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Performance Evaluation of Naive Bayes Algorithm for Classification of Fertilizer Types
Prathivi, Rastri
; Universitas Semarang
; Firman Daru, April
; Universitas Semarang
Telematika
Vol 15
, No 1
(2022)
Determining the right fertilizer is very important to get optimal plant growth results. Each plant requires different nutrient requirements. Different soil types cause the soil's nutrient content and PH value to differ from one type to another. Regional conditions in a place will also cause the need for plant absorption of nutrient content to be more varied. By using the classification of the problems that have been mentioned, it can be solved by studying patterns from existing fertilizer use da...
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Optimasi Algoritme Naive Bayes Untuk Klasifikasi Data Gempa Bumi di Indonesia Berdasarkan Hiposentrum
Prathivi, Rastri
; Universitas Semarang
Telematika
Vol 13
, No 1
(2020)
Abstract: The Hiposentrum or epicentre is the source of an earthquake which is at a certain depth on earth. The classification of earthquake powers based on the depth of Hiposentrum needed to examine the potential earthquake powers spread in Indonesian territory. The results of the classification process often experience problems, namely inaccuracy in classification. To solve that problem, then algorithms optimising classification must be increased. This research uses the Naïve Bayes algorithm,...
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