Application of Multi-Input Transfer Function to Rainfall Data in Maluku
DOI:
https://doi.org/10.37010/nuc.v5i1.1551Keywords:
rainfall, maluku, transfer function of multi-inputAbstract
If the intensity of rainfall is too high, this can cause flooding in Maluku. The intensity of rainfall in Maluku is also strongly influenced by sea surface temperature conditions in the waters of the Indian Ocean and Pacific Ocean. In mid-2022 and 2023, floods in Maluku caused residents' houses to be submerged, damaged road access, and broken bridges. In this study, a multi-input transfer function was applied to rainfall data in Maluku. This research data is secondary data. The data used consists of 73 data from August 2017 to August 2023. Transfer function can determine the relationship and influence between input and output in a period of time. Multi-input transfer functions are used to understand how inputs contribute to outputs. Rainfall acts as the output and temperature, air humidity, and wind speed act as the inputs. Based on the results of the study, the inputs affect the output so that the multi-input transfer function formed produces a MAPE value of 16.42%. This value can be concluded if the function is accurate
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