Article Per Year (5 Year)
p-Index From 2020 - 2025
2.663
P-Index
This Author published in this journals
All Journal Jurnal Theologia ADDIN Jurnal Dakwah Risalah Ziswaf : Jurnal Zakat dan Wakaf Jurnal Darussalam: Jurnal Pendidikan, Komunikasi dan Pemikiran Hukum Islam Edukasi Islami: Jurnal Pendidikan Islam Tribakti: jurnal pemikiran keIslaman MUHARRIK: JURNAL DAKWAH DAN SOSIAL Jurnal Ilmu Dakwah Jurnal Ilmiah Ar-Risalah: Media Ke-Islaman, Pendidikan, dan Hukum Islam Tafkir: Interdisciplinary Journal of Islamic Education Ma'mal: Jurnal Laboratorium Syariah dan Hukum Jurnal Mandiri IT Didaktika Religia Tribakti: Jurnal Pemikiran Keislaman
Muhammad Sulthon
Fakultas Dakwah IAIN Walisongo Jl. Walisongo No. 3-5 Tambakaji Ngalian Semarang 50185
Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Mandiri IT

 1 
Prediction of Bank Central Asia stock prices after dividend distribution using ARIMA method Surorejo, Sarif; Sulthon, Muhammad; Anandianskha, Sawaviyya; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.294

Abstract

This study explores the prediction of Bank Central Asia (BBCA) stock prices following the annual dividend distribution using the Autoregressive Integrated Moving Average (ARIMA) method. The primary goal is to provide a robust forecasting tool to aid investors and financial analysts in making informed decisions. The research employs a quantitative approach with a quasi-experimental design, analyzing weekly BBCA stock price data from January 2019 to February 2024. The findings demonstrate that the ARIMA (2, 1, 2) model provides stable and reliable predictions of BBCA stock prices, showing slight weekly variations but overall stability. Practically, these predictive models can be integrated into a web-based platform, allowing real-time stock price forecasting and broader accessibility for users. This study contributes to the financial literature by validating the ARIMA model's applicability in the Indonesian stock market and suggesting the exploration of hybrid models and external economic factors for future research.
Co-Authors Aida, Bakhita Anandianskha, Sawaviyya Argo, Basuki Setyo Badrus Badrus, Badrus Fauzi, Ach Gunawan Gunawan Hayati, Atika Ilyas Supena Jannah, Elly Uzlifatul Mahmud Yunus Mustofa Marita Lailia Rahman, Marita Lailia Milna Wafirah Muhyiddin, Ahmad Shofi Musahadi Musahadi, Musahadi Purwanto, Purwanto Sarif Surorejo Silvia Riskha Fabriar, Silvia Riskha Suparman Syukur Zakariyah Zuhri, Mishbah Khoiruddin Zulfa Elizabeth, Misbah