Application of livelihood vulnerability index to assess risks for farmers in the Sukoharjo Regency and Klaten Regency, Indonesia

This research tried to compare the level of farmers’ livelihood vulnerability to flooding in Sukoharjo and Klaten. Farmers are the most susceptible caused by climate change. The data used in this research are primary data, collected by interviewing 61 respondents who are farmers in the Sonorejo Village, Sukoharjo Regency and 72 respondents in the Jiwo Wetan Village, Klaten Regency. This data obtained by using non-probability sampling technique with purposive methods. Meanwhile mapping for hazard level was analysed by using Geographic Information System (GIS). Descriptive statistic was used for the livelihood vulnerability index’s (LVI) and the LVI-Intergovernmental Panel on Climate Change’s (IPCC) index calculation. The results show that the farmers’ livelihood vulnerability in the Sonorejo Village is medium level because of climate change based on the LVI index value at 0.363 and LVI-IPCC index value at 0.044. Meanwhile, the Jiwo Wetan Village has a lower index in LVI at 0.344 and LVI-IPCC index value at 0.038. Areas with similar physical characteristic and most of its community have a dependence on agriculture tend relatively the same level of vulnerability.

However, at some point the fields contained in the Sonorejo Village is prone to floods. However, Klaten is also a producer of rice in Central Java. Rice production in Klaten reaches 350 000 tons per year, while local demand is only 207 500 tons per year. Unfortunately, some areas become prone to flood because of overflow of the Dengkeng River. One of the worst impacted areas is the Jiwo Wetan Village in Klaten Regency, where, in 2017, there was a crop failure of 35.2 ha which was suffered by 123 farmers.
Based on the results of the mapping with Geographic Information System (GIS) and interview conducted with the Head of Village and the Head of Sonorejo's Farmers Group Association (Gapoktan), wetland that is mostly prone to flood is located in the eastern part of the Sonorejo Village, namely, Langsur and Ngiser, that is directly adjacent to the Bulakrejo and Sukoharjo Village. The land altitude in those areas is lower than the surrounding areas, and the water drains (drainage) are not functioning properly, resulting to the flooding in the field.
The research area in Klaten Regency also has characteristics similar to the sample area in Sukoharjo Regency. The altitude of the Jiwo Wetan Region is lower than other areas around it. When the Dengkeng River overflows, the overflow leads in the terrain in the south of the village. If the inundation does not pass, then the water goes to the rice fields and settlements of the Jiwo Wetan Village.
The majority of the population in the Sonorejo and Jiwo Wetan villages rely on agriculture, especially crops and paddy rice. This condition causes the vulnerability on the livelihoods of farmers and their households. This study aims to deepen the understanding of the vulnerability of people's livelihoods in flood-prone areas in paddy field in the Sonorejo Village and Jiwo Wetan Village, which are based on the results of the mapping with GIS and livelihood vulnerability index (LVI). The benefit of this research is to find out whether areas that have the same level of hazard and the same dependence on agriculture will have the same level of vulnerability.

Methods and data analysis
Geographic Information System is used as a tool to find the area that is prone to flood. Thereafter, the analysis of the vulnerability of households' farming based on flood occurrence will be conducted by using LVI calculations, which is based on the primary data obtained. Furthermore, the results are described as follows.

Analysis by Geographic Information System
The utilisation of GIS has been done to identify areas of potential disasters. Wood and Good (2004) identify vulnerability at airports and seaports as catastrophic earthquake and tsunami. Saptutyningsih and Suryanto (2011), measure the environmental and social impact caused by natural disasters (ND). This research used the GIS to map the flood-prone areas in the Sonorejo Village and Jiwo Wetan Village by taking some variables into account, such as flood event data, curvature of the river, slope and land use.

