Prediksi Harga Emas Dengan Algoritma Backpropagation

Hafid Akbar Fikri(1*),

(1) Universitas Stikubank Semarang, Indonesia
(*) Corresponding Author

Abstract


Artificial Neural Network Backpropagation is known as one of the methods that can calculate accurately in predicting. The algorithm used in this study is the Backpropagation algorithm, with gold price data as input data for training data. The price of gold is a separate issue in the market, as a precious metal that can be used for investment. Gold is also one of the main commodities that are in great demand by investors because it is considered profitable. Unlike the currency exchange rate, gold investment is for the long term. The price of gold continues to increase in the world market so that many investors are interested in investing in gold. In predicting the price of gold, an accurate method is needed to do so, because of that the author uses one of the prediction methods from ANN (Artificial Neural Networks) namely the Backpropagation Algorithm. This case study is secondary data that already exists. The input variables are open, high, low. The output of this gold price prediction is price. This bacpropagation training process uses Matlab R2015a software with network architecture with the MSE (Mean Square Error) result is 0.0034849.

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References


Zakaria Alameera, Mohamed Abd Elaziz, Ahmed A. Ewees, Haiwang Ye, Zhang Jianhua, “Forecasting Gold Price Fluctuations Using Improved Multilayer Perceptron Neural Network And Whale Optimization Algorithm”, School Of Resources And Environmental Engineering, Wuhan University Of Technology, Resources Policy 61 (2019) 250–260 Wuhan, February 2019.

Yuslena Sari, ”Prediksi Harga Emas Menggunakan Metode Neural Network Backpropagation Algoritma Conjugate Gradient”, Jurnal Eltikom, Vol. 1 No.2, Hal 64-70, Desember 2017.

Fajrul Falah, “Rancang Bangun Aplikasi Prediksi Pergerakan Harga Emas (Logam Mulia) Menggunakan Metode Backpropagation”, Fakultas Teknologi Informasi Dan Elektro Universitas Teknologi Yogykarta, 2018.

Rizki Ardhian Ahmad, Nur Nafi’iyah, Siti Mujilahwati, “Prediksi Nilai Calon Mahasiswa Dengan Algoritma Backpropagation (Studi Kasus: Data Kaggle)”, Jurnal Nasional Komputasi Dan Teknologi Informasi Vol. 3 No. 1, April 2020.

Andri Triyono, Alb Joko Santoso, Pranowo, " Penerapan Metode Jaringan Syaraf Tiruan Backpropagation Untuk Meramalkan Harga Saham (Ihsg)" Jurnal Sistem Dan Informatika Vol. 11, No. 1, Yogyakarta, Nopember 2016.

Nur Nafi'iyah, Siti Mujilahwati, "Analisis Algoritma Backpropagation Dan Naive Bayes" Senasif, Malang, Agustus 2018.

Nur Nafi’iyah, “Perbandingan Regresi Linear, Backpropagation Dan Fuzzy Mamdani Dalam Prediksi Harga Emas” Seminar Nasional Inovasi Dan Aplikasi Teknologi Di Industri (Seniati), Malang, 2016.

Fatmi Zola, Gunadi Widi Nurcahyo, Julius Santony, “Jaringan Syaraf Tiruan Menggunakan Algoritma Backpropagation Untuk Memprediksi Prestasi Siswa” Jurnal Teknologi Dan Open Source Vol. 1 No. 1, Padang, Juni 2018.

Guntoro, Loneli Costaner, Lisnawita, “Prediksi Jumlah Kendaraan Di Provinsi Riau Menggunakan Metode Backpropagation” Jurnal Ilmiah Ilmu Komputer Vol. 14, No. 1 Februari 2019.

Benita Salsabila, Imam Cholissodin, Indriati, (2020) “Prediksi Permintaan Keripik Buah Dengan Metode Jaringan Syaraf Tiruan Backpropagation (Studi Kasus: Cv. Arjuna 999)”, Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, Vol. 4, No. 6, Hlm. 1667-1674, Juni 2020.

Christian Dwi Suhendra, Ade Chandra Saputra, “Penentuan Parameter Learning Rate Selama Pembelajaran Jaringan Syaraf Tiruan Backpropagation Menggunakan Algoritma Genetika”, Jurnal Teknologi Informasi (Jti) Jurnal Keilmuan Dan Aplikasi Bidang Teknik Informatika, Vol 14 No 2, Palang Karya, Agustus 2020.

Ghufron Zaida Muflih, Sunardi, Anton Yudhana, (2020) “Jaringan Saraf Tiruan Backpropagation Untuk Prediksi Curah Hujan Di Wilayah Kabupaten Wonosobo”, Journal Of Mathematics Education, Science And Technology Vol. 4, No. 1, Hal 45-56, Yogyakarta, Juli 2019




DOI: http://dx.doi.org/10.30645/j-sakti.v7i1.582

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