Prediksi Penempatan Trafo Distribusi Berdasarkan Densitas Bangunan yang Diklasterisasikan dengan Menggunakan Metode K-means
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
CAROLIN, ANITA
Sangadji, Iriansyah BM
Arianto, Rakhmat
Sangadji, Iriansyah BM
Arianto, Rakhmat
Subject
Teknik Informatika
Datestamp
2022-09-22 06:05:42
Abstract :
In order for the transformer construction to be at a point that is in accordance with the density of the surrounding buildings, it is necessary to make an application for the prediction of transformer construction which aims to provide options to users in this case the employees of PT. PLN (Persero) to determine the location of transformer construction. Other features in this application users can use the Data Analysis menu to process location data that is in the database to then display the clustering results, users can also manage location data that is in the location data manage menu. Making the transformer development prediction application was made using the K-Means method as a method to cluster existing location coordinate data. Then the application is tested using Black Box. The result of this research is an application that can automate cluster point clustering which will later get the midpoint which will later become an option for users, namely employees of PT. PLN (Persero) in determining transformer construction.
In order for the transformer construction to be at a point that is in accordance with the density of the surrounding buildings, it is necessary to make an application for the prediction of transformer construction which aims to provide options to users in this case the employees of PT. PLN (Persero) to determine the location of transformer construction. Other features in this application users can use the Data Analysis menu to process location data that is in the database to then display the clustering results, users can also manage location data that is in the location data manage menu. Making the transformer development prediction application was made using the K-Means method as a method to cluster existing location coordinate data. Then the application is tested using Black Box. The result of this research is an application that can automate cluster point clustering which will later get the midpoint which will later become an option for users, namely employees of PT. PLN (Persero) in determining transformer construction.
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