Livelihood vulnerability index approach
Vulnerability is one of the factors that determines whether people have risks to their livelihoods or not. According to IPPC (2007), the vulnerability assessment measures the ability of the community to respond to hazard and or secure their livelihood. Therefore, the index is used for comparison among the communities. Vulnerability Index or LVI was developed by Hahn, Riederer andFoster (2009), Madhuri, Thewari, andBhowmick (2014), Simane, Zaitchik and Foltz (2016) and Richardson et al. (2018). This study wants to measure the vulnerability of households living in areas classified as flood-prone in Sukoharjo Regency and Klaten Regency. Most of the LVI studies were conducted to see differences in the level of vulnerability in different regional characteristics. Some examples of studies, Hahn et al. (2009) use LVI for coastal and inland populations, Simane et al. (2016) see differences in the characteristics of highland and lowland ecosystems and Richardson et al. (2018) further see LVI as a basis for predicting food security in a region. Nevertheless, the LVI calculations by Hahn et al. (2009) is applied in this study, which consists of the following seven main components: • Socio-demographic profile (SDP) • Livelihood strategies (LS) • Health (H) • Food (F) • Water (W) • Social networks (SN) • Natural disasters (ND) and climate variability According to Hahn et al. (2009), LVI component consists of several sub-components or indicators. These sub-components are developed based on a literature study of each major component. Table 2 shows how each of these sub-components is taken into account and limits the ability or potential bias.
Each of these sub-components is calculated with different scales; therefore, an index is needed to calculate all the components as a whole. Accordingly, the composite index approach was used to convert the scale of each subcomponent derived from The Life Expectancy Index (UNDP 2007), which is calculated as follows: where, S d is the value of the sub-components of the area d, and S min and S max indicate the minimum and maximum values of each sub-components that is determined by the data from the study area. Once standardised, the sub-components are averaged by using the following formula, and then calculate the value of its main components.  Percentage of households that report water is not available at their primary source everyday Recall bias (more likely to remember several consecutive days of water shortage) The inverse of the average number of litres of water stored per household (range: > 0-1) The inverse of (the average number of litres of water stored by each household +1) Lack of information about the size of containers Social networks Average receive: Given ratio (range: 0-15) The ratio of (how much help received by household in the past month +1) to (the number of types of help given by a household to someone else in the past month +1) Confusion who is the family (immediate) and who is a relative (extended), reliance on selfreported types of help Average borrowed: Lend money ratio (range: 0.5-2.0) The ratio of household borrowing money in the past month to a household lending money in the same month, for example, if a household borrowed money but did not lend money, the ratio = 2:1 or 2 and if they lent money but did not borrow any, the ratio = 1:2 or 0.5 Reliance on self-reported money exchanges, does not consider exchange of non-monetary goods Percentage of households that does not seek for assistance to their local government in the past 12 months Percentage of households that reported they did not ask their local government for any assistance in the past 12 months

Livelihood Vulnerability Index approach-Intergovernmental Panel on Climate Change
Livelihood Vulnerability Index-Intergovernmental Panel on Climate Change (IPCC) index is an alternative method used when calculating LVI according to the IPCC definition of vulnerability. Table 3 shows the composition of seven key components of LVI-IPCC approach. The population exposure in this research is measured based on the number of floods that occurred in the last 5 years, while climate variability is measured by the average standard deviation of monthly maximum and minimum temperature and a monthly precipitation over a period of 5 years. Adaptive capacity is measured by the demographic profile of the area (headed by women), occupation of LS and SN (the percentage of households who helped neighbours). Then, sensitivity is measured by determining the present food status, water assurance and the health status of a region. The index showed in Table 3 is also used to calculate LVI-IPCC. The calculation of LVI-IPCC is different from the main components of LVI combined. Firstly, all components will be combined by category plan in Table 3 by using the following equation: where, CF d represents the contributing factors according to IPCC (exposure, sensitivity or adaptive capacity) for area d (Sonorejo Village); M di represents a main component for area d, which is indexed by I; WM i represents the quality of the main component; n represents the number of the main components of each contributing factor. The combination of these three contributing factors is calculated using the following equation:

Ethical considerations
Respect for the dignity of research participants was prioritised. Anonymity of individuals and organisations participating in the research were ensured.

