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Journal : International Journal of Engineering, Science and Information Technology

Optimizing Annual Cropping Patterns Using A multi-objective Approach to Maximize Income and Minimize Soil Erosion Faqih, Nasyiin; Suripin, Suripin; Wulandari, Dyah Ari; Qomaruddin, Mochammad
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.923

Abstract

This research investigates planting strategies to optimize productivity and conserve soil, focusing on potatoes and onions grown on erosion-prone land. Cross planting versus perpendicular plantings is evaluated using the MOORA (Multi-Objective Optimization Based on Ratio Analysis) method based on erosion rates, crop productivity, and economic outcomes. Meanwhile, data from six experimental contour and perpendicular planting plots are analyzed. The measurements for sediment and runoff are carried out using a dual-bucket system. After erosion calculations, the highest erosion rate was found in the contour planting of shallots at 385,65 tons/ha/year. At the same time, Potatoes planted perpendicular to the contour lines resulted in the lowest erosion rate, at only 114.51 tons/ha/year. Economic analysis, considering crop productivity and financial outcomes, revealed the highest productivity for potatoes planted perpendicular to the contour at Rp. 26.891 kg/ha, and the highest Income for the contour planting of potatoes at Rp. 215.133.360/ha. Optimization using the MOORA method, which calculates minimal erosion (cost) and maximal Income (benefit), yielded the highest value for potatoes planted along the contour at 0.409963. This was followed by perpendicular planting (0.075816) and shallots along the contour (0.067163). The MOORA method can provide optimal planting pattern recommendations by analyzing multiple criteria, including soil erosion and productivity, thereby offering practical guidance to farmers and policymakers in making more economically viable and sustainable planting decisions.
Smart Cropping Pattern: A Systematic Study of Sustainable Agriculture Optimization Model Mushthofa, Mushthofa; Suripin, Suripin; Wulandari, Dyah Ari; Qomaruddin, Mochammad
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.1132

Abstract

Irrigated agriculture accounts for more than 40% of global food production despite covering only about 20% of the world's agricultural land. However, climate change, water constraints, and multisectoral pressures on natural resources demand greater efficiency in the management of agricultural systems. One key strategy is determining optimal cropping patterns under conditions of water and land constraints. This study aims to review mathematical approaches, especially Linear Programming (LP)-based optimization models, in developing efficient and sustainable cropping pattern strategies. This study was conducted through a systematic literature review of 185 scientific articles from the Scopus and ScienceDirect databases in the period 2014–2025. The analysis was carried out using the PRISMA method and visualization of research trends through VOS viewer software. The results of the review indicate that optimization models, especially Linear Programs, have been widely used to develop data-based land and water allocation strategies, considering agronomic, economic, and environmental aspects. The increasing number of publications in the last decade reflects the urgency of this theme and the shift towards quantitative-based decision-making in agricultural systems. This study provides a conceptual and applicative basis for the development of sustainable planting strategies that are adaptive to environmental changes.