Bahri, Syamsul (2017) A Neural Network Model for Indonesia’s Foreign Reserves Model. The 2nd International Conference on Science and Technology 2017 “Joint International Conference on Science and Technology in The Tropic”, 2017. ISSN 978-602-61265-1-1
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Abstract
Foreign exchange reserves is one of the important indicator of the macro of the country's economy, including the State of Indonesia. Based on the results of previous research, the foreign exchange reserves is influenced by several factors such as exports, imports, exchange rates, inflation rate, and foreign debt. In this research, the amount of Indonesia’s foreign exchange reserves is modelled based on some variables which are exports, imports, exchange rates, and external debt using the neural network model. The performance of neural network model was developed is guaranteed by two indicators are mean of squarer error (MSE) of trainning process and the coefficient of determination. The results of the performance of neural network model are 0.00288 for MSE of trainning indicator and 99.70 % for the coefficient of determination forecasting model indicator.
| Item Type: | Article |
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| Keywords (Kata Kunci): | neural network model, foreign exchange reserves, export, import, exchange rate, foreign debt |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Fakultas Matematika dan ilmu Pengetahuan Alam |
| Depositing User: | Dr Syamsul Bahri |
| Date Deposited: | 16 Nov 2018 00:22 |
| Last Modified: | 16 Nov 2018 00:22 |
| URI: | http://eprints.unram.ac.id/id/eprint/10219 |
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