Open AccessDeveloping SIMASTI to disseminate information of season prediction and prepare for adaptation strategies in agriculture to climate change
Author(s) -
Andung Bayu Sekaranom,
Emilya Nurjani,
Rika Harini,
A. S. Mutaqin
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/451/1/012005
Subject(s) - agriculture , climate change , psychological resilience , dissemination , adaptation (eye) , environmental resource management , product (mathematics) , wet season , environmental science , extreme weather , climate change adaptation , business , natural resource economics , geography , environmental planning , political science , economics , ecology , psychology , mathematics , archaeology , neuroscience , biology , geometry , cartography , law , psychotherapist
Even though climate change has a multisectoral impact on the agricultural country Indonesia, farming sector experiences the most significant adversity. The concomitant climate uncertainty potentially harms in particular traditional farmers. Current technology is now able to predict weather and climate conditions, and as such, it is useful for farmers as an input to their decision-making process in farmland management. This paper explains the design of a mobile application created by researchers to present information on seasonal weather prediction that fits adaptation measures in the agricultural sector to climate variability. The product can help to enhance the adaptation capacity of communities to erratic climate, particularly farmers and the Office of Agriculture in Temanggung District. Also, the application is expected to provide recommendations for both parties to be able to reduce crop failure and subsequent loss due to climate variability and increase the resilience of farmers to climate change impact, especially the persistent increase and decrease in rainfall each in the rainy and dry season.