Deteksi Penyakit Pada Buah Apel Berbasis Pengklasifikasi Random Forest

MONI, Kristian Yudistira (2023) Deteksi Penyakit Pada Buah Apel Berbasis Pengklasifikasi Random Forest. Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.

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Abstract

Apples are one of the types of fruit in Indonesia and are very popular with the general public, both young and old, like to consume this fruit. However, the production of apples began to decline due to pests and diseases. The high level of production and the wide distribution of apples requires farmers to be able to detect diseases that exist in apples in maintaining the quality of this fruit. Classification is a data mining method that functions to organize and categorize data in different classes. This study aims to detect diseases in apples based on classifiers. In the classification process, this research uses the Random Forest algorithm to classify images of healthy and sick apples. This study uses the Orange Data Mining Tool as a tool to carry out the data mining process. the classification results carried out using the Random Forest algorithm get good results where the model get an average accuracy of 91.4%.

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