Perencanaan Tenaga Kerja Berbasis Target Produksi: Analisis Forecasting Kebutuhan Sumber Daya Manusia
DOI:
https://doi.org/10.58192/profit.v5i3.4975Keywords:
Forecasting, HR Planning, Production Targets, Sewing Line, Workforce RequirementsAbstract
This study aims to analyze workforce requirement Forecasting based on production targets at the sewing line of PT Morich Indo Fashion. The study employs a descriptive qualitative approach with data collection techniques including in-depth interviews, participatory observation, and documentation studies. Research informants consist of production managers, sewing line supervisors, HRD department heads, and sewing line operators selected through purposive sampling. Data analysis was conducted using Miles and Huberman’s interactive model comprising data reduction, data display, and conclusion drawing. The findings reveal a gap between forecasted workforce requirements and actual workforce availability at the sewing line, caused by production target fluctuations, product complexity variations, worker turnover rates, and limitations in workforce planning systems. The study also identifies that current workforce planning practices have not fully utilized systematic Forecasting methods, resulting in challenges in balancing labor capacity and production demands. The implications of these findings indicate the need for integrating data-driven workforce Forecasting systems into the company’s human resource planning process to achieve production targets efficiently without creating excessive workload, reducing productivity risks, or causing resource waste. This research provides insights for improving workforce management strategies in the garment manufacturing industry.
References
Ackerman, I. N., Gorelik, A., Berkovic, D., & Buchbinder, R. (2025). The projected burden of arthritis among adults and children in Australia to the year 2040: A population-level forecasting study. The Lancet Rheumatology, 7(3), e187–e196. https://doi.org/10.1016/S2665-9913(24)00247-9
Aldi Gofarizkia, M., & Mas'idah, E. (2025). Analisis kelayakan pengembangan konveksi pakaian brand fesyen "Kugle." Jurnal Riset Multidisiplin Edukasi, 2(9). https://journal.hasbaedukasi.co.id/index.php/jurmie/article/view/938
Aliffiansyah, F. (2024). Analisis waktu kerja untuk menentukan jumlah tenaga kerja dalam pemenuhan permintaan di UD. ABC. Jurnal Surya Teknika, 11(1). https://doi.org/10.37859/jst.v11i1.7050
Badan Pusat Statistik. (2025). Statistik Indonesia 2025. https://www.bps.go.id/publication/2020/04/29/e9011b3155d45d70823c141f/statistik-indonesia-2020.html
Budde, L., Hänggi, R., Friedli, T., & Rüedy, A. (2023). Smart factory framework. In Smart Factory Navigator (pp. 33–229). Springer. https://doi.org/10.1007/978-3-031-17254-0_3
Croci, S., Mazzuto, G., Ciarapica, F. E., Bevilacqua, M., Ortenzi, M., & Osler, G. (2025). A digital twin framework for optimized production configuration and simulation for order deadline fulfilment: A case study in an Italian food company. In Proceedings of the 31st ICE IEEE/ITMC Conference on Engineering, Technology, and Innovation: AI-Driven Industrial Transformation: Digital Leadership in Technology, Engineering, Innovation and Entrepreneurship. https://doi.org/10.1109/ICE/ITMC65658.2025.11106618
Dewangga, A., & Suseno, S. (2022). Analisa pengendalian kualitas produksi plywood menggunakan metode Seven Tools, Failure Mode and Effect Analysis (FMEA), dan TRIZ. Jurnal Teknologi dan Manajemen Industri Terapan, 1(3), 243–253. https://doi.org/10.55826/tmit.v1i3.42
Hasibuan, M. S. P. (2003). Manajemen sumber daya manusia: Edisi revisi. Bumi Aksara. https://books.google.com/books/about/Manajemen_Sumber_Daya_Manusia.html?hl=id&id=ZQk0tAEACAAJ
Joseph, A., Johnson, A., & Cheriyan, A. (2024). Workforce forecasting using artificial intelligence. In Artificial Intelligence in Forecasting: Tools and Techniques (pp. 146–172). https://doi.org/10.1201/9781003399292-11
Khaeruman, Mukhlis, A., Bahits, A., & Tabroni. (2023). Strategi perencanaan sumber daya manusia. Jurnal Riset Bisnis dan Manajemen Tirtayasa (JRBMT), 7(1), 41–50. https://jurnal.untirta.ac.id/index.php/JRBM
Laia, M. F., & Octafian, R. (2026). Peran pelatihan LPK Kartika Bawen dalam pengembangan karir di industri garmen. Publik: Jurnal Manajemen Sumber Daya Manusia, Administrasi dan Pelayanan Publik, 13(1), 162–178.
