E3S Web Conf.
Volume 316, 20212nd International Conference on Agribusiness and Rural Development (IConARD 2021)
|Number of page(s)||10|
|Published online||05 November 2021|
Optimization of Intercropping Rice, Corn, and Soybeans in the Border Area of Sanggau Regency: a goal programming approach
West Kalimantan Assessment Institute for Agricultural Technology, Budi Utomo No.45 Street Siantan Hulu, Pontianak, Indonesia, Indonesia
* Corresponding author: firstname.lastname@example.org
This study uses a goal programming approach for the dual purpose of planning the production of rice-corn-soybean intercropping in the Border Area of Sanggau Regency. In this study, seven objectives were formulated, (1) maximizing the income of rice-corn-soybean intercropping in a year, (2) minimizing farming costs, (3) minimizing labor, (4) maximizing urea fertilizer, (5) maximizing NPK fertilizer, (6) maximizing manure and (7) minimizing land area. The study was conducted in September-December 2019. The study used a survey method. The data collection method used purposive sampling. Respondents were farmers who plant intercropping rice-corn-soybean. The numbers of respondent was 30 people, data collection by random sampling. The method of data analysis was using income analysis, R/C, and Multi-Goal Programming. The results showed that optimization can be achieved with a yearly income goal of IDR 85,566,600; farm costs IDR 31,249,250, the labor of 6,024 people, use of urea fertilizer as much as 400 kg, use of NPK fertilizer as much as 1,500 kg, use of manure as much as 3,000 kg, and land area 6,140 ha. Optimization is achieved when farmers cultivate intercropping rice-corn with an area of 1.99 ha and intercropping with soybean with an area of 0.95 ha.
© The Authors, published by EDP Sciences, 2021
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.