Community livelihood vulnerability level in northern and southern coastal area of Java, Indonesia

Gravitiani, Evi; Fitriana, S N; Suryanto, Suryanto

doi:10.1088/1755-1315/202/1/012050

Cited by 8 publications

(9 citation statements)

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“…The higher the exposure to unpredictable weather the more the possibility of the small-scale fishermen to have a very serious livelihood vulnerability. Gravitiani et al (2018) added that climate change has a bad effect on people living in coastal regions. When the sea level is up, it will often cause tides, flood, and abrasion that may bring a livelihood of small-scale fishermen more distressful and vulnerable.…”

Section: Resultsmentioning

confidence: 99%

“…The calculation and the analysis of livelihood vulnerability of this study used index value of LVI as formulated by IPCC (Intergovernmental Panel on Climate Change) to value how deep the vulnerability of livelihood is as caused by ecological change. Gravitiani et al 2018 stated that LVI-IPCC is an alternative method as the proxy to count how serious the livelihood vulnerability of a community is due to climate change. Based on the IPCC et al (2014) to measure vulnerability one needs to take into account three main parameters, namely: exposure, sensitivity, and adaptive capacity.…”

Section: Livelihood Vulnerability Indexmentioning

confidence: 99%

“…Meanwhile, the livelihood vulnerability index of small-scale fishermen household of the research of Gravitiani et al 2018 as drawn from the fishermen household in south coast of Java, Yogyakarta has shown a mean-value of LVI-IPCC of -0.007. Likewise, drawing from the case study of Nissa, et al (2019) it is also found that small-scale fishermen households in the Regency of Tegal, Central Java have less degree of livelihood vulnerability.…”

Section: Livelihood Vulnerability Indexmentioning

confidence: 99%

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Rural Livelihood Vulnerability and Resilience: a Typology Drawn from Case Studies of Small-Scale Farmers and Fishermen in Indonesia

Dharmawan

Nissa

2020

Sodality

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Various studies on rural household livelihood systems have been carried out in Indonesia to explain the level of household livelihood vulnerability in both farming and fishing communities. The livelihood of small-scale farmers and fishermen is usually vulnerable due to climate and non-climate pressure. This desk study compares the results of studies on livelihood vulnerability from various theses, dissertations and scientific journal articles with a similar topic of study. A case study analysis is used to figure out a comparative picture of small-scale farmers and fishermen households in responding to the pressure as well as making adaptive actions to survive. The weakness of this study is that the conclusion cannot provide evidences as a basis for deriving generalization. Rather it only provides an initial description of the socioeconomic responses as shown by small-scale farmers and fishermen in reacting to ecological pressures. This study comes up with a typology of pressure faced by small-scale farmers and fishermen households. There are four types of stressor that are identified, i.e., climate variability, capital farm expansion, rural-infrastructure development, and economic actorcompetitions. In responding to livelihood vulnerability, most of small-scale farmers and fishermen build their resiliency by using resources under the controlled household system while others use external sources.

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Section: Resultsmentioning

confidence: 99%

Section: Livelihood Vulnerability Indexmentioning

confidence: 99%

Section: Livelihood Vulnerability Indexmentioning

confidence: 99%

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Rural Livelihood Vulnerability and Resilience: a Typology Drawn from Case Studies of Small-Scale Farmers and Fishermen in Indonesia

Dharmawan

Nissa

2020

Sodality

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“…Pengumpulan data primer dilakukan melalui wawancara berdasarkan daftar pertanyaan yang telah disusun yang berisi tentang informasi profil responden dan pertanyaan yang berkaitan dengan kerentanan penghidupan yang diadopsi dari studi Intergovernmental Panel of Climate Change (IPCC). Kerentanan penghidupan pembudi daya ikan nila keramba jaring apung dapat diketahui dengan formula LVI IPCC dalam bentuk persentase melalui interpretasi tiga komponen utama, yaitu exposure (eksposur sosial, ekonomi, dan ekologi), adaptive capacity (profil, sosio demografi, strategi penghidupan dan jaringan sosial), dan sensitivity (kesehatan, pangan, air) (Tabel 1) (Hahn et al, 2009;Gravitiani et al, 2018). Formula tersebut dikembangkan berdasarkan tinjauan literatur pada setiap komponen utama serta kepraktisan Perhitungan LVI dalam penelitian ini juga menggunakan pendekatan IPCC yang menerapkan bobot yang sama untuk semua komponen utama.…”

Section: Jenis Sumber Dan Teknik Pengumpulan Dataunclassified

“…LVI-IPCC adalah metode alternatif yang dikembangkan dari LVI sebagai proksi kerentanan penghidupan masyarakat yang disebabkan oleh perubahan iklim. Skala dari -1-(0,4) yang merujuk pada tidak rentan, -0,41-0,3 yang mengacu pada rentan/sedang, dan 0,31-1 yang mengacu pada sangat rentan (Gravitiani et al, 2018). Secara umum, LVI mengukur rata-rata dari setiap komponen, sedangkan pada LVI -IPCC komponen diintegrasikan ke dalam tiga komponen utama dan diukur menggunakan rumus yang berbeda (rumus LVI -IPCC ).…”