Marcella, D., Novendy, L., Vincent, V., & Cuandra, F. (2022). Implementasi manajemen operasional terhadap penyelesaian masalah di PT Toyota Motor Manufacturing Indonesia. Jurnal Ilmiah Ekonomi Global Masa Kini, 13(2), 115–124. https://doi.org/10.36982/jiegmk.v13i2.2566
Marpaung, C. A. N. (2024). Perencanaan jadwal pemenuhan stok ulang dan optimasi jumlah karyawan dengan menggunakan metode Moving Average dan Exponential Smoothing: Studi kasus Toko Zacky. Talenta Conference Series: Energy and Engineering, 7(1).
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). SAGE Publications. https://books.google.co.id/books?id=3CNrUbTu6CsC
Nguyen, L., Mayet, O., & Desai, S. (2025). Operational and supply chain growth trends in basic apparel distribution centers: A comprehensive review. Logistics, 9(4). https://doi.org/10.3390/logistics9040154
Nugraheni, K. S., Hendrajaya, H., Palupiningtyas, D., Satato, Y. R., Aswan, M. K., Dewi, I. K., Rahayu, E., Octafian, R., Aprilliyani, R., & Maryani, T. (2025). Pengantar manajemen: Teori, prinsip dan praktik. Badan Penerbit STIEPARI Press.
Octafian, R. (2020). Komunikasi kerja dalam manajemen SDM. In Manajemen sumber daya manusia: Prinsip dasar dan aplikasi. Bintang Pustaka Madani. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=uprZO-oAAAAJ&pagesize=100&citation_for_view=uprZO-oAAAAJ:qjMakFHDy7sC
Ogungbire, A., & Mitra, S. K. (2025). Workforce forecasting for state transportation agencies: A machine learning approach. International Journal of Transportation Science and Technology, 17, 345–360. https://doi.org/10.1016/j.ijtst.2024.05.004
Pradeesh, N. M. (2011). Human resource planning and development. University of Calicut. https://books.google.com/books?hl=en&lr=&id=REd3EQAAQBAJ
Priyana, I. E. M. (2020). Evolusi manajemen SDM dari waktu ke waktu. In Human capital management: Teori dan aplikasi (pp. 38–40). CV Media Sains Indonesia. https://repository.metrouniv.ac.id/id/eprint/7479/1/Buku%20Digital%20-%20Human%20Capital%20Management%20(Teori%20dan%20Aplikasi)%20(2).pdf#page=48
Rahman Lutfi, F., & Sasongko, C. (2022). Perencanaan produksi dan manajemen persediaan pada perusahaan kue dan roti. Studi Akuntansi dan Keuangan Indonesia, 5(1), 61–86. https://doi.org/10.21632/saki.5.1.61-86
Ratnaningtyas, E. M., Syafruddin, R., Saputra, E., Suliwati, D., Nugroho, B. T. A., Karimuddin, Aminy, M. H., Saputra, N., & Khaidir, A. S. J. (2017). Metodologi penelitian kualitatif.
Rosita, S., Aira, D. M. F., Hendriyaldi, Tialonawarmi, F., & Setiawan, W. J. (2024). Buku ajar manajemen sumber daya manusia. CV Eureka Media Aksara.
Rusindiyanto, R., Rochmoeljati, Rr., Winursito, Y. C., Nugraha, I., & Syaifullah, H. (2023). Production planning and control of flooring using aggregate planning method. Technium: Romanian Journal of Applied Sciences and Technology, 16, 397–404. https://doi.org/10.47577/technium.v16i.10018
Rutovitz, J., Lara, H. B., Langdon, R., Briggs, C., & Dwyer, S. (2025). Predicting the workforce requirements for residential electrification and electric vehicle charging infrastructure. Energy Reports, 14, 5033–5047. https://doi.org/10.1016/j.egyr.2025.11.035
Sabri, G. H. (2024). Perencanaan kapasitas sumber daya dalam proses produksi kapal mainan dengan Resource Requirement Planning (RRP). Talenta Conference Series: Energy and Engineering. https://talentaconfseries.usu.ac.id
Sekretariat Perindustrian. (2025). Kemenperin bersama industri TPT menghadapi tantangan global.
Sugiyono. (2013). Metode penelitian kuantitatif, kualitatif dan R&D. Alfabeta.
Syachrani, S., Fitriansyah, Sapulete, S. T., & Sucianti, R. (2023). Manajemen sumber daya manusia. Bumi Aksara.
Syarifuddin, R., Hayat, E. J., & Sa'dudin Tjaptjani, D. (2025). Estimasi kebutuhan tenaga kerja langsung menggunakan workload analysis untuk optimalisasi beban produksi. Jurnal Kalibrasi, 23(2). https://doi.org/10.33364/kalibrasi/v.23-2.3128
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Profit: Jurnal Manajemen, Bisnis dan Akuntansi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.






