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

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Penilaian

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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%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207005058	T83938	T839382022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T839382022

Publisher

Inderalaya : Jurusan fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya., 2022

Collation

xi, 34 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

551.577 259 807

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Fisika
Hujan dan Curah Hujan di Indonesia

Specific Detail Info

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Statement of Responsibility

SEPTA

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