The curvature of the river
The curvature of the river is the ratio between the valleys and the length of the river. The river in the eastern of Sonorejo Village is a meandering river that flows over gently sloping ground that begins to curve back and forth across the landscape. Meandering river has asymmetric channels. The deepest part of the channel is found outside of each bend. The water flows faster in these deeper fragments and grinds down material from the riverbank. The water flows more gently in the shallow areas near the inside of each bend. The slower flow of water cannot carry much residue and deposits its load on a series of point bars. Meandering rivers erode The characteristics in the Jiwo Wetan Village area have similarity with the Sonorejo Village. Although the meandering is not like in Sonorejo, yet Jiwo Wetan is potentially flooding because the south of the village is the terrain of the Pegunungan Seribu, Yogyakarta. When rainfall is high, rainwater flows into the Dengkeng River and has the potential to increase the vulnerability of the area in Jiwo Wetan Klaten.

Slope
Slope in the Sonorejo Village, Sukoharjo sub-district, shows that most areas in the Sonorejo Village are flat with slope level ranging between 2% and 6%, which leads to the conclusion theoretically that the Sonorejo Village is highly susceptible to flooding. Slope in the Jiwo Wetan Village, Klaten Regency, is approximately 2% -7%.

Land use
Land use index is determined by a map of land use and land use information on RBI topographic maps. The data collected are then contributed to the mapping of land use. The result shows that the Sonorejo and Jiwo Wetan villages are classified into three categories of land use, that is housing, irrigated fields and farming.

Potential flooding
Flood is a condition of overflowing of a large amount of water. Figure 1 shows the mapping of flood-prone area in the Sonorejo and Jiwo Wetan villages.
Based on Figure 1, the areas marked with dark red are the area mostly prone to flooding in the Sonorejo Village. Based on the results of the mapping using GIS with the consideration of a variable number of flood events, local curvature of the river, slope and land use, it can be seen that Langsur and Ngiser in the Sonorejo Village are two areas prone to catastrophic flooding in lowland rice fields compared with other areas.
Based on Figure 2, the results of the mapping using GIS with the consideration of a variable number of flood events, local curvature of the river, slope and land use, it can be seen that most areas in Jiwo Wetan are marked dark red.    Table 4.

Analysis of livelihoods vulnerability
Based on the level of vulnerability classification conducted by Hahn et al. (2009), it is known that the scale of the LVI value is set between 0 and 0.2 (not vulnerable), 0.21 and 0.40 (vulnerable or moderate) and 0.41 and 0.5 (very vulnerable). The results of the calculations in Table 4 can be interpreted as measured variables including the following.

Socio-demographic profile
The socio-demographic index of the Sonorejo Village is 0.235 and the Jiwo Wetan Village is 0.145. The proportion of the population of non-productive age, education pursued by the head of the family and the limitations of family members are still at a moderate level. The percentation of women as family heads is 0.115, while in the Jiwo Wetan Village it is higher at 0.368. This index shows that families led by a woman will be more vulnerable than households led by a man.

Livelihood strategy
The livelihood strategy index from the Sonorejo Village is 0.392, while in the Jiwo Wetan Village it is 0.499. The index of household sub-components that are based on the agricultural sector in Sonorejo sub-district is 0.607, while in the Jiwo Wetan Village it is 0.645. This shows that family dependence on the agricultural sector is more susceptible to climate change than families who do not only rely on the agricultural sector. Besides farming they also work outside the city and other economic sectors.

Health
The comparison of the health index numbers shown by the Sonorejo Village is 0.263, while in the Jiwo Wetan Village it is 0.245. In the health sub-component, the distance between health facilities and the number of families who have members with chronic diseases shows a moderate number. Based on the health degree vulnerability index, it can be concluded that the residents in the Sonorejo and Jiwo Wetan villages are not very vulnerable to climate change. Geographically, the Sonorejo and Jiwo Wetan villages are not isolated from health service centres.

Food
Based on the survey results, several families in the Sonorejo and Jiwo Wetan villages have the same characteristics in terms of food components. If the level of vulnerability in the Sonorejo Village is 0.426, then in Jiwo Wetan Village it is not significantly different at 0.445. This is because of changes in rainfall patterns and high rainfall as a result of climate change that causes flooding or inundation in the paddy fields of Sonorejo and Jiwo Wetan villages, resulting in crop failure and a decrease in rice productivity. As a result, farm households that get the main food source from their own crops become vulnerable to climate change. Based on the food sub-component index, households whose main source of food comes from their own crops do not store it for use when unpredictable conditions are the most vulnerable to climate change.

