Penggunaan Korelasi Spearman Untuk Menguji Hubungan Suhu Dan Besarnya Curah Hujan Bulanan di Kota Padang

Abstract

Rain is one of the important hydrological components. Factors that affect the amount of rainfall in an area are temperature, air humidity, air pressure and wind direction. Previous research stated that there is a strong relationship between temperature and the amount of rainfall. This research was conducted to find out how strong the relationship between the amount of monthly rainfall that occurs in Padang City and the average temperature that occurs in each month for the last 30 years. The research method used is to use quantitative methods using descriptive statistics and non-parametric (spearman correlation test). The selection of the Spearman correlation test was carried out based on the results of the data normality test using the One Sample Anderson-Darling, Ryan-Joiner and Kolmogorov-Smirnov method. Data on temperature and rainfall for the city of Padang are not normal even though they have been normalized using the Box-Cox tranformation method. Spearmen's correlation test shows that there is no significant relationship between the amount of rainfall and temperature with a correlation level of only 9% with a P-Value of 0.087 > 0.05 or 0.001. Further research is needed to find out how strong other factors such as air pressure, humidity and wind direction are on the amount of rainfall in the city of Padang.