PREDIKSI SAHAM BANK BTPN MENGGUNAKAN METODE (LSTM) LONG-SHORT TERM MEMORY

Authors

  • Bayu Dwi Handika Universitas Islam Majapahit

Keywords:

Share, LSTM, BTPN

Abstract

Bank BTPN is a foreign exchange bank that was founded through the merger of PT Bank Tabungan Pensiunan Nasional Tbk (Bank BTPN) and PT Bank Sumitomo Mitsui Indonesia (SMBCI). Bank BTPN focuses on serving the mass market segment which consists of retirees, Micro, Small and Medium Enterprises (MSMEs) and less productive people. Consumer class segment. The same thing also happens in the corporate sector. This business focus is based on Bank BTPN's business units, namely BTPN Sinaya – a lending business unit, BTPN Purna Bakti – a business unit that focuses on serving retirees, and BTPN Micro Business – which focuses on serving micro entrepreneurs supported by the business unit BTPN Mitra Bisnis – Business . Jenius, a division that focuses on serving small and medium businesses, is a digital banking platform for the consumer segment with a focus on serving large domestic, multinational and Japanese corporations. Jenius is also an enterprise business unit. Apart from that, Bank BTPN has a subsidiary called BTPN Syariah which focuses on serving productive and underprivileged community customers. As part of the Daya program, which is a sustainable and measurable mass market empowerment program, Bank BTPN regularly provides training and information to improve its customers' ability to grow and live a better life so that you can get opportunities. Like a coin that has two inseparable sides, empowerment programs are an inseparable part of our business model. Through all the products and activities we carry out, we always strive to create opportunities for growth and a more meaningful life for all Bank BTPN customers.

References

ADIL, M., MHAMED, H., 2020. Stock Market Prediction Using LSTM Recurrent Neural Network, vol 170, p. 1168-1173, 2020.

https://doi.org/10.1016/j.procs.2020.03.049

I NYOMAN, C.J., dan DHORIVA, U.W., 2024. Prediksi harga saham pada sektor Perbankan menggunakan Algoritma Long Short-Term Memory. vol 1, no. 2,. 2024

https://journal.student.uny.ac.id/ojs/index.php/jssd/article/view/19475

SUCI, A.T., 2022. Analisis perbandingan kinerja model Arima, LSTM dan GRU pada Stock Price Forecasting. [skripsi]

https://repository.uinjkt.ac.id/dspace/bitstream/123456789/68556/1/SUCI%20AMALIA%20TUSSIFAH-FST.pdf

Wiranda, L., & Sadikin, M. (2020). PENERAPAN LONG SHORT TERM MEMORY PADA DATA TIME SERIES UNTUK MEMPREDIKSI PENJUALAN PRODUK PT. METISKA FARMA. Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI, 8(3), 184–196. https://doi.org/10.23887/janapati.v8i3.19139

Published

2024-12-26

How to Cite

Handika, B. D. (2024). PREDIKSI SAHAM BANK BTPN MENGGUNAKAN METODE (LSTM) LONG-SHORT TERM MEMORY . SUBMIT: Jurnal Ilmiah Teknologi Infomasi Dan Sains, 4(2). Retrieved from https://ejurnal.unim.ac.id/index.php/submit/article/view/3360