ABSTRACT
The limited sources of income in the Wonogiri Regency will impact the tendency of repressive community actions towards empowering surrounding resources, including cassava farmers. After Covid 19, the cassava economy was used as leverage for changes in the rural economy. The objectives of this study are (1) to determine the influence of environmental management on the inputs and outputs of cassava farming, (2) to diagnose fluctuations in the vulnerability of cassava farming, and (3) to analyze cassava problems in production and farming sub-systems. The research locations were in 2 subwatershed of Bengawan Solo areas, namely the Keduang Sub-Watershed (Ngadirojo District and Jatiroto District) and the Wiroko Sub-Watershed (Tirtomoyo District), with 120 respondents. The analysis used is the input-output analysis of farming, descriptive analysis, and t-test analysis. The results showed a difference between an environmentally sound cassava farming business and one that does not, with an error rate of 1% and a coefficient of 1,802% in terms of income (output) and cost (input). The vulnerability occurs when cassava cultivation is processed on a sharp slope of the soil, making it highly costly. The performance of environmentally sound cassava farming positively impacts production and income, but there are limited funds and technology.
ABSTRACT
The socioeconomic characteristics of the community in the Bengawan Solo Hulu watershed allow the agribusiness MSMEs business process to occur in production and significantly impact aspects of socioeconomic life. The limited reliable sources of income will affect the community's tendency to repressive actions. The purpose of the study is (1) to determine the sociodemographic conditions of agribusiness MSME households, (2) to determine the effect of the season on the achievement of agribusiness MSME output, and (3) to find out the solutions of Agribusiness MSMEs. The research method used was a survey on Agribusiness MSMEs by taking locations in 2 Sub-watershed, Alangunggahan Sub-Watershed (Eramoko District) and Keduang Sub-Watershed (Jatipurno District and Jatisrono District) with a total sample of 60 MSMEs. The analysis used is the input-output analysis and Econometric analysis. The results showed that the R2 value was 87.14%, the F test was significant at 95%, and all sociodemographic variables were significant except the age factor of Agribusiness MSME actors. There is a significant seasonal difference in the achievement of agribusiness MSME output. This phenomenon indicates that post-Covid, efforts have risen from the Covid 19, and seasonal differences are considered in decision-making efforts to increase output achievements in the Agribusiness MSME.
ABSTRACT
Purpose. This study analyzed multidimensional poverty in cassava farm households in Wonogiri Regency, Indonesia.Methodology / approach. The main method was a descriptive quantitative approach. Moreover, a purposive method was used in determining the study area, considering that Wonogiri Regency is the largest cassava production area in Central Java Province. The number of research samples was 100 cassava farm households. The data analysis method used the Multidimensional Poverty Index (MPI).Results. The headcount ratio (H) based on an analysis of 0.190 meant that 19 % of cassava farm households had poor multidimensional status, and another 81 % were not poor. Furthermore, the intensity of poverty (A) was 0.333, meaning the average deprivation of poor farmers was 0.333. In addition, the Multidimensional Poverty Index of cassava farm households was 0.063. Although the average weight of deprivation indicators of immunization, child mortality, school participation, sanitation, drinking water, and electricity was 0, it must be maintained to achieve the Sustainable Development Goals.Originality / scientific novelty. Poverty analysis with the Multidimensional Poverty Index approach has never been carried out on cassava farm households in the study area. Previously, data analysis was conducted in the study area included the potential of cassava in the context of food security, cassava-based agro-industrial development strategies, value-added analysis of cassava -based agro-industry, cost structure analysis and feasibility of cassava farming, risk analysis and distribution of cassava farming income as a result of climate change, income distribution with the Gini Index and Lorentz Curve. Therefore, this study fills the gaps in the literature.Practical value / implications. There is a need to improve the education of farmers' children and future generations of farmers, and to increase the knowledge and understanding of farmers through advisory work in agriculture. The change of cooking fuel from wood and shrubs to liquefied petroleum gas needs should be implemented to improve the living standard of cassava farm households. The floor and roof components of houses need to be refined to improve the living standards of cassava households and increase access to the Internet as a means of information and communication. Improvements in education, health and living standards as multifaceted components must be carried out to achieve the Sustainable Development Goals (SDGs), especially in relation to poverty.
ABSTRACT
Early Warning Early Action: Report on Food Security and Agriculture released by FAO April 2020 warns countries worldwide to be alerted to potential food crises caused by the Covid-19 pandemic. Almost all countries worldwide are experiencing Covid-19 is no exception impacting the agricultural sector. This decrease in production and welfare level is due to the reduction of agricultural crop production. One of the risk factors for food security in the Covid pandemic era is extreme weather. Climate change causes global and domestic food stocks to decline and causes fluctuations in food prices and the food logistics system. This condition impacted the decrease in farmers’ income and welfare (NTP = Farmer Exchange Rate) and resulted in the poverty of farmers’ households. This study aims to (1) identify the production and income reductions from climate change and the impact of the Covid-19 pandemic, (2) analyze the poverty level of farmer households, (3) knowing the coping mechanism of farmer households to address climate change and the impact of Covid-19. The method used is the Bengawan Solo watershed area survey method with sample locations in 3 sub-districts with 120 farmer respondents interviewed with a structured questionnaire guide and FGD. The analysis method used descriptive analysis, income analysis, and poverty analysis. The results showed that farmers’ incomes decreased by 43.2%. The poverty rate of farmers increased with a shift of 9.8%;coping mechanism farmers persisted by paying attention and adhering to the health protocols of Covid-19 and trying to increase land productivity to meet daily needs.