DETEKSI ANOMALI DATA PEMAKAIAN LISTRIK PELANGGAN PT. PLN (PERSERO) AREA TANJUNG KARANG MENGGUNAKAN METODE DBSCAN
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
JORDI DWI YULIANTO, JORDI DWI
Arianto, Rakhmat
Siswipraptini, Puji Catur
Arianto, Rakhmat
Siswipraptini, Puji Catur
Subject
Teknik Informatika
Datestamp
2022-09-22 03:08:33
Abstract :
In handling electric power violations, PT. PLN (Persero) Tanjung Karang has conducted an operation named Energy Usage Control (P2TL). One of electric power violations that occurs is electricity theft. The effort that has been exerted by PT. PLN (Persero) Tanjung Karang in handling electric power violations is conducting meter reading monitoring towards unreasonable electric power consumption of the customers. However, it is not effective and does take a long time to monitor electric power consumption of a large number of customers in a certain area. Therefore, it requires an application to find out and determine the specific customers who performed electric power violation. This application is a web-based application which detects data anomalies of electric power consumption of customers by using Density-based spatial clustering of applications with noise (DBSCAN) method. The detection on data anomalies used DBSCAN method by grouping customers based on the proximity of electric power consumption pattern in a certain of time. This application testing used electric power consumption data of R1 grade customer with power of 1300V from PT. PLN (Persero) Tanjung Karang that results in data of a group of customers which is electricity theft indicated and a group of customers with normal consumption.
In handling electric power violations, PT. PLN (Persero) Tanjung Karang has conducted an operation named Energy Usage Control (P2TL). One of electric power violations that occurs is electricity theft. The effort that has been exerted by PT. PLN (Persero) Tanjung Karang in handling electric power violations is conducting meter reading monitoring towards unreasonable electric power consumption of the customers. However, it is not effective and does take a long time to monitor electric power consumption of a large number of customers in a certain area. Therefore, it requires an application to find out and determine the specific customers who performed electric power violation. This application is a web-based application which detects data anomalies of electric power consumption of customers by using Density-based spatial clustering of applications with noise (DBSCAN) method. The detection on data anomalies used DBSCAN method by grouping customers based on the proximity of electric power consumption pattern in a certain of time. This application testing used electric power consumption data of R1 grade customer with power of 1300V from PT. PLN (Persero) Tanjung Karang that results in data of a group of customers which is electricity theft indicated and a group of customers with normal consumption.
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