Klasifikasi Citra Burung LovebirdMenggunakan Decision Treedengan Empat Jenis Evaluasi

Klasifikasi Citra Burung LovebirdMenggunakan Decision Treedengan Empat Jenis Evaluasi

Lovebird, ANN, Decision Tree, Precision, Recall, F-measure

Lovebird is a pet that many people in Indonesia have known. The diversity of species, coat color, and body shape gives it its charm. As well in this lovebird bird has its uniqueness of various rare colors. However, many ordinary people have difficultydistinguishing the types of lovebirds. This research is needed to improve previous studyperformance inclassifying lovebird images using the Decision Tree J48 algorithm with 4 types of evaluation. In this case,also to reduce the stage of feature extraction to speed up the computational process. Based on availablecomparisons, the results obtained at the same split ratio with a comparison of 60:40 in Decision Tree J48 have the precision of 1,000, recall of 1,000, f-measure of 1,000,and accuracy value of 100%. Then the Artificial Neural Network with a split ratio of 60:40 has a precision of 0.854, recall of 0.843, f-measurement of 0.841,and anaccuracy value of 84.25%. These results prove that by testing the first-level extraction on color features, Decision Tree J48 is superior in classifying images of lovebird species, and Decision Tree J48 canimprove performance and produce the best accuracy

Aviv Yuniar Rahman

https://jurnal.iaii.or.id/index.php/RESTI/issue/view/24

Universitas Widyagama Malang

20 agustus 2021

Fajar bagus W

PDF

Indonesia

Text