaten0.976
10KarangdowoKarangdowoKlaten0.976
11GrantingJogonalanKlaten0.964
12BakulanCepogoBoyolali0.964

List of experts who were invited to online FGD.

No.Expert onProfessionArea
Expert 1EconomicAcademicsGreater Surakarta
Expert 2Geography of regional developmentAcademicsGreater Surakarta
Expert 3PlanologistAcademicsGreater Surakarta
Expert 4Human GeographyAcademics and practitionersGreater Surakarta
Expert 5Public healthAcademicsGreater Surakarta
Expert 6Disaster managementAcademicsGreater Surakarta
Expert 7Disaster managementPractitionersGreater Surabaya
Expert 8EconomicsPractitionersGreater Surabaya
Expert 9Local governmentPractitionersGreater Surabaya
Expert 10Public healthPractitionersGreater Surabaya
Expert 11SocialPractitionersGreater Surabaya

The Gerbangkertosusila-Bama or Greater Surabaya administrative area (BPS-Statistic of Jawa Timur, 2020).

Administrative divisionArea (km2)Population (2019)
Gresik1,191.251,313,000
Bangkalan1,001.44987,000
Mojokerto717.831,118,000
Sidoarjo634.382,249,000
Lamongan1,782.051,189,000
Surabaya *350.542,896,000
Batu *136.74207,000
Malang *145.28871,000
Greater Surabaya (Gerbangkertosusila-Bama)5,959.5110,830,000

Scale of AHP (Saaty 1980).

Intensity of importanceDefinition
1Equal importance
3Moderate importance
5Strong importance
7Very strong or demonstrated importance
9Extreme importance
2, 4, 6, 8Intermediate values of importance

List of villages with the high vulnerability index in Greater Surabaya.

NoVillagesDistrictRegency or municipalityIndex
1SawojajarKedungkandangMalang1.000
2BandungrejosariSukunMalang0.998
3TurenTurenMalang0.953
4PagentanSingosariMalang0.940
5SamaanKlojenMalang0.938
6CandirenggoSingosariMalang0.930
7GadingkasriKlojenMalang0.928
8BalesariNgajumMalang0.881
9PetungsewuWagirMalang0.879
10SampangagungKutorejoMojokerto0.875
11JegregModoLamongan0.874
12GadungsariTirto YudoMalang0.873
13NgadirejoKromenganMalang0.873
14DalisodoWagirMalang0.873
15NgadirejoJabungMalang0.873
16PaitKasembonMalang0.873
17KedungpengaronModoLamongan0.873
18YungyangModoLamongan0.873
19GedongkulonBabatLamongan0.873
20KaranglangitLamonganLamongan0.871
21MojoasemLarenLamongan0.871
22NguwokModoLamongan0.866
23SlametTumpengMalang0.865
24SendangrejoNgimbangLamongan0.865
25SendangrejoLamonganLamongan0.865
26MlatenPuriMojokerto0.864
27PengumbulanadiTikungLamongan0.863
28NgadasPoncokusumoMalang0.859
29SumberpucungSumber PucungMalang0.858
30TruniBabatLamongan0.838
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Temas de la revista:
Geosciences, Geography