klasifikasi kendaraan roda empat berbasis knn

klasifikasi kendaraan roda empat berbasis knn

• By AHMAD, NOVEL NOVEL;
• Jurnal Nasional Tidak Terakreditasi
• 318
• 80-83

For the classification of the best car is not something easy, because the choice of each

other has advantages and disadvantages of each. This paper discusses the decision to choose the

best car alternative. So far, the probability of choice is determined more by the intuition and

subjectivity of decision makers, who tend to be biased in view of human cognitive limitations. To solve

this problem the author uses the K Nearest Neighbor (KNN) method which is proven by the Weka tool,

and is applied using matlab. The results of this experiment are that the amount of data as much as 14

has an accuracy rate of 78.57% and an RMSE of 0.23, while the amount of data of 1728 has an

accuracy rate of 95.78%, an RMSE of 0.19 and ROC area 0.99. Shows the greater the amount of data

the higher the accuracy level.

• Katakunci KNN,RMSE,ROC,Matlab
• URL https://ejournal.bsi.ac.id/ejurnal/index.php/Bianglala/article/view/540
• Penerbit ,

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