RELATIONSHIP ANALYSIS OF CLIMATE VARIABILITY AND PRODUCTIVITY IN EAST NUSA TENGGARA (CASE STUDY: KUPANG)

• Main Author: Prabawatie, Yetty
• Format: Final Project
• Language: Indonesia
• Subjects: Geologi, hidrologi & meteorologi
• Online Access: https://digilib.itb.ac.id/gdl/view/33750
• Institution: Institut Teknologi Bandung

Corn is the second most important food after rice and is a staple food of East Nusa Tenggara. National corn demand continues to increase every year (10% -15% per year), while maize production in the country has not been able to fulfill. Besides influenced by non-climatic factors, yields of corn are also influenced by climatic factors. So that climate variations also affect corn yields. Thus it is quite interesting to examine the relationship of climate variability on the productivity of maize in East Nusa Tenggara. In this study, regression analysis and Goodness of Fit test is used to see the relationship between the corn productivity with climate variability. The climate variables used such as observed rainfall, Nino 3.4 SST anomaly, Southern Oscillation Index anomaly (SOI), Australia monsoon index, drought index of agricultural, flood index of agriculture and weather index of agriculture. Furthermore, simulating the corn productivity using observation climate data to see the closeness between real data and simulation data. Results of regression analysis and Goodness of Fit test between the corn productivity to climatic variables showed that observed rainfall, Nino 3.4 SST anomaly, and flood index of agriculture are climate variables have a strong and significant correlation. Where the flood index is a variable that represents southern oscillation index (SOI) and Australian monsoon index (AUSMI). Great correlation between corn productivity by rainfall, Nino 3.4 SST anomaly, and flood index amounted to 0,62; 0,589; and 0,064. The results of the simulation of the corn productivity using observation data shows the closeness of models, with a correlation of 0,822 and RMSE of 0,56.