The Application of Data Mining to Information and Computer Technology Skills using the K-Medoid Method
The Application of Data Mining to Information and Computer Technology Skills using the K-Medoid Method |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-7 |
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| Year of Publication : 2023 | ||
| Author : Mirsa Umiyati, Yorina An'guna Bansa, Hidayatulah Himawan, Gusti Ayu Sri Puja Warnis Wijayanti, Robbi Rahim |
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| DOI : 10.14445/22315381/IJETT-V71I7P226 | ||
How to Cite?
Mirsa Umiyati, Yorina An'guna Bansa, Hidayatulah Himawan, Gusti Ayu Sri Puja Warnis Wijayanti, Robbi Rahim, "The Application of Data Mining to Information and Computer Technology Skills using the K-Medoid Method," International Journal of Engineering Trends and Technology, vol. 71, no. 7, pp. 269-278, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I7P226
Abstract
The purpose of the study was to classify regions that had a proportionate level of Youth and Adults with Information and Computer Technology Skills (abbreviated as ICT) using data mining algorithms. Data is obtained from the Indonesian Central Statistics Agency (abbreviated BPS-RI), which is processed using the help of RapidMiner software. The data used is data on the proportion of Adolescents and Adults with ICT Skills in Indonesia, which consists of 34 regions ranging from Sabang to Merauke. The settlement method is the K-Medoid method. Data in clustering in two parts, among others: low cluster level (C1) and high cluster level (C2). Results obtained from 34 records there are 3 regions in the low cluster (C1), including East Nusa Tenggara, North Maluku, Papua and 31 regions in the high cluster (C2), among others: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Bangka Belitung, Riau Islands, DKI Jakarta, West Java, Central Java, East Java, In Yogyakarta, Banten, Bali, West Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, West Sulawesi, Southeast Sulawesi, Gorontalo, Maluku, West Papua. This can be input to the government in providing information about areas with low Information and Communication Technology skills so that they can be improved so that adolescents, adults who will become the nation's successors, do not become communities that are left behind in Information and Communication Technology.
Keywords
Data mining, K-Medoid, Information and Computer technology, Population, Indonesia.
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