Section: Jenis Sumber Dan Teknik Pengumpulan Dataunclassified

Indeks Kerentanan Penghidupan Pembudidaya Ikan Nila Keramba Jaring Apung Di Waduk Gajah Mungkur, Kabupaten Wonogiri

Nissa

Suadi

2022

Jurnal Sosial Ekonomi Kelautan dan Perikanan

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Pengembangan budidaya ikan nila memberikan manfaat bagi masyarakat pedesaan berupa lapangan kerja, dan sumber pendapatan masyarakat. Namun variabilitas dan perubahan iklim ditengarai sebagai salah satu faktor penyebab kematian massal ikan yang menyebabkan kerugian ekonomi, sosial dan lingkungan. Cuaca ekstrem bisa lebih berbahaya bagi ikan nila keramba jaring apung di Waduk Gajah Mungkur. Studi ini bertujuan untuk mengungkapkan kerentanan penghidupan pembudidaya ikan nila keramba jaring apung di Waduk Gajah Mungkur. Pengumpulan data dilakukan dengan pendekatan metode campuran seperti survei, wawancara mendalam, diskusi kelompok terfokus dan observasi. Unit analisis data dilakukan di tingkat rumah tangga dengan melibatkan empat puluh pembudi daya skala kecil. Indeks Kerentanan Mata Pencaharian (LVI) berdasarkan Intergovernmental Panel Climate Change (IPCC) digunakan untuk analisis data. Hasil penelitian menunjukkan bahwa tingkat kerentanan penghidupan pembudidaya ikan nila sakal kecil pada keramba jaring apung berdasarkan LVI-IPCC dapat dikategorikan tidak rentan dengan nilai indeks 0,042. Oleh karena itu, penghidupan pembudi daya ikan nila keramba jaring apung di Waduk Gajah Mungkur ,Wonogiri ini dinilai cukup tangguh. Adaptasi yang dilakukan pembudidaya di antaranya adaptasi sosial melalui kuatnya hubungan sosial antar komunitas pembudidaya ikan dan tingginya partisipasi dalam keanggotaan kelompok sosial. Adaptasi teknologi dan ekologi melalui inovasi yang dikembangkan oleh setiap pembudidaya ikan seperti menggunakan mesin diesel untuk meningkatkan kadar oksigen, dan mengurangi jumlah plot saat perubahan musim serta mengontrol jumlah benih. Meskipun indeks tingkat kerentanan pembudi daya ikan nila keramba jaring apung di Waduk Gajah Mungkur Wonogiri dikatakan tidak rentan, masih diperlukan adanya program pemberdayaan SDM untuk meningkatkan sistem penghidupan yang berkelanjutan.Title: Livelihood Vulnerabiliy Index of Small Scale Tilapia Fish Farmer Floating Net Cages in the Gajah Mungkur Reservoir, Wonogiri RegencyThe development of tilapia aquaculture provides benefits for rural communities in the form of employment and source of income community. However, the variability and climate change are suspected as one of the factors causing mass fish mortality which causes economic, social and environmental losses. Extreme weather can be more dangerous for floating net cages in the Gajah Mungkur Reservoir. This study reveals the vulnerability of the livelihoods of floating net cages in the Gajah Mungkur Reservoir. Data Collected used method is a mixed methods approach such as surveys, in-depth interviews, focus group discussions and observations used to collect data. Unit analysis was carried out at the household level involving 40 small-scale farmers. The Livelihood Vulnerability Index (LVI) based on the Intergovernmental Panel Climate Change (IPCC) was used for data analysis. The results showed that the level of vulnerability of small-scale tilapia cultivators in floating net cages based on LVI-IPCC can be categorized as ‘not vulnerable’ with an index value of 0.042. Therefore, the livelihood of this floating net cage tilapia fish farmers in the Gajah Mungkur Wonogiri Reservoir is considered quite tough. Adaptations that are carried out by fish farmers include social adaptation through strong social relationships between fish farmer communities and high participation in social group membership. Technology and ecological adaptation through innovations developed by each fish farmer such as using a diesel engine to increase oxygen levels, and reduce the number of plots when the seasons change and control the number of seeds. Although the vulnerability index of floating net tilapia cultivators in the Gajah Mungkur Wonogiri Reservoir is said to be not vulnerable, it is still necessary to have a human resource empowerment program to improve a sustainable livelihood system.

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Pastoralists under threat continuum: quantifying vulnerabilities of pastoralists to climate variability in southern Ethiopia

2022

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Community livelihood vulnerability level in northern and southern coastal area of Java, Indonesia

Cited by 8 publications

References 1 publication

Rural Livelihood Vulnerability and Resilience: a Typology Drawn from Case Studies of Small-Scale Farmers and Fishermen in Indonesia

Rural Livelihood Vulnerability and Resilience: a Typology Drawn from Case Studies of Small-Scale Farmers and Fishermen in Indonesia

Indeks Kerentanan Penghidupan Pembudidaya Ikan Nila Keramba Jaring Apung Di Waduk Gajah Mungkur, Kabupaten Wonogiri

Pastoralists under threat continuum: quantifying vulnerabilities of pastoralists to climate variability in southern Ethiopia

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