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All Journal Journal of Information Technology and Cyber Security
Acxell Rizada Sudigto
Universitas 17 Agustus 1945 Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Financial Ratio Prediction for Accounting Information System Using Holt-Winters Exponential Smoothing Intan Dzikria; Muhammad Ikram Fahriono; Rayhan Rizaldi Hi Hukum; Muhammad Ferianto; Acxell Rizada Sudigto; Sigit Ananda Murwato
Journal of Information Technology and Cyber Security Vol. 4 No. 2 (2026): July
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.12520

Abstract

Financial ratio analysis serves as a vital tool for assessing organizational performance and supporting decision-making processes. This study developed an accounting information system featuring financial ratio prediction capabilities powered by the Holt-Winters Exponential Smoothing algorithm—a method capable of handling time-series data characterized by trends and seasonality. Functional testing demonstrated that the system operates according to design, achieving a 94% success rate. Prediction results varied in accuracy: the current ratio achieved a Mean Absolute Percentage Error (MAPE) of 8.3%, indicating a favorable prediction outcome. Conversely, the Return on Investment (ROI), Return on Equity (ROE), and debt-to-equity ratios yielded MAPE values exceeding 20%, signaling a need for improved accuracy. These findings suggest that the system can serve as a relevant analytical tool for financial management; however, further development is required, particularly regarding algorithm parameter optimization and the provision of higher-quality data.
Co-Authors Intan Dzikria Muhammad Ferianto Muhammad Ikram Fahriono Rayhan Rizaldi Hi Hukum Sigit Ananda Murwato