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The example of AHP matric used in parameters and sub-parameters comparison process_
| Di | SPF | HF | Ec | De | |
|---|---|---|---|---|---|
| Di | 2 / 1 | … / … | … / … | … / … | |
| SPF | … / … | … / … | … / … | … / … | |
| HF | … / … | … / … | … / … | … / … | |
| Ec | … / … | … / … | … / … | … / … | |
| De | … / … | … / … | … / … | … / … |
The data used in the research_
| No | Data | Source | Function |
|---|---|---|---|
| 1 | Data Covid-19 | COVID-19 Response Acceleration Task Force | Hazard assessment |
| 2 | District in Figures | Statistics Indonesia (2020) | Extract demography data |
| 3 | Province in Figures | Statistics Indonesia (2020) | Support the vulnerability assessment |
| 4 | Village potential data | Statistics Indonesia (2018) | Vulnerability assessment |
| 5 | Administrative boundary, road, river, and elevation (RBI) | Geospatial Information agency (Scale 1:25.000) | Base map of Risk map |
| 6 | Expert Judgement | Online FGD | Vulnerability assessment |
The Subosukowonosraten or Greater Surakarta administrative area and GRDP Growth Rate (BPS-Statistic of Central Java, 2020)_
| Administrative division | Area (km2) | Population (2019) | The GRDP growth rate at 2010 constant market price | |||
|---|---|---|---|---|---|---|
| 2016 | 2017 | 2018 | 2019 | |||
| Surakarta* | 44.03 | 519,587 | 5.35 | 5.70 | 5.75 | 5.78 |
| Boyolali | 1,015.1 | 984,807 | 5.33 | 5.80 | 5.72 | 5.96 |
| Sukoharjo | 466.66 | 891,912 | 5.72 | 5.76 | 5.79 | 5.92 |
| Wonogiri | 1,822.37 | 959,492 | 5.25 | 5.32 | 5.41 | 5.14 |
| Sragen | 946.49 | 890,518 | 5.77 | 5.97 | 5.75 | 5.90 |
| Klaten | 655.56 | 1,174,986 | 5.17 | 5.34 | 5.47 | 5.57 |
| Karanganyar | 800.28 | 886,519 | 5.40 | 5.77 | 5.98 | 5.93 |
| Greater Surakarta (Subosukowonosraten) | 5,750.49 | 6,307,821 | ||||
The summary of AHP results (green colour – parameters)_
| Code | Parameter and Sub-Parameters | Average | Standard deviation |
|---|---|---|---|
| D | Disaster | 0.38 | 0.22 |
| D1 | Number of the death toll from previous disasters | 0.36 | 0.32 |
| D2 | Readiness to face a disaster | 0.19 | 0.10 |
| D3 | The availability of mitigation facilities | 0.27 | 0.19 |
| D4 | The availability of safety equipment | 0.18 | 0.11 |
| H | Health facilities | 0.31 | 0.11 |
| H1 | Distance to health facilities | 0.30 | 0.21 |
| H2 | The availability of local health facilities at the village level | 0.33 | 0.25 |
| H3 | The number of victims of previous extraordinary events | 0.20 | 0.12 |
| H4 | The number of people who have congenital disease | 0.18 | 0.16 |
| S-PF | Social and Public Facilities | 0.11 | 0.07 |
| S-PF1 | The number of worship place | 0.09 | 0.06 |
| S-PF2 | Community ties | 0.25 | 0.11 |
| S-PF3 | Distance to the market | 0.19 | 0.08 |
| S-PF4 | Criminality level | 0.09 | 0.05 |
| S-PF5 | The availability of a safety net (social security) | 0.15 | 0.07 |
| S-PF6 | The availability of open space | 0.13 | 0.09 |
| S-PF7 | The availability of a sport centre | 0.10 | 0.11 |
| E | Economic | 0.17 | 0.09 |
| E1 | Main livelihood | 0.36 | 0.22 |
| E2 | Featured product | 0.21 | 0.16 |
| E3 | Number of industrial centre | 0.02 | 0.01 |
| E4 | Micro, small, and medium enterprises | 0.01 | 0.00 |
| E5 | The availability of cooperative. | 0.12 | 0.09 |
| E7 | Slum area | 0.14 | 0.08 |
| E8 | Poverty | 0.04 | 0.03 |
| De | Demography | 0.04 | 0.02 |
| De1 | Number of population | 0.13 | 0.11 |
| De2 | Population density | 0.29 | 0.20 |
| De3 | Vulnerable people | 0.58 | 0.21 |
List of villages with the high vulnerability index in Greater Surakarta_
| No | Villages | District | Regency or municipality | Index |
|---|---|---|---|---|
| 1 | Cluntang | Musuk | Boyolali | 1.000 |
