Optimization of Agricultural Resource Use in Various Cropping Patterns in Dry Land Irrigated With Groundwater in Pringgabaya District
Abstract: Implications from P2AT development is give convenience for farmers plant throughout year for 3 seasons plant consecutively. Election pattern proper planting can utilise resource agriculture like land, facilities production, energy work and water optimally. The purpose of study This is for analyze pattern crops that can optimize use resource agriculture on land dry irrigated groundwater in the District Pringgabaya. Research methods This use method study quantitative Where amount respondents as many as 60 people with area sample research in the village North Pringgabaya, Mount Malang, and Labuhan Lombok. The analysis used use linear programming and analysis approach sensitivity. Research results show that pattern plants that can optimize use resource agriculture on land dry irrigated groundwater in the District Pringgabaya is plant shallot red and chili cayenne pepper for village North Pringgabaya , plants corn and tobacco For village Mount Malang, and plants with total income maximum amounting to Rp.273.575.074 Keywords: Cropping Patterns, Groundwater Irrigation, Linear Programming, Optimization. Title: Optimization of Agricultural Resource Use in Various Cropping Patterns in Dry Land Irrigated With Groundwater in Pringgabaya District Author: Gina Sorayya, Halimatus Sa’diyah, Abdullah Usaman International Journal of Thesis Projects and Dissertations (IJTPD) Vol. 13, Issue 3, July 2025 - September 2025 Page No: 1-9 Research Publish Journals Website: www.researchpublish.com Published date: 18-July-2025 DOI: https://doi.org/10.5281/zenodo.16093785 Paper Download Link (Source) https://www.researchpublish.com/papers/optimization-of-agricultural-resource-use-in-various-cropping-patterns-in-dry-land-irrigated-with-groundwater-in-pringgabaya-district
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-18
- DOI
- https://doi.org/10.5281/zenodo.16093784
- Primary Topic
- Artificial Intelligence and Decision Support Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00