LSTM Model for Forecasting USD to IDR Exchange Rate

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Albani Albani Kalam Haq
DOI: 10.5281/zenodo.18130060
Cited by: 0

Abstract

This is an LSTM model made in Python 3.14 using the library TensorFlow designed to predict the USD to IDR exchange rate of the next month given the data of the previous month. Currently this model has a training data ranging from 1988 - 2024 and uses the 2025 data for the accuracy test (cut off after 5th december)

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Language
EN
Document type
Dataset