Skripsi

PREDIKSI CURAH HUJAN DI KABUPATEN LAHAT SUMATERA SELATAN MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK

---

Penilaian

---

Lahat District is one of the district in South Sumatra with moderate rainfall intensity of 266 mm/month. This area experienced flash floods caused by high intensity rainfall which resulted in the overflow of the Lematang River. Therefore, rainfall prediction is needed to anticipate the negative impact of high rainfall intensity. This study aims to predict rainfall in Lahat district in the future. The Convolutional neural network algorithm was chosen as the method in this study because it has high accuracy for time series classification. Data used from NASA POWER with the parameters of rainfall, average air temperature, maximum and minimum air temperature, relative and specific air humidity, air pressure, surface wind speed and direction. The result indicate that research produces predictions of future rainfall for Lahat district with fairly good model evaluation results with an accuracy value of 82.94%, 86.60% precision and 91.84% recall. Keyword: Convolutional Neural Network, Deep Learning, Rainfall Forescating.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307003892	T125845	T1258452023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1258452023

Publisher

Indralaya : Jurusan Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2023

Collation

xiii, 59 hlm.; Ilus.;29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

551.577.07

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Curah hujan
Jurusan Fisika

Specific Detail Info

-

Statement of Responsibility

PITRIA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment