IMPLEMENTASI METODE K-NEAREST NEIGHBOR (K-NN) UNTUK SISTEM SISIR TARIF DI PLN WILAYAH CENGKARENG
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Institusion

Institut Teknologi Perusahaan Listrik Negara

Author

HARJANTO, BAGUS TRI
Palupiningsih, Pritasari
Yosrita, Efy

Subject

Teknik Informatika 

Datestamp

2022-09-20 07:19:25 

Abstract :
The sisir tarif system is the implementation of a survey to each customer who uses electricity subsidies for business category in the Cengkareng region. Customer data surveyed will be reviewed by the PLN until finally the report of review are published. The implementation of the K-Nearest Neighbor method is used as a classification method by finding the closest distance between the data to be evaluated and the closest neighbor in the training data. The result is the system can save time in processing customer data and can determine the suitability of electricity subsidies in the business category according to the attributes which has been specified. The results of the implementation of the KNN algorithm get 93% accuracy results. Where this level of accuracy is obtained from the value of k = 3. 

File :
Skripsi Bagus Tri Harjanto 201531251.pdf