Analisis Data Pertanian Tanaman Pangan Untuk Memprediksi Hasil Panen Menggunakan Metode Multiple Linear Regression (Studi Kasus Dinas Pertanian Kabupaten Malaka)

SERAN, Maria Kristine Bria (2024) Analisis Data Pertanian Tanaman Pangan Untuk Memprediksi Hasil Panen Menggunakan Metode Multiple Linear Regression (Studi Kasus Dinas Pertanian Kabupaten Malaka). Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.

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Abstract

As technology advances, all forms of human work are made easier by new technology that continues to develop. One of them is in the field of predicting agricultural results using machine learning. Machine learning can be implemented in various fields, one of which is predicting agricultural results for the next few years by entering attributes and in this research data from the last 10 years from 2012-2021 was used. The method used to make predictions is the multiple linear regression method, which then produces a number that can determine how many harvests of food crops there will be, and will be used as evaluation material for the local government for each number of harvests of food crops. The multiple linear regression method is a forecasting method that uses more than two factors that can influence crop yields so that maximum results can be found. This research uses orange data mining tools as a tool to make predictions. Using the multiple linear regression method, the coefficient of determination test result was 0.918, indicating that 91.8% of the variation in the dependent variable can be explained by the independent variables in the model.

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