Strategy to Increase the Yield of Fresh Fruit Bunch (FFB) Harvesting Process with Lean Agriculture Method at PTPN IV Palmco Regional II Marjandi Estate
DOI:
https://doi.org/10.55927/ajma.v4i3.14939Keywords:
Non-Value Added (NVA), Work Efficiency, Process Optimization, FFB Harvesting, ProductivityAbstract
This study aims to identify Non Value Added (NVA) activities in the harvesting process of Fresh Fruit Bunches (FFB) and formulate optimization measures to improve operational efficiency and work productivity. Based on the results of field observation and work time analysis, eight activities were found that did not provide direct added value to the product, but contributed to the waste of time and resources. Optimization is carried out through a process improvement approach, including the elimination of unnecessary activities, improvement of workflows, the use of motorized tools, and the implementation of digitization of crop yield recording. The results of the implementation showed a decrease in the total harvesting process time from 23,560 seconds to 17,760 seconds, or an increase in time efficiency by 28.57%. These findings show that the systematic identification and reduction of NVA activities can improve operational performance and support the achievement of production targets in the palm oil industry.
Downloads
References
Contras, A. (2022). Value stream mapping sebagai alat perbaikan proses. Jakarta: Contras Publisher.
Fichristika Kutika, R., Siregar, F., & Siregar, M. (2018). Akuntansi manajemen: Teori dan aplikasi. Medan: Universitas Sumatera Utara Press.
Hemold, J., Kreimeier, D., & Meier, H. (2022). Value added and non-value-added activities in production systems. Berlin: Springer.
Ilham, M., Nofirza, N., Umam, M. I. H., Yola, M., & Anwardi, A. (2024). Evaluasi aktivitas non value added dengan menggunakan metode value stream mapping dan process activity mapping. Jurnal HEURISTIC, 21(1), 10–19.
Locher, D. A. (2008). Value stream mapping for lean development: A how-to guide for streamlining time to market. New York: Productivity Press.
Martins, L., Ferreira, L. P., & Domingues, C. (2023). Lean agriculture: A conceptual model for sustainable agro-industrial development. International Journal of Lean Six Sigma, 14(2), 221–240.
Melin, M., & Barth, H. (2018). Applying lean thinking in agriculture: The relevance of agility and customer orientation. Journal of Agricultural Studies, 6(3), 23–38.
Saukkoriipi, L. (2004). Waste in lean software development. Master’s thesis. Chalmers University of Technology, Sweden.
Tambunan, R. A., Handayani, N. U., & Puspitasari, D. (2018). Penerapan lean manufacturing menggunakan value stream mapping (VSM) untuk identifikasi waste & performance improvement pada UKM “Shoes and Care”. Industrial Engineering Online Journal, 7(4), 15–22.
Tambunan, R. A., Ilham, M., & Yola, M. (2023). Lean manufacturing dalam praktik: Studi kasus dan penerapannya di Indonesia. Yogyakarta: Graha Ilmu.
Yola, M., Wahyudi, F., & Hartati, M. (2017). Value stream mapping untuk mereduksi waste dominan dan meningkatkan produktivitas produksi di industri kayu. Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri, 3(2), 44–53.
Maulana, Y. (2017). Identifikasi waste dengan menggunakan metode value stream mapping pada industri perumahan. Jurnal JIEOM, 2(2), 87–95.
Suryaningrat, I. B., Purnomo, B. H., & Fatimah, F. (2022). Penerapan value stream mapping untuk peningkatan produktivitas produksi okra beku di PT. MDT. Agrointek, 16(4), 791–800.
Imtinan, I., & Cahyaputri, B. (2024). Waste identification using the value stream mapping (VSM) method on the PT XYZ transparent bar soap production line. Jurnal Teknologi dan Manajemen, 22(1), 33–45.
Womack, J. P., & Jones, D. T. (1990). The machine that changed the world. New York: Harper Perennial.
Womack, J. P., & Jones, D. T. (1996). Lean thinking: Banish waste and create wealth in your corporation. New York: Simon & Schuster.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Muhammad Julyanda, Meilita Tryana Sembiring, Yeni Absah

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

