Water
Households in the Sonorejo Village in the water component showed a relatively moderate level of vulnerability with an index number of 0.274. As many as 78.7% of families in the Sonorejo Village use natural water sources to meet their daily water needs with consistent water availability (always available), while 8.19% or five families are recorded as not having a consistent water source. This is because their water sources sometimes have a salty or cloudy taste, so they have to find other water sources to meet their family's water needs.
The level of vulnerability in water resources in the Sonorejo Village is higher than in the Jiwo Wetan Village. Water problems in the Jiwo Wetan Village will appear during the dry season, but not significantly.

Social networks
The Social Network Indicator in the Sonorejo Village shows that most of the people in the Sonorejo Village did not request assistance from the local or local government during the past year (as many as 65.57% or 40 households). While in the Jiwo Wetan Village, the majority of the population also did not ask for government assistance except because of the agricultural insurance premium subsidy programme. Based on the results of the survey conducted, in Sonorejo Village the agricultural insurance programmes are still at the socialisation stage, while in the village area Jiwo Wetan has implemented the programme. The agricultural insurance programme in the Jiwo Wetan Village has given claims to farmers who have experienced crop failure.

Natural disasters and climate variability
The index number of ND and climate variability in the Sonorejo Village is 0.495; this figure shows that farmers in Sonorejo sub-district are very vulnerable to floods because of their location adjacent to Langsur River and lower terrain than other regions in Sonorejo sub-district. Based on the average number of floods reported in the past 6 years, as many as 85% of families did not get a warning or notification that there would be heavy rain or flooding. However, for the Jiwo Wetan region 0.445 is lower than in Sonorejo. This information is important considering the population of Jiwo Wetan when the rainy season almost always suffers from flooding because it is topographically bordered by the Dengkeng River and Pegunungan Seribu.

Livelihood Vulnerability Index-Intergovernmental Panel on Climate Change approach
Livelihood vulnerability index/LVI-IPCC is a measure of vulnerability of farmer households in disaster-prone areas with three measurement indicators, namely, exposure, sensitivity and adaptive capacity. The formula LVI calculation formula based on the IPCC is: where, LVI-IPCC d is a formula to measure the level of vulnerability of a community or community using the IPCC framework; E d is a score calculation from community or community exposure; A d is the calculation of the score from the capacity of a community or community and S d is the calculation of the sensitivity of a community or community.
Livelihood Vulnerability Index-Intergovernmental Panel on Climate Change is an alternative method for making the alleged vulnerabilities of communities relative to the effect of climate change developed from LVI. The Final IPCC weighted LVI scores range between (-1) and (-0.4) is not vulnerable, (-0.41) and (0.3) is vulnerable or moderate and (0.31) and (1) is the most vulnerable (Table 5).
The overall value of LVI-IPCC indicated that the vulnerability of farmers' livelihoods to flood in the Sonorejo Village goes in the category of vulnerable or moderate by 0.044 on index figure. Although Jiwo Wetan has a lower LVI than Sonorejo, LVI Jiwo Wetan is still classified as vulnerable. LVI Score in Jiwo Wetan is -0.032. The agricultural insurance programme is proven to reduce losses for farmers in Jiwo Wetan. If the social network score in Sonorejo reaches 0.482, then in Jiwo Wetan it is at the level of 0.245.

Conclusion
According to the mapping result using GIS, rice field in the Sonorejo Village, especially in Langsur and Ngiser, has high level of vulnerability to flood because of its lower altitude than other areas.
The results of the research show that farmers in the Sonorejo Village is vulnerable to climate change by 0.363 and 0.044 index calculated by using the LVI and LVI-IPCC approach, respectively. In Jiwo Wetan, LVI is lower than in Sonorejo Village (0.275) and LVI-IPCC is also lower than in Sonorejo Village (-0.032).
The LVI index measurement results show that two regions that have the same characteristics also have different levels of vulnerability. Strengthening population capacity can be done by expanding the agricultural insurance network. Although agricultural insurance still depends on government subsidies, this policy eases the burden on farmers who experience crop failure.