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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Dorroty, Arika Norma Wahyu
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Analysis and Classification of Capital Assistance Recipients Kediri Trade and Industry Department Using Random Forest Dorroty, Arika Norma Wahyu; Harisa, Ardiawan Bagus
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026 (Article in Progress)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2352

Abstract

Capital assistance provided by the Kediri City Department of Trade and Industry often faces challenges related to the uncertainty of fund distribution, making it difficult to ensure the effectiveness of the assistance itself in improving business revenue. To address this, a prediction-based model is applied to evaluate the factors influencing the success of capital assistance in increasing recipients’ income. This study aims to classify recipients based on business revenue outcomes using the Random Forest algorithm. Furthermore, the model identifies key factors affecting the success of assistance and offers recommendations for optimizing future distribution through feature importance analysis. The results demonstrate that the Random Forest model achieves an accuracy of 75%, highlighting its potential as a reliable tool for predicting the success of capital assistance. The feature importance analysis further reveals that training contributes 49% and business type 43%, emphasizing their crucial role in enhancing the effectiveness of future assistance programs.
Co-Authors Harisa, Ardiawan Bagus