Text

PREDIKSI CUACA MENGGUNAKAN ALGORITMA NEURAL NETWORK BACKPROPAGATION DAN PARTICLE SWARM OPTIMIZATION

---

Penilaian

---

Information about the weather has an important role for the community in carrying out daily activities. So we need a weather prediction that has a high degree of accuracy. The data used in this study are data from the Sultan Mahmud Badaruddin II Meteorological Station. The data were taken in three years, namely 2015, 2016, and 2017. The data are used in predicting weather by applying the Particle Swarm Optimization and Neural Network Backpropagation methods. The results of the testing process carried out in this study obtained the highest accuracy value of 97.18%. From the accuracy values obtained it can be concluded that the use of the Particle Swarm Optimization and Neural Network Backpropagation methods can be used for weather prediction with a very good degree of accuracy.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000054	T32881	T328812020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T328812020

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2020

Collation

xviii, VI-2 hlm, 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

005.12

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Aplikasi komputer
Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

NO

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment