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Job Training Recommendation System: Integrated Fuzzy AHP and TOPSIS Approach

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Advances on Intelligent Informatics and Computing (IRICT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 127))

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Abstract

A penitentiary serves as a job training mechanism to intensify and delve into jailbirds’ talent and interest for workforce preparedness. Unfortunately, the job training commonly fails to reach the jailbird’s potential benefits in getting the proper workforce position. Therefore, this study tries to develop an integrated multi-attribute decision making Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) together with The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to assist the jailbird in finding the appropriate training place on age, latest education, work experience, talents and interests as domain criteria. Fuzzy-AHP employs the weighting criteria, whereas TOPSIS takes a role as an alternative ranking tool. Six alternatives are suggested based on their preferences, including cooking, sewing, building, furniture, farming, and raising livestock. This recommended system has been successfully proposed fifty jailbirds for their optimal training job. Hence, there is optimism that this profession will enhance their future level of life.

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Author information

Authors and Affiliations

  1. Department of Informatics Engineering, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia

    Okfalisa, Rizal Siburian & Yelfi Vitriani

  2. Faculty of Computer Science, Universitas Putra Indonesia YPTK Padang, Padang, Indonesia

    Hidayati Rusnedy

  3. Faculty of Science, Universitas Riau, Pekanbaru, Indonesia

    Saktioto

  4. Department of Industrial Engineering, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia

    Melfa Yola

Authors
  1. Okfalisa
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  2. Rizal Siburian
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  3. Yelfi Vitriani
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  4. Hidayati Rusnedy
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  5. Saktioto
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  6. Melfa Yola
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Corresponding author

Correspondence to Okfalisa .

Editor information

Editors and Affiliations

  1. Birmingham City University, Birmingham, UK

    Faisal Saeed

  2. School of Computing, Universiti Utara Malaysia (UUM), Sintok, Kedah, Malaysia

    Fathey Mohammed

  3. Department of Computer Science, School of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Fuad Ghaleb

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Okfalisa, Siburian, R., Vitriani, Y., Rusnedy, H., Saktioto, Yola, M. (2022). Job Training Recommendation System: Integrated Fuzzy AHP and TOPSIS Approach. In: Saeed, F., Mohammed, F., Ghaleb, F. (eds) Advances on Intelligent Informatics and Computing. IRICT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 127. Springer, Cham. https://doi.org/10.1007/978-3-030-98741-1_8

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