Palm oil plantation transportation management improving using economic information systems and Qm-Windows

Economic Annals-XXI: Volume 198, Issue (7-8), Pages: 18-23

Citation information:
Jumintono, Wiyatiningsih, S., Relawati, R., Yanita, M., & Santi, I. S. (2022). Palm oil plantation transportation management improving using economic information systems and Qm-Windows. Economic Annals-XXI, 198(7-8), 18-23. doi:

PhD (Pedagogy),
Senior Researcher,
Faculty of Technical and Vocational Education,
University Tun Hussein Onn Malaysia
Parit Raja, Johor, 86400, Malaysia

Sri Wiyatiningsih
PhD (Agriculture),
Department of Agrotechnology,
Faculty of Agriculture,
University of Pembangunan Nasional Veteran
Jawa Timur, 60294, Indonesia

Rahayu Relawati
PhD (Agriculture),
Associate Professor of Agribusiness Management,
Agribusiness Department,
Faculty of Agriculture and Animal Science,
Universitas Muhammadiyah Malang
Jawa Timur, 65145, Indonesia

Mirawati Yanita
MA (Agriculture), Lecturer,
Agribusiness Department,
Faculty of Agriculture,
Jambi University (Universitas Jambi)
Jambi, 54401, Indonesia

Idum Satia Santi
MA (Agriculture), Lecturer,
Agrotechnology Department, Stiper Agricultural Institute,
Gadjah Mada University
(Institut Pertanian Stiper, Universitas Gadjah Mada)
Yogyakarta, 55281, Indonesia

Palm oil plantation transportation management improving using economic information systems and Qm-Windows

Abstract. Limited information, mainly based on real economy as a tool for determining transportation infrastructure location, is one of the obstacles faced by oil palm plantation companies. This study aims to develop a management information system for transporting the Transportation of Fresh Fruit Bunches (FFB) in oil palm plantations with considering the economic analysis by combination of GIS and Qm-Windows. This research uses the descriptive method. The study was conducted at one of the oil palm plantations in Central Kalimantan. Data were analyzed using the post-classification change detection (PCCD) method and estimated costs using the transportation method with the Qm-Windows program’s help. The results showed that the GIS with Arcgis 10.1 application could compile an inventory information system for oil palm plantation transportation. Cost estimation based on the Qm-Windows application can be used to determine the priority of transportation selection estimation with minimum cost. These applications can be applied as reference considerations for policymaking in managing oil palm FFB transportation management.

Keywords: Economic Analysis; Qm-Windows; Palm Oil; Transportation; Geography Information System; Fresh Fruit Bunches

JEL Classіfіcatіon: A12; M11; Q14

Acknowledgements and Funding: The researchers would like to thank to the Akademi Komunitas Perkebuanan Yogyakarta for their support so that this research could be completed.

Contribution: The authors contributed equally to this work.

Data Availability Statement: All data will be available upon request.



  1. Acosta, P., & Curt, M. D. (2019). Understanding the Expansion of Oil Palm Cultivation: A Case-Study in Papua. Journal of Cleaner Production, 219, 199-216.
  2. Arifin, L. S., Paendong, M., & Langi, Y. (2017). Implementasi Model Transportasi pada Distribusi LPG (Liquid Petroleum Gas) 3 Kg di Sulawesi Utara. d’CARTESIAN, 6(1), 45.
  3. Castellanos-Navarrete, A., Tobar-Tomás, W. V., & López-Monzón, C. E. (2019). Development Without Change: Oil Palm Labour Regimes, Development Narratives, And Disputed Moral Economies in Mesoamerica. Journal of Rural Studies, 71, 169-180.
  4. Cho, H., & Lee, J. (2020). Does Transportation Size Matter for Competitiveness in The Logistics Industry? The Cases of Maritime and Air Transportation. Asian Journal of Shipping and Logistics, 36(4), 214-223.
  5. de Soyres, F., Mulabdic, A., & Ruta, M. (2020). Common Transport Infrastructure: A Quantitative Model and Estimates from The Belt and Road Initiative. Journal of Development Economics, 143, 102415.
  6. Gibbons, S., Lyytikäinen, T., Overman, H. G., & Sanchis-Guarner, R. (2019). New Road Infrastructure: The Effects on Firms. Journal of Urban Economics, 110, 35-50.
  7. Gonçalves, L. A. P. J., & Ribeiro, P. J. G. (2020). Resilience of Urban Transportation Systems. Concept, Characteristics, and Methods. Journal of Transport Geography, 85, 102727.
  8. Hanani, F., Soulhi, A., & Saidi, R. (2019). Towards A Framework for Smart City Wireless Communication: Conclusions Drawn from Smart Transport Case Study. ARPN Journal of Engineering and Applied Sciences, 14(8), 78-89.
  9. Hartmann, A., & Ling, F. Y. Y. (2016). Value Creation of Road Infrastructure Networks: A Structural Equation Approach. Journal of Traffic and Transportation Engineering (English Edition), 3(1), 28-36.
  10. Lou, C. X., Shuai, J., Luo, L., & Li, H. (2019). Optimal Transportation Planning of Classified Domestic Garbage Based on Map Distance. Journal of Environmental Management, 254, 109781.
  11. Ostrovska, S., & Ostrovskii, M. I. (2020). On Relations Between Transportation Cost Spaces And ℓ1. Journal of Mathematical Analysis and Applications, 491(2), 124338.
  12. Papilloud, T., Röthlisberger, V., Loreti, S., & Keiler, M. (2020). Flood Exposure Analysis of Road Infrastructure – Comparison of Different Methods at National Level. International Journal of Disaster Risk Reduction, 47, 101548.
  13. Shuib, A. R., Radzi, M. Kh. F. Md, Bakri, M. A. M. B., & Khalid, M. R. M. (2020). Development of A Harvesting and Transportation Machine for Oil Palm Plantations. Journal of the Saudi Society of Agricultural Sciences, 19(5), 365-373.
  14. Song, Z., Tang, W., & Zhao, R. (2020). A Simple Game Theoretical Analysis for Incentivizing Multi-Modal Transportation in Freight Supply Chains. European Journal of Operational Research, 283(1), 152-165.
  15. Syaiful, S., & Hariyadi, D. (2019). Case Study on Sustainable T-Jungtion Cibinong City Mall (CCM) In Bogor Indonesia. ARPN Journal of Engineering and Applied Sciences, 14(17), 91-98.
  16. Tey, Y. Sh., Brindal, M., Darham, S., Sidique, Sh. F. A., & Djama, M. (2020). Early Mover Advantage in Roundtable on Sustainable Palm Oil Certification: A Panel Evidence of Plantation Companies. Journal of Cleaner Production, 252, 119775.
  17. Wang, N., Zhu, Y., & Yang, T. (2020). The Impact of Transportation Infrastructure and Industrial Agglomeration on Energy Efficiency: Evidence from China’s Industrial Sectors. Journal of Cleaner Production, 244, 118708.

Received 20.03.2022
Received in revised form 22.04.2022
Accepted 28.04.2022
Available online 20.08.2022