Sistem Simulasi Pembelian Saham Bank Berbasis Deep Learning Dengan Metode Transformers
DOI:
https://doi.org/10.29407/9a3d5k13Keywords:
saham, simulasi,, sistem, transformers,, deep learning, koefisien determinasi.Abstract
Saham adalah sebuah bukti kepemilikan sebuah perusahaan, ketika investor membeli sebuah saham dari sebuah perusahaan, maka investor membeli sebagian perusahaan tersebut. Melakukan simulasi sebelum melakukan pembelian saham jarang di lakukan oleh investor untuk mengurangi potensi kerugian saat membeli saham, maka dibutuhkan sistem simulasi dengan bantuan mesin atau sistem yang dapat mempelajari pola pergerakan saham dengan baik, pada penelitian ini sistem simulasi dilengkapi dengan model deep learning transformers yang dapat mengenali pola pergerakan harga saham dengan baik. Dengan sistem simulasi yang dilengkapi dengan transformers, investor dapat memperkirakan dan membuat strategi pembelian saham dimasa depan dan mengurangi kerugian yang besar. Hasil dari penelitian ini membuktikan bahwa transformers memberikan error yang sangat rendah dengan rata rata error 0.124062516 dan rata rata koefisien determinasi sebesar 0.923312, dengan error yang sangat kecil dan kemampuan model dalam mengenali pola sebesar 93% maka simulasi di harapkan akan memberikan hasil yang akurat.
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