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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Journal of Applied Data Sciences Balance : Jurnal Akuntansi dan Manajemen JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Ilmiah Akuntansi dan Keuangan
Ananda, Rana Fathinah
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences Other

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Journal : Bulletin of Electrical Engineering and Informatics

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A novel MPK optimization framework for financial data analysis incorporating complexity and uncertainty management Syah, Rahmad Bayu; Elveny, Marischa; Ananda, Rana Fathinah; Nasution, Mahyuddin Khairuddin Matyuso
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.9358

Abstract

In a competitive environment, the ability to scale quickly and successfully is a critical need. This research proposes a new framework using multi-objective complexity prediction model (MPK) for financial data analysis, including complexity and uncertainty management. This model integrates input, uncertainty, and output optimization functions (OOFs) (input optimization function (IOF), uncertainty optimization function (UOF), and OOF) to predict complex output values under dynamic business conditions. Model evaluation is carried out using performance metrics, namely mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), and R² score. The evaluation results show that this model has an MSE value of 20.112, an RMSE of 2.267, and an MAE of 2.351, reflecting a low prediction error rate and high accuracy. In addition, the R² value of 0.884259 indicates that this model is able to explain around 88.4% of the variability in the output data, indicating its ability to capture complex data patterns. Thus, the proposed MPK model is effective in predicting output values in complex business scenarios and can be applied for strategic decision-making under conditions of uncertainty.
Co-Authors Asti Nasution, Shabrina Tri Br Sebayang, Minda Muliana Hartono Hartono Mahyuddin K. M Nasution Marischa Elveny, Marischa Nasution, Mahyuddin K.M Pane, Aditya Amanda Rahmadhani, Sari Nuzullina Rahman, Fauziah Salsabilla, Namira Sarina Sarina Sirait, Devi Ayu Putri Suci Salmani Syah, Rahmad B.Y Syah, Rahmad Bayu Tambunan, Sari Bulan Tursina Tursina