PENERAPAN METODE K-NEAREST NEIGHBOR PADA PENENTUAN GRADE DEALER SEPEDA MOTOR

  • Henny Leidiyana (1*) Manajemen Informatika AMIK BSI Jakarta

  • (*) Corresponding Author
Keywords: K-Nearest Neighbor, Data Mining, Cross Validation, Confusion Matrix, ROC curve

Abstract

The mutually beneficial cooperation is a very important thing for leasing and dealer. Incentives for marketing is given in order to get consumers as much as possible. But sometimes the surveyor objectivity is lost due to the conspiracy on the field of marketing and surveyors. To overcome this, leasing a variety of ways one of them is doing ranking against the dealer. In this study the application of the k-Nearest Neighbor method and Euclidean distance measurement to determine the grade dealer. From the test results obtained by the value of accuracy of 64.03%.

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References

Giudici, Paolo. 2009. Applied Data Mining for Business and Industry, Second Edition. UK: John Wiley & Sons

Gorunescu, Florin. 2011. Data Mining: Concepts, Models, and Techniques. Verlag Berlin Heidelberg: Springer

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Witten, I. H., Frank, E., & Hall, M. A. 2011. Data Mining: Practical Machine Learning and Tools. Burlington: Morgan Kaufmann Publisher
Published
2017-02-15
How to Cite
[1]
H. Leidiyana, “PENERAPAN METODE K-NEAREST NEIGHBOR PADA PENENTUAN GRADE DEALER SEPEDA MOTOR”, jitk, vol. 2, no. 2, pp. 108-112, Feb. 2017.
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