Research Article
Model of Farmer‘s Adaptation Capacity in Facing Climate Change: Integration of Numerical Indicators and Local Specific Indicators In Subak
@INPROCEEDINGS{10.4108/eai.17-10-2024.2353702, author={I Putu Sriartha and I Wayan Krisna Eka Putra and Made Dwipayana and Kadek Rudiana and I Made Widnyana Pramana Putra}, title={Model of Farmer‘s Adaptation Capacity in Facing Climate Change: Integration of Numerical Indicators and Local Specific Indicators In Subak}, proceedings={Proceedings of the 6th International Conference on Law, Social Sciences and Education, ICLSSE 2024, 17 October 2024, Singaraja, Bali, Indonesia}, publisher={EAI}, proceedings_a={ICLSSE}, year={2024}, month={12}, keywords={adaptive capacity climate change rice field farmers subak}, doi={10.4108/eai.17-10-2024.2353702} }
- I Putu Sriartha
I Wayan Krisna Eka Putra
Made Dwipayana
Kadek Rudiana
I Made Widnyana Pramana Putra
Year: 2024
Model of Farmer‘s Adaptation Capacity in Facing Climate Change: Integration of Numerical Indicators and Local Specific Indicators In Subak
ICLSSE
EAI
DOI: 10.4108/eai.17-10-2024.2353702
Abstract
This research aims to analyze the adaptive capacity of irrigated rice farmers in facing climate change through the integration of subak local specific indicators and numerical indicators. The research located in Sawan District, Buleleng Regency, Bali. The research used a descriptive survey type design. The research sample was determined by two subaks in each zone, namely the upstream zone, middle zone and downstream zone randomly. In each subak sample, 3 leaders and 2 subak members were taken purposively. Data was collected using interviews, observation, documentation techniques and analyzed descriptively using an index. This research produce a pentagonal model of the adaptive capacity of farmers. The average farmer capacity index is at a high level. Two specific local indicators sourced from Subak's local wisdom, namely sociocultural capital and Subak's physical infrastructure capital, have the highest index, while 3 three numerical indicators have low indices. The implication of the research results is the importance of strengthening and integrating local specific indicators and numerical indicators in analyzing the adaptive capacity of irrigated rice farmers.