PREDIKSI HARGA GETAH KARET MENGGUNAKAN ALGORITMA MULTILAYER PERCEPTRON (MLP)

MULYANI, ROSA and Utami, Alvi Syahrini and Marieska, Mastura Diana (2023) PREDIKSI HARGA GETAH KARET MENGGUNAKAN ALGORITMA MULTILAYER PERCEPTRON (MLP). Undergraduate thesis, Sriwijaya University.

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Abstract

Harga getah karet merupakan harga komoditas hasil pertanian yang memiliki inflasi secara signifikan dari permintaan dan produksi yang tidak menentu di setiap saat, oleh sebab itu harga getah karet mengalami fluktuasi karena adanya pengaruh kondisi perekonomian global. Prediksi harga getah karet sangat penting untuk membantu para petani maupun pihak yang berkaitan mengetahui harga karet dunia yang sedang berlangsung. Tujuan dari penelitian ini adalah untuk mengetahui tingkat error dari algoritma Multilayer Perceptron (MLP). Mean Squared Error (MSE) digunakan untuk mengukur kinerja algoritma Multilayer Perceptron (MLP) yang digunakan dalam penelitian sebagai tingkat akurasi error terhadap prediksi yang dilakukan. Histori data uji yang digunakan sebanyak 108 data dari periode bulan Januari 2014 sampai ke bulan Desember 2022. Dari analisis yang dilakukan dengan 15 percobaan terhadap data uji dengan input nilai epoch dan learning rate yang berbeda didapatkan nilai maximum loss MSE terkecil 0.0058 pada percobaan epoch 500 dan learning rate 0.01.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Harga Getah Karet, Prediksi, Multilayer Perceptron, Mean Squared Error
Subjects: T Technology > T Technology (General) > T10.5-11.9 Communication of technical information > T10.5 General works Information centers
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Rosa Mulyani
Date Deposited: 29 Sep 2023 03:42
Last Modified: 29 Sep 2023 03:42
URI: http://repository.unsri.ac.id/id/eprint/129295

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