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    Seleksi Calon Tenaga Kerja Magang ke Jepang Berbasis Website dengan Menggunakan Metode SWARA dan SAW

    Website-Based Selection of Candidates for Internships to Japan Using SWARA and SAW Methods

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    Date
    2024
    Author
    Wulandari, Ayu
    Advisor(s)
    Hardi, Sri Melvani
    Manik, Fuzy Yustika
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    Abstract
    Internship programs are a popular route for individuals who want to improve their skills and work experience abroad, one of which is Japan, Japan is one of the most popular destinations. The selection process for prospective interns to Japan plays an important role in ensuring the success of the internship program. The selection carried out by prospective workers includes a body fitness test, physical endurance test, interview, medical check-up and Japanese language test. The Stepwise Weight Assessment Ratio Analysis (SWARA) method and the Simple Additive Weighting (SAW) method, which are implemented via the website, are used to develop this system. It is hoped that this program can help LPK Pemaba select candidates who comply with Japanese recipient company standards. The criteria include a Japanese language test, body fitness test, physical endurance test and interview test. The data used was 70 participant data. The model built is trained with expert knowledge and the weights given by the expert to determine the possible names of participants who are worthy of departure. The calculation results from the model are in accordance with the manual calculations carried out, as well as the results of trials and implementation on 10 prospective workers and obtained 8 results that matched between the model and the expert or 80% and 20% that did not match.
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    https://repositori.usu.ac.id/handle/123456789/96707
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    • Undergraduate Theses [1181]

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    Repositori Institusi Universitas Sumatera Utara (RI-USU)
    Universitas Sumatera Utara | Perpustakaan | Resource Guide | Katalog Perpustakaan
    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV