PENERAPAN METODE NAÃVE BAYES CLASSIFIER PADA KLASIFIKASI TINGKAT PELANGGARAN PELANGGAN PLN AREA CENGKARENG
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
SHALIHAH, ANNISA
Kuswardani, Dwina
Palupiningsih, Pritasari
Kuswardani, Dwina
Palupiningsih, Pritasari
Subject
Teknik Informatika
Datestamp
2022-09-22 03:18:13
Abstract :
This study discusses the classification of violations of PLN customers using the Naïve Bayes Classifier (NBC) method. The data used in this study is a statement of the minutes of the results of the examination carried out by PLN Area Cengkareng Electricity Control and Usage Officer (P2TL). Electricity Usage Control (P2TL) is a series of activities including planning, inspection, actions and settlement carried out by PLN against PLN installations or installation of electricity users from PLN. The method used in this study is text preprocessing, Term Frequency (TF) and Naïve Bayes Classifier (NBC) calculations. Based on the results of testing of 100 P2TL official news data obtained an accuracy value of 86% using the Confusion Matrix method.
This study discusses the classification of violations of PLN customers using the Naïve Bayes Classifier (NBC) method. The data used in this study is a statement of the minutes of the results of the examination carried out by PLN Area Cengkareng Electricity Control and Usage Officer (P2TL). Electricity Usage Control (P2TL) is a series of activities including planning, inspection, actions and settlement carried out by PLN against PLN installations or installation of electricity users from PLN. The method used in this study is text preprocessing, Term Frequency (TF) and Naïve Bayes Classifier (NBC) calculations. Based on the results of testing of 100 P2TL official news data obtained an accuracy value of 86% using the Confusion Matrix method.
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