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PENGEMBANGAN MODEL PREDIKSI NILAI PERTUMBUHAN GDP INDONESIA MENGGUNAKAN ALGOR…
Accurate prediction of Gross Domestic Product (GDP) growth is essential for guiding effective economic policymaking in Indonesia. This study proposes a hybrid forecasting approach that integrates fuzzy logic and machine learning to improve the accuracy of GDP growth prediction. Using annual macroeconomic data from 1970 to 2023, we developed 19 input features, combining numerical indicators with…
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- xiii, 63 hlm.; ilus.; tab.; 29 cm
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- 005.13
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