A Data Processing Information System for Oil Palm Harvest Results

Authors

  • M Febrianza Private Palm Oil Plantation (CV Perjuangan dan Doa)
  • Ahmad Sanmorino Universitas Indo Global Mandiri

DOI:

https://doi.org/10.70356/josapen.v4i1.91

Keywords:

Oil Palm Harvest, Data Processing Information System, Plantation Management

Abstract

Oil palm plantations require accurate and timely harvest data to support effective operational and managerial decision making. However, many plantations still rely on manual data recording methods that are prone to delays, errors, and data inconsistency. This study develops a data processing information system for oil palm harvest results using the Agile–Scrum approach to improve efficiency and data reliability. The system supports structured harvest data entry, automated processing, and real time reporting. Black-box testing was conducted to evaluate functional correctness, and the results show that all tested system functions operated as expected, with a 100% pass rate across key scenarios, including data entry, validation, and report generation. Performance comparison results indicate that the proposed system reduces data entry time by approximately 70%, decreases error rates by up to 85%, and shortens daily report preparation time from several hours to less than five minutes. These results demonstrate that the developed system effectively enhances accuracy, efficiency, and data accessibility in oil palm harvest management.

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References

A. Dwi et al., “Case Studies in Chemical and Environmental Engineering Sustainable utilization of palm oil industry by-products for livestock feed : A digestibility and environmental assessment,” Case Stud. Chem. Environ. Eng., vol. 12, no. May, p. 101263, 2025, doi: https://doi.org/10.1016/j.cscee.2025.101263.

C. Reich and O. Musshoff, “Oil palm smallholders and the road to certification : Insights from Indonesia,” J. Environ. Manage., vol. 375, no. October 2024, p. 124303, 2025, doi: https://doi.org/10.1016/j.jenvman.2025.124303.

K. Kipli et al., “Smart Agricultural Technology Deep learning applications for oil palm tree detection and counting,” Smart Agric. Technol., vol. 5, no. April, p. 100241, 2023, doi: https://doi.org/10.1016/j.atech.2023.100241.

E. Widyati et al., “Changes in soil-root-organism interactions following tropical forest conversion to tree and oil palm plantations,” Appl. Soil Ecol., vol. 213, no. May, p. 106253, 2025, doi: https://doi.org/10.1016/j.apsoil.2025.106253.

R. E. De Vos et al., “Shortening harvest interval , reaping benefits ? A study on harvest practices in oil palm smallholder farming systems in Indonesia,” Agric. Syst., vol. 211, no. August, p. 103753, 2023, doi: https://doi.org/10.1016/j.agsy.2023.103753.

I. Mudassir, M. Nishat, A. Aabid, and O. Shabbir, “Enhancing sustainability in the production of palm oil : creative monitoring methods using YOLOv7 and YOLOv8 for effective plantation management,” Biotechnol. Reports, vol. 44, no. June, p. e00853, 2024, doi: https://doi.org/10.1016/j.btre.2024.e00853.

S. Ma et al., “Artificial intelligence and medical-engineering integration in diabetes management_ Advances, opportunities, and challenges,” Healthc. Rehabil., vol. 1, no. 1, p. 100006, 2025, doi: https://doi.org/10.1016/j.hcr.2024.100006.

K. K. Kamga, P. F. Marlyse, S. Nguefack, and A. Wonkam, “Advancing genetic services in African healthcare : Challenges , opportunities , and strategic insights from a scoping review,” Hum. Genet. Genomics Adv., vol. 6, no. 3, p. 100439, 2025, doi: https://doi.org/10.1016/j.xhgg.2025.100439.

K. Waznah et al., “Recent advances and ongoing challenges in nanofluids-enhanced cooling technologies,” Chem. Thermodyn. Therm. Anal., vol. 20, no. May, p. 100236, 2025, doi: https://doi.org/10.1016/j.ctta.2025.100236.

J. Cock, D. Jiménez, H. Dorado, and T. Oberthür, “Operations research and machine learning to manage risk and optimize production practices in agriculture : good and bad experience,” Curr. Opin. Environ. Sustain., vol. 62, p. 101278, 2023, doi: https://doi.org/10.1016/j.cosust.2023.101278.

A. Pakseresht, S. Ahmadi, and K. Hakelius, “Blockchain technology characteristics essential for the agri-food sector : A systematic review,” Food Control, vol. 165, no. June, p. 110661, 2024, doi: https://doi.org/10.1016/j.foodcont.2024.110661.

O. O. Apeh and N. I. Nwulu, “Improving traceability and sustainability in the agri-food industry through blockchain technology : A bibliometric approach , benefits and challenges,” Energy Nexus, vol. 17, no. October 2024, p. 100388, 2025, doi: https://doi.org/10.1016/j.nexus.2025.100388.

K. S. Benavides-quiroga, W. F. C, J. G. Ramírez-gil, and W. A. Le, “Smart Agricultural Technology Digital platform as a tool for data management of the potato production system in Colombia,” vol. 13, no. January, 2026, doi: https://doi.org/10.1016/j.atech.2026.101808.

D. Bustamantev, L. E. Sánchez, D. G. Rosado, A. Santos-olmo, and E. Fernández-medina, “Computers & Security Towards a sustainable cybersecurity framework for Agriculture 4 . 0 based on a systematic analysis of proposals,” Comput. Secur., vol. 159, no. August, p. 104650, 2025, doi: https://doi.org/10.1016/j.cose.2025.104650.

A. K. M. M. Islam, “CropSynergy: Harnessing IoT Solutions for Smart and Efficient Crop Management,” Crop Des., p. 100127, 2025, doi: https://doi.org/10.1016/j.cropd.2025.100127.

S. S. M. Sadrul, A. Akhtar, E. Ahmed, K. Samiul, N. Islam, and S. Asia, “Artificial intelligence in agriculture across south Asia : Technology adoption , improvements , and sustainability outcomes,” Sustain. Futur., vol. 11, no. January, p. 101620, 2026, doi: https://doi.org/10.1016/j.sftr.2025.101620.

Published

2026-02-01

How to Cite

Febrianza, M., & Sanmorino, A. (2026). A Data Processing Information System for Oil Palm Harvest Results. Journal of Computer Science Application and Engineering (JOSAPEN), 4(1), 17–21. https://doi.org/10.70356/josapen.v4i1.91

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