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Comparing Linear Regression and Trend Moment with MAPE Optimization for Bitcoin Price Forecasting Accuracy Baihaqi Ammy; Amrullah Amrullah; M. Firza Alpi
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 6 (2025): JIMKES Edisi November 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i6.3968

Abstract

The cryptocurrency market, particularly Bitcoin, exhibits extreme volatility, necessitating robust forecasting tools for informed trading decisions. This study aimed to evaluate the performance of linear regression and trend moment models in predicting Bitcoin prices using daily data from 2022 to 2024. Historical closing prices were collected from reliable cryptocurrency exchanges, cleaned to ensure consistency, and augmented with relative strength index and moving average convergence divergence indicators to enhance predictive accuracy. The models were trained on 2022–2023 data and tested on 2024 data, with forecasting accuracy measured using the Mean Absolute Percentage Error metric. The findings revealed that linear regression achieved a lower error rate of 36.44% compared to Trend Moment’s 39.21%, demonstrating superior performance in stable and trending market conditions. Both models struggled with volatile price swings, though linear regression proved more adaptable when incorporating technical indicators. These results suggest that linear regression offers a practical, computationally efficient solution for short-term Bitcoin price forecasting, particularly for retail traders. Future research could explore hybrid models or additional predictors to improve accuracy in volatile markets, contributing to accessible forecasting tools for the cryptocurrency domain.
The effect of management accounting information system and budget participation on managerial performance with financial technology as a moderating variable Baihaqi Ammy
International Journal of Applied Finance and Business Studies Vol. 13 No. 1 (2025): June: Applied Finance and Business Studies
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijafibs.v13i1.363

Abstract

This study aims to test and analyze the influence of management accounting information systems and managerial performance on managerial performance with financial technology as a moderating variable at the DPRD office of South Tapanuli Regency. This study uses a quantitative approach with an associative design. Data collection was carried out by collecting primary data in the form of questionnaires by distributing questionnaires to employees in the accounting and finance departments at the DPRD office of South Tapanuli Regency. The sampling technique used in the study used saturated samples with a total of 36 samples obtained. The data analysis technique used to test the hypothesis in this study was Moderated Regression Analysis with the help of IBM SPSS software version 27. The results of this study indicate that management accounting information systems have a positive and significant effect on managerial performance, participation has a positive and significant effect on managerial performance, financial technology significantly moderates the effect of management accounting information systems on managerial performance, and financial technology does not moderate the effect of budget participation on managerial performance.