| dc.contributor.advisor | Tarigan, Enita Dewi Br | |
| dc.contributor.author | Sagala, Junita Putri | |
| dc.date.accessioned | 2023-09-27T02:49:30Z | |
| dc.date.available | 2023-09-27T02:49:30Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/87893 | |
| dc.description.abstract | Gold is a precious metal commonly used as a trading medium and a standard
financial instrument in various countries. Antam gold investment in Indonesia can
provide consumers with benefits such as stability of value, high liquidity, and
protection against inflation. This research aims to determine the forecasted results of
gold prices in the upcoming period. One method for forecasting time series data is
Autoregressive Integrated Moving Average (ARIMA). The best model obtained in this
study is ARIMA (1,3,6). This model is used to predict the price of gold in June 2023.
The research findings indicate that there is a slight difference between the forecasted
data and the actual data available. This study can be further developed in future
research or expanded using alternative forecasting methods. | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Universitas Sumatera Utara | en_US |
| dc.subject | Forecasting | en_US |
| dc.subject | ARIMA | en_US |
| dc.subject | Antam Gold Price | en_US |
| dc.subject | SDGs | en_US |
| dc.title | Analisis Peramalan Harga Emas Antam Menggunakan Arima | en_US |
| dc.type | Thesis | en_US |
| dc.identifier.nim | NIM202407079 | |
| dc.identifier.nidn | NIDN0105028503 | |
| dc.identifier.kodeprodi | KODEPRODI49401#Statistika | |
| dc.description.pages | 62 Halaman | en_US |
| dc.description.type | Kertas Karya Diploma | en_US |
