PENERAPAN METODE K-MEANS DALAM KLASTERISASI KECEPATAN PROSES PENGERJAAN SERTIFIKAT LAIK OPERASI PADA PT. JASA KELISTRIKAN INDONESIA
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Feirdy, Muhammad Luthfi Arsyad
Asri, Yessy
Aziza, Rosida Nur
Asri, Yessy
Aziza, Rosida Nur
Subject
Teknik Informatika
Datestamp
2023-06-26 07:24:00
Abstract :
The purpose of this research is to produce a visualization of the speed at which the Sertifikat Laik Operasi (SLO) at PT. Jasa Kelistrikan Indonesia based on power by using K-Means Clustering as the grouping method and using the Elbow method to determine the optimum number of clusters that can be generated from the data obtained, which totals 51535 data. The results of the application of the K-Means clustering method are formed three optimum clusters based on the elbow method used on data with iterations carried out two to three times which can represent each type of work, namely data with high power fast processing, data with low power fast processing and data with low power slow processing.
The purpose of this research is to produce a visualization of the speed at which the Sertifikat Laik Operasi (SLO) at PT. Jasa Kelistrikan Indonesia based on power by using K-Means Clustering as the grouping method and using the Elbow method to determine the optimum number of clusters that can be generated from the data obtained, which totals 51535 data. The results of the application of the K-Means clustering method are formed three optimum clusters based on the elbow method used on data with iterations carried out two to three times which can represent each type of work, namely data with high power fast processing, data with low power fast processing and data with low power slow processing.
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