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Application of online information system for delivering the rice planting time prediction in Indramayu
Susandi A.a, Tamamadin M.a, Siregar P.M.a, Djamal E.b, Las I.b, Farhamsa D.c, Surmaini E.b
a Expert Group of Atmospheric Science, Institut Teknologi Bandung, Labtek XI Building, Indonesia
b Indonesian Center for Agriculture Socio Economic and Policy, Ministry of Agriculture, Indonesia
c Department of Physics, Tadulako University, Mexico
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]One of the impact of rainfall pattern change is that farmers are difficult to determine the planting time. The solution to this problem is role of climate modeling improved to the highest resolution and accuracy to help farmers in determining the planting time accurately. This paper describes the research resulting the Geographical Information System (GIS) implemented to the planting time prediction that the prediction previously has been produced. A climate model using the stochastic approach and modifying the function of fourier and polynomial to be implemented in predicting the rice planting time in Indramayu has shown the higher accuracy, namely up to 0.85 of correlation in forward prediction and 0.82 of R-Square in backward prediction. The information delivery system has been developed online and provides the information on rainfall and planting time prediction as well as the space for feedback from the agricultural stakeholders to evaluate the shown prediction in Indramayu. The method used to get this results including mapping on rice planting prediction, converting the format file, developing database system, developing website, and posting website. Because of this map was overlaid with the google map, the map files must be converted to the .kml file format. The result is the online information delivery system providing the rice planting time and rainfall prediction in form of maps in highest resolution and accuracy to be used by farmers in Indramayu to make strategy for the forward planting time. In addition, the space of feedback is also provided to evaluate the results of prediction in order to improve the accuracy.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Accuracy,Indramayu,Information delivery system,Rainfall prediction,Time predictions[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Accuracy,Indramayu,Information delivery system,Planting time prediction,Rainfall prediction[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]