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BAB V-Dina Umi Agustin-C1B016083-Skripsi-2022.pdf
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🔗 Source: repository.unsoed.ac.id
📊 Size: 208 KB
👤 Author: Asus
⬇️ Downloads: 193

Summary

Berdasarkan hasil analisis data, dapat disimpulkan bahwa permodelan ARIMA, ANN dan penggabungan ARIMA-ANN dapat digunakan untuk memprediksi harga saham dengan hasil yang akurat. Penggabungan model ARIMA-ANN merupakan model terbaik karena memiliki nilai RMSE yang paling kecil. Penelitian ini diharapkan dapat menambah wawasan dan memperkuat penelitian selanjutnya, serta dapat digunakan sebagai referensi untuk investor dalam melakukan keputusan investasi. Namun, penelitian ini memiliki keterbatasan, seperti hanya menggunakan model ARIMA dan ANN, serta hanya dilakukan pada sub sektor perdagangan eceran periode 2016-2020. Saran untuk penelitian selanjutnya adalah menggunakan model lain, seperti SVM, GARCH dan ANFIS, serta menggunakan lebih dari satu perusahaan untuk meningkatkan akurasi hasil penelitian.

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Description

Berdasarkan hasil analisis data, dapat disimpulkan bahwa permodelan ARIMA, ANN dan penggabungan ARIMA-ANN dapat digunakan untuk memprediksi harga saham dengan...

Technical Information

  • File Format: PDF
  • File Size: 208 KB
  • Pages: 3
  • Language: PT
  • Author: Asus
  • Total Downloads: 193
  • Last Updated: 2 weeks ago

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