Tugas Akhir Informatika

Jaringan Syaraf Tiruan Backpropagation Untuk Peramalan Suhu Minimum dan Maksimum, Kelembaban, Tekanan Udara, Jumlah Hari Hujan, dan Curah Hujan Bulanan Di Kota Mataram

---

Climate condition influents on various sectors of human life, such as agriculture. Climate forecasting can be done to help mapping the planting period so that agricultural productivity is optimal. Artificial neural network is a method that can be used to forecast climate in the future. In this research, backpropagation algorithm was used to forecast monthly data on minimum and maximum temperatures, humidity, air pressure, number of rainy days, and rainfall in Mataram city by applying a hidden layer and two hidden layers, and also applying binary sigmoid and bipolar sigmoid as the activation function. The accuracy of forecasting result is measured based on MSE (mean square error). Based on the research conducted, the MSE of testing phase are minimum temperature is 2.65 x 10-3, maximum temperature is 1.97 x 10-4, humidity is 2.11 x 10-3, air pressure is 2.50 x 10-3, number of rainy days is 7.97 x 10-4, and rainfall is 1.00 x 10-3.

---

Ketersediaan

2018177

005.369.Ida.j

Tersedia

Informasi Detail

Judul Seri

-

No. Panggil

005.369.Ida.j

Penerbit

Universitas Mataram : Fakultas Teknik Unram., 2019

Deskripsi Fisik

-

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

005.369

Tipe Isi

other

Tipe Media

other

Tipe Pembawa

-

Edisi

Edisi 1 Jilid 1

Subjek

Jaringan Syaraf Tiruan
backpropagation, temperature, humidity, air
air pressure, number of rainy days, rainfall.

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Ida Nyoman Tegeh Adnyana

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus login sebelum memberikan komentar