dc.contributor.advisor | Nababan, Esther Sorta Mauli | |
dc.contributor.author | Nur, Alya Nadhira | |
dc.date.accessioned | 2023-06-21T05:18:07Z | |
dc.date.available | 2023-06-21T05:18:07Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/85575 | |
dc.description.abstract | Investment in stocks is one type of investment that can get huge profits, but
there are also great risks. So it is necessary to analyze in advance before starting an
investment in stocks, in order to avoid losses. One way is to forecast the stock price
using fuzzy time series Cheng. The data used is weekly period stock price data from
PTBA in January 2020 - December 2022, which can be categorized as a form of time
series. From this research, the forecasting value for the next period is Rp. 3797.
Which results in a MAPE of 4.2%, which means that FTS Cheng method is very good
to use in forecasting the share price of PT Bukit Asam Tbk, because it produces a
MAPE value <10%, and produces an RMSE of 158 rupiah, which means the average
of the difference between actual and forecast values. | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | Fuzzy Time Series Cheng | en_US |
dc.subject | MAPE | en_US |
dc.subject | PTBA | en_US |
dc.subject | RMSE | en_US |
dc.subject | Shares | en_US |
dc.title | Penerapan Metode Fuzzy Time Series Model Cheng dalam Meramalkan Harga Saham PT Bukit Asam Tbk | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM190803071 | |
dc.identifier.nidn | NIDN0018036102 | |
dc.identifier.kodeprodi | KODEPRODI44201#Matematika | |
dc.description.pages | 83 Halaman | en_US |
dc.description.type | Skripsi Sarjana | en_US |