Application of fuzzy tsukamoto method in forecasting weather


  • Aang Alim Murtopo STMIK YMI Tegal, Indonesia
  • Muhammad Nur Aslam STMIK YMI Tegal, Indonesia
  • Wresti Andriani STMIK YMI Tegal, Indonesia
  • Gunawan Gunawan STMIK YMI Tegal, Indonesia



Fuzzy Tsukamoto, Moisture, Temperature, Weather, Weather Prediction


In today's information age, accurate weather prediction is essential given its far-reaching impact on various aspects of life and economic activity. This study aimed to test the effectiveness of Fuzzy Tsukamoto's method in predicting important weather variables such as temperature, humidity, and precipitation. This research method uses a combination design that includes experimental methods for model development, quantitative analysis of historical weather data, and model validation using separate data. The results showed that the Fuzzy Tsukamoto method was able to increase the accuracy of weather predictions compared to conventional methods, with a significant decrease in the value of Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). In conclusion, this study successfully demonstrates that Fuzzy Tsukamoto's method can be a more accurate alternative in weather prediction, making a significant contribution to the field of meteorology and its practical application in decision-making in various sectors that depend on weather prediction.


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How to Cite

Murtopo, A. A., Aslam, M. N., Andriani, W., & Gunawan, G. (2024). Application of fuzzy tsukamoto method in forecasting weather . Jurnal Mandiri IT, 13(1), 116–126.

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