Peramalan Harga Saham Bank Menggunakan Metode Single Exponential Smoothing
DOI:
https://doi.org/10.29407/stains.v2i1.2928Abstract
Harga saham merupakan kegiatan penting bagi investor karena dapat membantu mereka dalam mengambil keputusan investasi yang tepat. Salah satu metode yang sering digunakan untuk meramalkan harga saham adalah metode Single Exponential Smoothing. Metode ini menggunakan harga saham historis untuk memprediksi harga saham yang akan dating. Tujuan dari penelitian ini adalah menganalisis ketepatan salah satu metode single exponential smoothing dalam memprediksi harga saham perbankan di Indonesia. Data yang digunakan dalam penelitian ini adalah data harga saham bank yang diperoleh dari Yahoo Finance selama periode Desember 2021 sampai Desember 2022. Single Exponential Smoothing akan di implementasikan ke dalam Aplikasi yang menggunakan Android Studio. Hasil pengujian dengan metode Single Exponential Smoothing dari data historis harga saham bank, pada penelitian ini menghasilkan akurasi dengan nilai alpha 0.2 pada perhitungan Mean Absolute Percentage Error (MAPE) rata-rata adalah 1,4%.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Rega Pratama Zainurrosid, Zidane Chesa Wardana, Muhammad Fariz Hardiansyah Siregar

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License





