Skripsi

PREDIKSI CURAH HUJAN MENGGUNAKAN ALGORITMA RECURRENT NEURAL NETWORKS (RNN ) DI KABUPATEN OGAN KOMERING ILIR SUMATERA SELATAN

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Penilaian

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Rainfall intensity in Ogan Komering Ilir Regency has high rainfall intensity. Most of the people's work in Ogan Komering Ilir Regency is farming, if the intensity of high rainfall can have a negative impact on farmers and plant growth. Therefore, rainfall predictions can be used to determine future rainfall levels in Ogan Komering Ilir District. Rainfall prediction in this study uses the Recurrent Neural Networks (RNN) algorithm which can determine the classification in anticipating rainfall patterns. The data used for this study were obtained from the NASA POWER website. The parameters used in this study are rainfall, maximum temperature, minimum temperature, maximum wind speed, minimum wind speed, specific humidity, relative humidity and surface pressure. The resulting accuracy value is 80.64%, the precision value is 80.76% and the recall value is 96.35%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307003058	T126178	T1261782023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1261782023

Publisher

Inderalaya : Jurusan Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam., 2023

Collation

xii, 52 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

530.028 507

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Jurusan Fisika
Pengolahan dan Analisa Data di Bidang Fisika

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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