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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Gilang Adi Prasetyo
Universitas Negeri Yogyakarta
Computer Science & IT Engineering

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Data-driven analysis of growth factors in oyster mushroom cultivation: a case study from Indonesia’s market Yosef Budiman; Gilang Adi Prasetyo; Asma’ Khoirunnisa’; Hanifah Mar’atush Shalihah; Muhamad Riyan Maulana; Yanuar Agung Fadlullah; Sugiri Sugiri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i4.pp3568-3580

Abstract

The oyster mushroom is one of the potential agricultural products that can be developed as an alternative to other agricultural products, to maintain Indonesia's economic condition. However, the production of oyster mushrooms remains low and falls short of the minimum amount of market demand. This study employs a machine learning (ML)–based approach to identify the key parameters influencing oyster mushroom production rates. Recursive feature elimination (RFE) was applied to reduce the initial 19 features to nine, enabling faster processing while maintaining high predictive accuracy. The results showed that agricultural features showed a high contribution rather than environmental, economic, and demographic features. Furthermore, these parameters were related to the train-test analysis to visualize the statistical analysis shown by the best method, adaptive boosting (AdaBoost), with coefficient of determination (R2), mean squared error (MSE), and mean absolute error (MAE) values of 0.997575, 0.009841, and 0.085884, respectively. Related research relevant to the research findings was analyzed to validate that agricultural product features affect the decline of oyster mushroom production. Other supported research conducted by integrating real-time analysis and twin digital models, which can enhance substrate quality.
Co-Authors Asma’ Khoirunnisa’ Hanifah Mar’atush Shalihah Muhamad Riyan Maulana Sugiri Sugiri Yanuar Agung Fadlullah Yosef Budiman