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Family Farm Resilience during the COVID-19 Pandemic in Indonesia: Case Studies on Organic and Conventional Farming Saleh, Rahmat; Sitohang, Marya Yenita; Ningrum, Vanda; Latifa, Ade; Ibnu, Fitranita; Fatoni, Zainal
Jurnal Penyuluhan Vol. 20 No. 02 (2024): Jurnal Penyuluhan
Publisher : Department of Communication and Community Development Sciences and PAPPI (Perhimpunan Ahli Penyuluhan Pembangunan Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25015/20202453727

Abstract

The COVID-19 pandemic has brought additional stressors to Indonesian family farms, which are already subject to drought, flood, landslide, pest attack, and market price fluctuations. This study aims to analyse family farms’ resilience to the stressors caused by the COVID-19 pandemic using Henry’s family resilience model. Applying a qualitative approach, this study collected data using focus group discussions in two villages in East Java and a village in Center Java. The data was analysed using thematic analysis. We discovered that stressors related to the COVID-19 pandemic are lower demand on agricultural products and lower income among farmers. Organic and conventional farmers have different protection and vulnerability factors. Organic farmers are able to reach buyers directly using social media amid COVID-19 restrictions while conventional farmers still rely on sales through middlemen. The adaptive process of farming families is influenced by social psychological factors within the family such as meaning, emotion, control, and maintenance systems. This study suggests that family farmers have to be empowered in terms of their innovative production in current stressors and increase their access to the market as a priority for agricultural extension programmes.
Disability and Extreme Poverty in Indonesia: Analysis of National Socio-Economic Survey Data in 2020 Alabshar, Nufi; Pujiwati, Lina Agustina; Munawaroh, Titik; Fatoni, Zainal
Jurnal Kawistara Vol 14, No 1 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/kawistara.83519

Abstract

Extreme poverty has become a global issue,and several studies indicate its relationship with disability. So far, there has been limited studies related to extreme poverty in Indonesia. Moreover, spesific segments, such as extreme poverty in persons with disabilities, are increasingly challenging to find. This study examines the effect of disability and other control variables on extreme poverty in Indonesia. The data is derived from the 2020 National Socio-Economic Survey (Susenas), which surveyed 1,258,328 individuals. The data was processed using STATA 17 software. The method used in this study is logistic regression by observing disability as the primary independent variable and other socio-demographic variables as control variables. Our analysis show that disability has a positive and significant relationship with extreme poverty. Control variables such as residence area, age group, sex, education, number of household members, marital status, and employment sector also play a role in influencing extreme individual poverty. These findings are expected to be able to enrich literature relatedto disability and extreme poverty in Indonesia as well as to provide input for the government in efforts to eradicate extreme poverty by paying attention to vulnerable groups,especially persons with disabilities.
Disability and Extreme Poverty in Indonesia: Analysis of National Socio-Economic Survey Data in 2020 Alabshar, Nufi; Pujiwati, Lina Agustina; Munawaroh, Titik; Fatoni, Zainal
Jurnal Kawistara Vol 14, No 1 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/kawistara.83519

Abstract

Extreme poverty has become a global issue,and several studies indicate its relationship with disability. So far, there has been limited studies related to extreme poverty in Indonesia. Moreover, spesific segments, such as extreme poverty in persons with disabilities, are increasingly challenging to find. This study examines the effect of disability and other control variables on extreme poverty in Indonesia. The data is derived from the 2020 National Socio-Economic Survey (Susenas), which surveyed 1,258,328 individuals. The data was processed using STATA 17 software. The method used in this study is logistic regression by observing disability as the primary independent variable and other socio-demographic variables as control variables. Our analysis show that disability has a positive and significant relationship with extreme poverty. Control variables such as residence area, age group, sex, education, number of household members, marital status, and employment sector also play a role in influencing extreme individual poverty. These findings are expected to be able to enrich literature relatedto disability and extreme poverty in Indonesia as well as to provide input for the government in efforts to eradicate extreme poverty by paying attention to vulnerable groups,especially persons with disabilities.
Kemiskinan Multidimensi dan Ketahanan Pangan: Analisis Multilevel di Kalimantan Pujiwati, Lina Agustina; afriyanni, afriyanni; Harfina, Dewi; Fatoni, Zainal
Jurnal Ekonomi Kependudukan dan Keluarga Vol. 2, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Food security is a crucial issue for sustainable development and is highly influenced by multidimensional poverty. This study measures food security and multidimensional poverty in Kalimantan Island, analyzes the determinants of household food security through a multilevel approach, and explores the influence of multidimensional poverty and regional context on food security. Data were obtained from the March 2022 National Socio-Economic Survey, comprising 33,201 households and integrated with district-level characteristics. Multidimensional poverty was measured using the Alkire-Foster method, while food security was measured based on energy consumption and the proportion of food expenditure. A multilevel ordinal logistic regression was employed to examine both household and regional determinants. The results showed that 46.6% of households were food secure, while the rest were either vulnerable or food insecure. Household head education, saving ownership, and internet access significantly increased the likelihood of food security, while households with more than four members and multidimensional poor have a higher risk of food insecurity. At the regional level, agricultural villages and poor road conditions exhibited negative correlation with food security. Based on these findings, policies are recommended to strengthen food security through multidimensional poverty alleviation, green economic development, and infrastructure enhancement of regions that support the IKN.