Anita, Anita (2023) Klasifikasi Perbandingan Status Gizi Anak Balita Pada Poskesdes Rongga Koe Menggunakan Metode Knn dan Logistic Regression. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Nutritional status can be interpreted as a measure of success in fulfilling children's nutrition according to the child's weight and height. A child can be said to be a toddler if aged between 0-5 years. At Poskesdes Rongga Koe, the parameters commonly used to determine the nutritional status of children under five are based on gender, age, weight, height, upper arm circumference found on the Towards Health Card. This is then recorded on the toddler nutritional status monitoring form and matched with the toddler's nutritional status based on the reference book table. However, weight-for-age (BB/U) is not specific enough to indicate whether a toddler is undernourished, well-nourished or malnourished. Thus, to find out whether the toddler is classified as a good, poor or poor nutritional status still needs supervision from parents and family. Manual calculation of toddler nutrition takes a long time and has the potential for error. The classification used in this study is using the KNN and Logistic Regression methods. This study aims to produce an increase in the accuracy of the classification results of the KNN and Logistic Regression methods in classifying the nutritional status of children under five. It is proven that the accuracy value of Logistic Regression is 90% and the value for precision is 89%, while the accuracy value of KNN is 89% and the value for precision is 88%.

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