Application of Data Mining Prediction of Electricity Deviation Flow Using Metode Backpropogation at PLN Binjai Area
| Autor: | I Ketut Sudarsana, Meri Andriani, Arif Rinaldi Dikananda, Dahlan Abdullah, Muhammad Noor Hasan Siregar, Sohibun, Edy Winarno, Febi Wahyu Andrayani, Cut Ita Erliana, Erlin Elisa, Firmanda Fasya, Raditya Danar Dana, Nining Rahaningsih, A. M. H. Pardede, Ponidi, Purwo Subekti, Nurdin |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 1363:012067 |
| ISSN: | 1742-6596 1742-6588 |
| Popis: | PLN is the only state-owned electricity company that provides and regulates electricity to the public. However, in the provision of electricity to every community, there are many frauds or irregularities in utilization of electricity by irresponsible parties was found by PLN. Electricity deviation caused by irresponsible parties, like the theft of electricity can have a tremendous impact due to loss of electrical energy. Electricity Deviation, using Electricity Deviation data for 3 years, from 2012 to 2014. Sales data processed by the network, in the form of amount of Kwh deviation per month. The data needed in the process of analysis of this Neural Network is pure database results by taking the input variable in the form of Amount of Kwh Deviation and Amount of Kwh Deviation for the next Month for the following year as output. Electricity for 3 years is processed into Matlab using GUI facilities, to produce information on the predicted results of the Kwh Deviation in November 2014 to March, May, June, August, November, December 2015 experiencing has increase in Kwh, while in April July, September, and Okrober 2015 decreased. |
| Databáze: | OpenAIRE |
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