Covid-19 menimbulkan tantangan yaitu krisis kesehatan yang belum pernah terjadi sebelumnya di seluruh dunia, tidak terkecuali di Indonesia. Covid-19 telah menimbulkan dampak signifikan terhadap penurunan perekonomian nasional, termasuk sektor UMKM. Tujuan dari penelitian ini adalah mengetahui dampak pandemi Covid-19 terhadap pendapatan dan kemiskinan rumah tangga UMKM di DAS Keduang. Metode dasar dalam penelitian ini adalah deskriptif. Metode pengambilan sampel dilakukan secara purposive. Teknik pengumpulan data yang digunakan dalam penelitian ini yaitu wawancara menggunakan kuesioner terstruktur. Metode analisis data dalam penelitian ini menggunakan deskriptif komparatif dari pendapatan UMKM sebelum pandemi (2019) dan saat pandemi (2020). Analisis kemiskinan menggunakan Fosteer-Greer-Thorbecke (FGT) index. Hasil penelitian menunjukkan bahwa pandemi Covid-19 menimbulkan dampak terhadap penurunan pendapatan UMKM, peningkatan kedalaman kemiskinan, dan keparahan kemiskinan.

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.

Poverty is a central issue in development programs in Indonesia. Most people still depend on agriculture for their livelihoods with relatively low productivity and business income, so poverty are common in rural areas. Most of the Wonogiri residents work in agriculture, where one of the superior products is cassava, the largest producer in Central Java. Poverty reduction in agriculture is a critical factor in reducing poverty in Indonesia. This study examined the poverty status and determinants affecting the poverty status of cassava farmers in Wonogiri Regency, Indonesia. Purposive sampling techniques were used in 120 cassava farmers in Wonogiri Regency. Primary data were obtained with the aid of well-structured questionnaires and interviews. The data were analyzed using Foster-Greer Thorbecke (FGT) index and logistic regression (logit). The result of Foster Greer-Thorbecke's (FGT) analysis showed that headcount index (P0) was 0,3417, poverty gap index (P1) was 0,2092, poverty severity index (P2) was 0,1280. The logistic regression (logit) showed that determinants of the poverty status of cassava farmers were education, land area, household size, and farming experience. There needs to be an increase in education, land area, farming experience, and reduce the number of family dependents with family planning government programs.