| 2 | Laban | Mojolaban | Sukoharjo | 0.995 |
| 3 | Lemahbang | Jumapolo | Karanganyar | 0.994 |
| 4 | Lemahbang | Kismantoro | Wonogiri | 0.994 |
| 5 | Gawan | Tanon | Sragen | 0.992 |
| 6 | Manjungan | Ngawen | Klaten | 0.981 |
| 7 | Belang Wetan | Klaten Utara | Klaten | 0.980 |
| 8 | Tawang | Weru | Sukoharjo | 0.977 |
| 9 | Gumul | Karangnongko | Klaten | 0.976 |
| 10 | Karangdowo | Karangdowo | Klaten | 0.976 |
| 11 | Granting | Jogonalan | Klaten | 0.964 |
| 12 | Bakulan | Cepogo | Boyolali | 0.964 |
List of experts who were invited to online FGD_
| No. | Expert on | Profession | Area |
|---|---|---|---|
| Expert 1 | Economic | Academics | Greater Surakarta |
| Expert 2 | Geography of regional development | Academics | Greater Surakarta |
| Expert 3 | Planologist | Academics | Greater Surakarta |
| Expert 4 | Human Geography | Academics and practitioners | Greater Surakarta |
| Expert 5 | Public health | Academics | Greater Surakarta |
| Expert 6 | Disaster management | Academics | Greater Surakarta |
| Expert 7 | Disaster management | Practitioners | Greater Surabaya |
| Expert 8 | Economics | Practitioners | Greater Surabaya |
| Expert 9 | Local government | Practitioners | Greater Surabaya |
| Expert 10 | Public health | Practitioners | Greater Surabaya |
| Expert 11 | Social | Practitioners | Greater Surabaya |
The Gerbangkertosusila-Bama or Greater Surabaya administrative area (BPS-Statistic of Jawa Timur, 2020)_
| Administrative division | Area (km2) | Population (2019) |
|---|---|---|
| Gresik | 1,191.25 | 1,313,000 |
| Bangkalan | 1,001.44 | 987,000 |
| Mojokerto | 717.83 | 1,118,000 |
| Sidoarjo | 634.38 | 2,249,000 |
| Lamongan | 1,782.05 | 1,189,000 |
| Surabaya * | 350.54 | 2,896,000 |
| Batu * | 136.74 | 207,000 |
| Malang * | 145.28 | 871,000 |
| Greater Surabaya (Gerbangkertosusila-Bama) | 5,959.51 | 10,830,000 |
Scale of AHP (Saaty 1980)_
| Intensity of importance | Definition |
|---|---|
| 1 | Equal importance |
| 3 | Moderate importance |
| 5 | Strong importance |
| 7 | Very strong or demonstrated importance |
| 9 | Extreme importance |
| 2, 4, 6, 8 | Intermediate values of importance |
List of villages with the high vulnerability index in Greater Surabaya_
| No | Villages | District | Regency or municipality | Index |
|---|---|---|---|---|
| 1 | Sawojajar | Kedungkandang | Malang | 1.000 |
| 2 | Bandungrejosari | Sukun | Malang | 0.998 |
| 3 | Turen | Turen | Malang | 0.953 |
| 4 | Pagentan | Singosari | Malang | 0.940 |
| 5 | Samaan | Klojen | Malang | 0.938 |
| 6 | Candirenggo | Singosari | Malang | 0.930 |
| 7 | Gadingkasri | Klojen | Malang | 0.928 |
| 8 | Balesari | Ngajum | Malang | 0.881 |
| 9 | Petungsewu | Wagir | Malang | 0.879 |
| 10 | Sampangagung | Kutorejo | Mojokerto | 0.875 |
| 11 | Jegreg | Modo | Lamongan | 0.874 |
| 12 | Gadungsari | Tirto Yudo | Malang | 0.873 |
| 13 | Ngadirejo | Kromengan | Malang | 0.873 |
| 14 | Dalisodo | Wagir | Malang | 0.873 |
| 15 | Ngadirejo | Jabung | Malang | 0.873 |
| 16 | Pait | Kasembon | Malang | 0.873 |
| 17 | Kedungpengaron | Modo | Lamongan | 0.873 |
| 18 | Yungyang | Modo | Lamongan | 0.873 |
| 19 | Gedongkulon | Babat | Lamongan | 0.873 |
| 20 | Karanglangit | Lamongan | Lamongan | 0.871 |
| 21 | Mojoasem | Laren | Lamongan | 0.871 |
| 22 | Nguwok | Modo | Lamongan | 0.866 |
| 23 | Slamet | Tumpeng | Malang | 0.865 |
| 24 | Sendangrejo | Ngimbang | Lamongan | 0.865 |
| 25 | Sendangrejo | Lamongan | Lamongan | 0.865 |
| 26 | Mlaten | Puri | Mojokerto | 0.864 |
| 27 | Pengumbulanadi | Tikung | Lamongan | 0.863 |
| 28 | Ngadas | Poncokusumo | Malang | 0.859 |
| 29 | Sumberpucung | Sumber Pucung | Malang | 0.858 |
| 30 | Truni | Babat | Lamongan | 0.838 |