Estimasi Curah Hujan Kota Banjarbaru Kalimantan Selatan Menggunakan Metode Jaringan Syaraf Tiruan
Abstract: Rain is weather
phenomenon caused by climate’s physical conditions of atmosphere variables such
as temperature, air pressure, air density, humidity and wind of velocity. Many
researches on rain have been undertaken in Indonesia. Many statistic models are
resulted from those researches; nevertheless, in statistic models climate’s
physical conditions are not considered as components which affect the rain
occurrence. Besides, estimating the amount of rain that is to fall-whether it
is increasing, decreasing, or static- with statistic models is still unsure.
Physical and mathematical approaches of weather variables only are not enough
to estimate rainfall. More interpretations are needed to apply. Therefore, this
research implements a way to estimate daily rainfall using a method called
Artificial Neural Network. As parameter of the inputs of JST program, then the
data of daily temperature, air humidity and wind speed play important roles,
while the output which is manifested in daily rainfall tested in data scale, a
period of 5-9 years. The results obtained show that JST method enables us to
estimate daily rainfall of Kota Banjarbaru.
Penulis: Muhammad Rizalihadi,
Simon S Siregar dan Sudarningsih
Kode Jurnal: jpfisikadd090071
