UJI PERFORMA ALGORITMA LONG SHORT-TERM MEMORY UNTUK PREDIKSI HARGA SAHAM
Predicting stock prices is an interesting but difficult activity in the business world. Stock price predictions need to be based on previous stock prices. Stock data can be used to analyze using an algorithm to obtain information on future predictive values. In this study, using long short-term memo...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Published: |
2023-07-03.
|
| Subjects: | |
| Online Access: | Link Metadata |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repoupnvj_25157 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Agung Hot Iman, . |e author |
| 245 | 0 | 0 | |a UJI PERFORMA ALGORITMA LONG SHORT-TERM MEMORY UNTUK PREDIKSI HARGA SAHAM |
| 260 | |c 2023-07-03. | ||
| 500 | |a http://repository.upnvj.ac.id/25157/13/ABSTRAK.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/14/AWAL.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/15/BAB%201.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/16/BAB%202.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/17/BAB%203.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/18/BAB%204.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/19/BAB%205.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/8/DAFTAR%20PUSTAKA.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/9/RIWAYAT%20HIDUP.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/10/LAMPIRAN.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/11/HASIL%20PLAGIARISME.pdf | ||
| 500 | |a http://repository.upnvj.ac.id/25157/12/ARTIKEL%20KI.pdf | ||
| 520 | |a Predicting stock prices is an interesting but difficult activity in the business world. Stock price predictions need to be based on previous stock prices. Stock data can be used to analyze using an algorithm to obtain information on future predictive values. In this study, using long short-term memory (LSTM) and backpropagation on PT Telekomunikasi Indonesia's stock data from the official IDX IDX website for the period January 2020 to December 2022 with closing data as a feature. The best result from the LSTM model is the Epoch 300 model with an MSE of 236.345 and a computing time of 7.2 seconds. The best results from the Backpropagation model is the epoch 300 model with an MSE of 537,116 and a computation time of 4.6 seconds. The best model produced is the LSTM model with epoch 300. The results of the stock price fluctuation graph from this study show that future stock price movements will experience a decline. | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 546 | |a id | ||
| 690 | |a QA Mathematics | ||
| 690 | |a QA75 Electronic computers. Computer science | ||
| 690 | |a QA76 Computer software | ||
| 690 | |a T Technology (General) | ||
| 655 | 7 | |a Thesis |2 local | |
| 655 | 7 | |a NonPeerReviewed |2 local | |
| 787 | 0 | |n http://repository.upnvj.ac.id/25157/ | |
| 787 | 0 | |n http://repository.upnvj.ac.id | |
| 856 | 4 | 1 | |u http://repository.upnvj.ac.id/25157/ |z Link Metadata |