The comparison of relationship between climate variables and rice productivity in the clustering area on Java Island, Indonesia

Abstract This study aims to compare the relationship between climate variables and rice productivity under different irrigation systems (irrigated rainfed) in clustering area on Java Island, Indonesia. used areas resulting from previous study. The are bias-corrected MERRA2 data period 1987–2017, cropped for Island. reference evapotranspiration this results of simulation Aquacrop modeling. result cluster method tends divide Island into 2 clusters with altitudes (lowland highland) areas. show that correlation values precipitation variable (both irrigated or 1 (dominated lowlands) higher than highlands), contrary highlands) areas, compared lowlands). R-square response surface methodology (RSM) rainfed system both those system. indicates agriculture is highly dependent variables, especially regular agricultural RSM also shows significantly contribute variation generated by modeling all clusters.