ANALISIS MENGGUNAKAN RANDOM FOREST DENGAN GINI INDEX ALGORITMA PADA DATA

Abstract

New Student Admissions The achievement path that has been listed in Permendikbud number 44 of 2019 article 11 paragraphs 1 & 2, makes it possible for new students who have achievements to not be able to enter the school they dream of being outside their residential zoning. The quota is limited for each school, only receiving 5% according to the Permendikbud to new students. Achievements should also be prioritized to encourage and motivate the interest of new students. Classification of outstanding participants was carried out. Where is the dataset of prospective students in schools before becoming prospective participants for the next school level, as a reference to increase the quota for achievement paths. Trial of the Random Forest method with the Gini Index Algorithm, testing using cross-validation as the initial classification model, the dataset is divided into tests and a training ratio of 70:30 then testing and analysis using the Random Forest method with the Gini Index Algorithm, the results obtained are an accuracy of 94.39 %. However, further research is needed by utilizing more datasets and attributes and comparing with other methods because the test was carried out with 305 datasets, there were 5 attributes and 1 main attribute.