PERBANDINGAN KINERJA MODEL RANDOM FOREST, DAN LONG SHORT-TERM MEMORY (LSTM) DALAM MEMPREDIKSI HARGA EMAS

SAYUDHA, BERNADI (2026) PERBANDINGAN KINERJA MODEL RANDOM FOREST, DAN LONG SHORT-TERM MEMORY (LSTM) DALAM MEMPREDIKSI HARGA EMAS. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

This study aims to compare the performance of gold price prediction models, namely Random Forest and Long Short-Term Memory (LSTM). The dataset used consists of historical gold price data (XAU/USD) obtained from the Kaggle platform, with the main variables being Date, Open, High, Low, Close, and Volume. All data underwent pre-processing stages, including cleaning, normalization, and partitioning into training data and testing data. Each model will be applied to predict the gold closing price and evaluated using three metrics: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and R-squared (

Item Type:	Thesis (S1)
NIM/NIDN Creators:	41822010036
Uncontrolled Keywords:	Harga Emas, Random Forest, LSTM, Prediksi
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.7 Data in Computer Systems/Data dalam Sistem-sistem Komputer > 005.75 Specific Types of Data Files and Databases/Jenis Spesifik File Data dan Pangakalan Data > 005.755 Hierarchical Databases/Pangakalan Data Hirarki 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu > 006.3 Artificial Intelligence/Kecerdasan Buatan > 006.31 Machine Learning/Pembelajaran Mesin 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu > 006.3 Artificial Intelligence/Kecerdasan Buatan > 006.32 Neural Nets (Neural Network)/Jaringan Saraf Buatan
Divisions:	Fakultas Ilmu Komputer > Sistem Informasi
Depositing User:	khalimah
Date Deposited:	07 Sep 2026 15:06
Last Modified:	07 Sep 2026 15:06
URI:	http://repository.mercubuana.ac.id/id/eprint/103685

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