Penerapan Data Mining Dalam Mengelompokkan Data Pengangguran Terbuka Menurut Provinsi Menggunakan Algoritma K-Means

Mochamad Wahyudi, Lise Pujiastuti, Solikhun Solikhun

Abstract


Open unemployment is a workforce that has absolutely no job. This unemployment occurs because the labor force has not gotten a job even though it has been trying optimally or because of laziness to find work or lazy to work. The government must be able to suppress open unemployment so that poverty alleviation programs can be achieved. The government needs accurate information about unemployment grouping data in Indonesia by province. This study aims to classify open unemployment data in Indonesia by province. Data is taken from the Indonesian Central Statistics Agency in the form of open unemployment data by province from 2015 to 2019. This grouping uses the K-Means Clustering method. Data is grouped based on 2 clusters. The results of this study are that there are 12 provinces in the high cluster and 22 provinces in the low cluster

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References


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DOI: http://dx.doi.org/10.30645/senaris.v2i0.192

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