PENERAPAN MACHINE LEARNING DALAM PREDIKSI CURAH HUJAN DENGAN ALGORITMA RANDOM FOREST DI WILAYAH KOTA PAGARALAM SUMATERA SELATAN

ISKARA, EDI and Affandi, Azhar Kholiq and Erni, Erni (2022) PENERAPAN MACHINE LEARNING DALAM PREDIKSI CURAH HUJAN DENGAN ALGORITMA RANDOM FOREST DI WILAYAH KOTA PAGARALAM SUMATERA SELATAN. Undergraduate thesis, Sriwijaya University.

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Abstract

The intensity of rainfall in Pagaralam City can be categorized as high each year, the condition of high rainfall intensity in the Pagaralam City area can cause several disasters such as landslides and floods. Therefore we need a rainfall prediction system that is able to predict rainfall in Pagaralam City. Information about rainfall will make the community ready for future disasters and support local community activities. The purpose of this study is to apply machine learning to obtain a model that is able to predict rainfall in Pagaralam City using the random forest. The data used in this study is daily weather data from the NASA POWER website. The results of the prediction of rainfall in the form of labeling rain or not rain which are visualized with a confusion matrix so that the value of is obtained accuracy 83, 47%, precision 88,68% and recall 90,98%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Machine Learning, Random Forest, Prediksi Curah Hujan
Subjects:	Q Science > QC Physics > QC980-999 Climatology and weather Q Science > QC Physics > QC994.95-999 Weather forecasting
Divisions:	08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User:	Edi Iskara
Date Deposited:	19 Dec 2022 02:20
Last Modified:	19 Dec 2022 02:20
URI:	http://repository.unsri.ac.id/id/eprint/83938

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