| Issue |
E3S Web Conf.
Volume 645, 2025
The 1st International Conference on Green Engineering for Sustainable Future (ICoGESF 2025)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 9 | |
| Section | Smart and Sustainable Infrastructure | |
| DOI | https://doi.org/10.1051/e3sconf/202564502005 | |
| Published online | 28 August 2025 | |
Modelling of Oil Palm Plantation Land in Pandeglang Regency, Banten Province
1 Department of Civil Engineering, Universitas Negeri Surabaya, 60231 Surabaya, Indonesia
2 Department of Electrical Engineering, Universitas Negeri Surabaya, 60231 Surabaya, Indonesia
3 Department of Sport Science, Universitas Negeri Surabaya, 60213 Surabaya, Indonesia
4 Department of Sustainable Open Space and Urban Design, Frankfurt University of Applied Sciences, 60318 Frankfurt am Main, Germany
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Land use change to oil palm plantations has become a topic of interest to researchers, practitioners, and policy makers around the world. Pandeglang Regency has experienced significant land use change in recent decades. This phenomenon needs to be modeled based on spatial, social, economic and environmental perspectives. This study aims to build a model of Land Cover Change to Oil Palm Land in Pandeglang Regency as a basis for analyzing and evaluating local government policies. The results show that in 2026, it is estimated that there will be a spike in conversion to oil palm land of 941,25 ha and in 2028 it will be 1,807.42 ha. This spike occurs because the Stock of Potential Oil Palm Land Area has run out while the Need for Oil Palm continues to increase along with the increasing population. The Pandeglang Regency Government is recommended to be able to prepare for all the worst possibilities in 2026 and 2028 including in terms of economy, social community, Environmental Sustainability.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.