Analisis Perbandingan Metode Algoritma C4.5 Dan KNN Dalam Prediksi Nilai Kebutuhan Gizi Ibu Hamil di Kecamatan Pandaan

Silviyah, Miftahul Nuril (2025) Analisis Perbandingan Metode Algoritma C4.5 Dan KNN Dalam Prediksi Nilai Kebutuhan Gizi Ibu Hamil di Kecamatan Pandaan. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

This study aims to compare the performance of the C4.5 and K-Nearest Neighbor (KNN) algorithm methods to obtain the results of predicting the nutritional needs of pregnant women. The research method used involves six main stages, namely data collection from the field, dataset reading, simple data exploration, data preprocessing, prediction model building, and model evaluation using test data. The dataset was collected through filling out a Google Form to a mother who was pregnant in Pandaan District and then went through a preprocessing stage to clean and prepare the data for further analysis. The C4.5 and K-Nearest Neighbor (KNN) Algorithm methods were built using the preprocessed data and consideration of the equal complexity of each model was evaluated to determine its prediction accuracy. This approach is applied to estimate the nutritional requirements of pregnant women. The findings of this study indicate that the C4.5 algorithm gets a better value than the KNN algorithm which is 95% while the accuracy of the KNN algorithm is 87.50%. It can be concluded that the C4.5 algorithm is more accurate for calculating the value of nutritional needs in pregnant women.

Item Type:

Thesis (Undergraduate)

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