prediksi trend pergerakan harga saham dengan hidden markov model (hmm) dan support vector machine (svm)
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ID: 169324
2014
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Abstract
Prediksi trend pergerakan harga saham sangatlah dibutuhkan untuk meningkatkan potensi keuntungan
sekaligus mengurang kemungkinan rugi. Berbagai metode telah digunakan untuk memprediksi trend
pergerakan harga saham. Pada paper ini, dibahas metode Hidden Markov Model (HMM) dan Support Vector
Machine (SVM) sebagai alat untuk memprediksi trend naik turunnya harga close Indeks LQ45. Akurasi prediksi
dengan HMM sebesar 50,98%, sementara dengan SVM sebesar 55,56%.
| Reference Key |
firdaniza2014jurnalprediksi
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|---|---|
| Authors | ;Firdaniza Firdaniza;Jondri Jondri |
| Journal | paedagogica historica |
| Year | 2014 |
| DOI |
10.24198/jmi.v10.n1.10181.19-24
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| URL | |
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