Issue |
E3S Web Conf.
Volume 468, 2023
ICST UGM 2023 - The 4th Geoscience and Environmental Management Symposium
|
|
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Article Number | 06002 | |
Number of page(s) | 4 | |
Section | Human and Natural Resources | |
DOI | https://doi.org/10.1051/e3sconf/202346806002 | |
Published online | 21 December 2023 |
Analysis of Carrying Capacity of Crop Agricultural Land in Banten Province
1 Faculty of Engineering, Autonomous University of San Luis Potosi, San Luis Potosi 78290, Mexico
2 Department of Environmental Geography, Faculty of Geography, Universitas Gadjah Mada, Indonesia
* Corresponding author: ratihfitria.putri@ugm.ac.id
One of the problems with the need for land is the decreasing amount of agricultural land in Banten Province in 2020 which also affects the inability to meet the food needs of the population independently. This study aims to determine the level of carrying capacity of paddy agricultural land in meeting the food needs of the people in Banten Province. Spatially, this research covers 4 regencies and 4 cities in Banten Province, namely Pandeglang Regency, Lebak Regency, Tangerang Regency, Serang Regency, Tangerang City, Cilegon City, Serang City, and South Tangerang City. The data used is secondary data taken from the Central Statistics Agency and the Agriculture Office of Banten Province. The calculation of Carrying Capacity of Agricultural Land in this study used a combination of theories from Odum, Christeller, Ebenezer Howard, and Isard. The variables used in the calculation included the harvested land area (Ha), population size, average rice production per hectare (Kg/Ha), and the Minimum Physical Requirement with a predetermined value of 265. Data processing was carried out using Microsoft Office Excel and map making was carried out using ArcGIS software. The results showed that There are 2 districts with class II and there are 6 regencies/cities classified into the carrying capacity of class III.
© The Authors, published by EDP Sciences, 2023
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.
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