IMPLEMENTASI METODE FUZZY DECISION TREE DALAM MENGKLASIFIKASI HAMA DAN PENYAKIT TANAMAN JAGUNG BERDASARKAN REPEATED K-FOLD CROSS VALIDATION

ANNABILA, CHOIRUNNISA and Zayanti, Des Alwine and Resti, Yulia (2022) IMPLEMENTASI METODE FUZZY DECISION TREE DALAM MENGKLASIFIKASI HAMA DAN PENYAKIT TANAMAN JAGUNG BERDASARKAN REPEATED K-FOLD CROSS VALIDATION. Undergraduate thesis, Sriwijaya University.

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Abstract

Corn is a high carbohydrate plant that can be used as a staple food. The quality of corn must be considered, unhealthy corn results in less than optimal production results and results in decreased corn production. One of the causes of decreased corn quality is pests and diseases that attack corn plants. To overcome this problem, in the current era we can use computer assistance to classify pests and diseases on corn using digital image management, namely RGB images with statistical machine learning where the classification process will be carried out with the fuzzy decision tree method based on the repeated k-fold cross. validation with 10 fold and 5 repeated. The data used are 3712 photos of corn pests and diseases, consisting of 108 photos of grasshoppers, 120 photos of cob-moving pests, 1337 photos of Spodoptera frugiperda pests, 49 photos of downy mildew, 232 photos of leaf blight, 285 photos of leaf rust. and 1041 photos of healthy (non pathogenic) leaves. In this study, the results of the fuzzy decision tree method based on the average of all folds and repeated method can classify pests and diseases of corn with an accuracy of 92.48%, macro precision of 70.58%, micro-precision of 74.08%, macro recall of 63.55%, micro recall of 74.08%, the macro fscore is 66.77% and the micro fscore is 74.08%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Jagung, Citra RGB, Fuzzy Decision Tree, Repeated K-fold Cross Validation
Subjects:	H Social Sciences > HA Statistics > HA1-4737 Statistics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Choirunnisa Annabila
Date Deposited:	16 Aug 2022 04:37
Last Modified:	16 Aug 2022 04:37
URI:	http://repository.unsri.ac.id/id/eprint/77099

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