Analisis Segmentasi untuk Menentukan Kebutuhan Sumber Daya Manusia Di Bidang Tenaga Kerja Outsourcing Industri Pengiriman dengan Menggunakan Metode K-MEANS

This study aims to identify the segmentation of outsourced workforce needs in the shipping industry to support a more effective recruitment strategy at PT FOC Indonesia. The research method used is K-Means Clustering, with a secondary data analysis approach from 120 workers categorized by age, marital status, job title, and country of employment. The results indicate seven main workforce clusters, each representing specific personas such as Experienced Captains, Engineers, and Electrical Specialists, as well as market preferences such as Korea, Japan, and China. The conclusion of this study is that data-driven workforce segmentation can assist companies in developing recruitment strategies, reducing turnover, and increasing the efficiency and competitiveness of the Indonesian workforce in the global market. Keywords: K-Means, Workforce Segmentation, Shipping Industry, Outsourcing, Manning Agency

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Publication Details

Journal
Journal of Management and Bussines (JOMB)
Published
2025-08-14
DOI
https://doi.org/10.31539/cpvx3q57
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Analisis Segmentasi untuk Menentukan Kebutuhan Sumber Daya Manusia Di Bidang Tenaga Kerja Outsourcing Industri Pengiriman dengan Menggunakan Metode K-MEANS

Mufti Kusuma Firdaus, Galih Kusuma Aji, Jerry Heikal, Ahmad Ilham Bachrie Harahap
Journal of Management and Bussines (JOMB)
Management and Optimization Techniques
article

Analisis Segmentasi untuk Menentukan Kebutuhan Sumber Daya Manusia Di Bidang Tenaga Kerja Outsourcing Industri Pengiriman dengan Menggunakan Metode K-MEANS

Mufti Kusuma Firdaus, Galih Kusuma Aji, Jerry Heikal, Ahmad Ilham Bachrie Harahap
article en

Abstract

This study aims to identify the segmentation of outsourced workforce needs in the shipping industry to support a more effective recruitment strategy at PT FOC Indonesia. The research method used is K-Means Clustering, with a secondary data analysis approach from 120 workers categorized by age, marital status, job title, and country of employment. The results indicate seven main workforce clusters, each representing specific personas such as Experienced Captains, Engineers, and Electrical Specialists, as well as market preferences such as Korea, Japan, and China. The conclusion of this study is that data-driven workforce segmentation can assist companies in developing recruitment strategies, reducing turnover, and increasing the efficiency and competitiveness of the Indonesian workforce in the global market. Keywords: K-Means, Workforce Segmentation, Shipping Industry, Outsourcing, Manning Agency

Journal of Management and Bussines (JOMB)Vol. 7(4)
Bakrie University (ID), Universitas Muhammadiyah Prof Dr Hamka (ID)
Openalex Percentile: Top 60%
Management and Optimization Techniques
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