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Khairunnissa Fanny Irnanda
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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ANALISA METODE DATA MINING PADA PENGELOMPOKAN LAPANGAN KERJA INFORMAL SEKTOR NON-PERTANIAN Khairunnissa Fanny Irnanda; Agus Perdana Windarto; Dedy Hartama; Anjar Wanto
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1673

Abstract

The objective of the study is to classify informal employment in non-agricultural sectors. Data sources are obtained from the Central Statistics Agency (BPS). The data used is the proportion of employment for informal non-agricultural sectors (2015-2018), consisting of 34 Provinces in Indonesia. The Method used to solve the problem is datamining technique K-Medoid. The results of the research showed that the percentage of informal employment of non-agricultural sectors based on the lowest region became a record for the government to further increase human resources and more open the field jobs in non-agricultural sectors, among others.Keywords: Informal sector, Datamining, K-Medoid, Clustering, Non-Agricultural
Co-Authors Agus Perdana Windarto Dedy Hartama Wanto, Anjar