Penerapan Data Mining Dalam Meningkatkan Mutu Perawatan dan Perbaikan Perlengkapan Alat-Alat Kapal Laut Menerapkan Metode K-Means Clustering

Authors

  • Yulifa Esfana Putri Sinaga Universitas Budi Darma, Medan
  • Garuda Ginting Universitas Budi Darma, Medan
  • Melda Panjaitan Universitas Budi Darma, Medan

DOI:

https://doi.org/10.30865/json.v2i3.2626

Keywords:

Preventive Maintenance, Data Mining, Clustering, K-Means

Abstract

This study aims to propose in carrying out sailing activities on the KN. Arcturus ship every week, so that maintenance and maintenance activities need to be carried out properly and scheduled so as not to interfere with ongoing production activities. The current machine breakdown is still relatively high and requires a long repair time, what is proposed is preventive maintenance using the Clustering technique. The method used is K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, based on the similarity of these data, so that data that has the same characteristics are grouped into one cluster and those that have different characteristics are grouped into another cluster. We can use the abundance of data to find hidden information from these data. In order to find out the hidden information from these data, it is necessary to process the data. The data processing process is also known as data mining. With this grouping it will know the results of the analyzed data.

Author Biographies

Yulifa Esfana Putri Sinaga, Universitas Budi Darma, Medan

Program Studi Teknik Informatika

Garuda Ginting, Universitas Budi Darma, Medan

Program Studi Teknik Informatika

Melda Panjaitan, Universitas Budi Darma, Medan

Program Studi Teknik Informatika

References

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Published

2021-05-30

How to Cite

Sinaga, Y. E. P., Ginting, G., & Panjaitan, M. (2021). Penerapan Data Mining Dalam Meningkatkan Mutu Perawatan dan Perbaikan Perlengkapan Alat-Alat Kapal Laut Menerapkan Metode K-Means Clustering. Jurnal Sistem Komputer Dan Informatika (JSON), 2(3), 232–242. https://doi.org/10.30865/json.v2i3.2626

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Articles