Proceedings of KNASTIK
PREDIKSI CURAH HUJAN BULANAN MENGGUNAKAN TIME SERIES (SINGLE EXPONENTIAL SMOOTHING) DAN KNN (STUDI KASUS : KABUPATEN PADANG PARIAMAN)
Abstract
Climate is average condition for certain time period. The one of few factors influence
the climate is rainfall. This research develops a system which can predict and give
information of monthly rainfall prediction and also for the next few months.
Climatology data from BMKG from 2000 to 2009 is need in this research. The data
consist of seven variable which are temperature, sunlight condition, air pressure,
humidity, wind speed, wind direction and evaporate. This research uses Exponential
Smoothing for rainfall prediction and K-Nearest Neighbor that need for rainfall
prediction classified. The result shows that the prediction accuracy is 58, 33%.
the climate is rainfall. This research develops a system which can predict and give
information of monthly rainfall prediction and also for the next few months.
Climatology data from BMKG from 2000 to 2009 is need in this research. The data
consist of seven variable which are temperature, sunlight condition, air pressure,
humidity, wind speed, wind direction and evaporate. This research uses Exponential
Smoothing for rainfall prediction and K-Nearest Neighbor that need for rainfall
prediction classified. The result shows that the prediction accuracy is 58, 33%.
Keywords
rainfall, exponential smoothing, k-nearest neigbour, expert system.
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