PENGELOMPOKAN DATA HISTORICAL SUSUT DAYA AMR BERBASIS DATA SPATIAL DENGAN METODE FUZZY C�MEANS (STUDI KASUS PT PLN TANJUNG PINANG)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
FADHIL, MUHAMMAD SABRI
Asri, Yessy
Kuswardani, Dwina
Asri, Yessy
Kuswardani, Dwina
Subject
Teknik Informatika
Datestamp
2023-06-06 01:52:38
Abstract :
This study aims to cluster the electricity customers of PT PLN Tanjung Pinang based on their electricity usage patterns using Fuzzy C-Means method, and combine the clustering results with spatial data to assist PT PLN Tanjung Pinang in monitoring and managing non-technical losses of AMR power more effectively and accurately. In this study, clustering was performed on 88 electricity customers based on their electricity usage patterns, and it was found that 62 customers belong to the reasonable usage group and 26 customers belong to the unreasonable usage group. Furthermore, the results of this clustering were combined with spatial data in the form of coordinate points on a map, so that PT PLN Tanjung Pinang can visually see the locations of customers in specific areas who belong to the reasonable and unreasonable usage groups. Thus, the results of this study can help PT PLN Tanjung Pinang to improve energy efficiency, reduce operational costs related to non-technical losses of AMR power, and reduce the risk of violations and misuse of electricity by customers.
This study aims to cluster the electricity customers of PT PLN Tanjung Pinang based on their electricity usage patterns using Fuzzy C-Means method, and combine the clustering results with spatial data to assist PT PLN Tanjung Pinang in monitoring and managing non-technical losses of AMR power more effectively and accurately. In this study, clustering was performed on 88 electricity customers based on their electricity usage patterns, and it was found that 62 customers belong to the reasonable usage group and 26 customers belong to the unreasonable usage group. Furthermore, the results of this clustering were combined with spatial data in the form of coordinate points on a map, so that PT PLN Tanjung Pinang can visually see the locations of customers in specific areas who belong to the reasonable and unreasonable usage groups. Thus, the results of this study can help PT PLN Tanjung Pinang to improve energy efficiency, reduce operational costs related to non-technical losses of AMR power, and reduce the risk of violations and misuse of electricity by customers.
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