PEMILIHAN USAHA SEKTOR PERTANIAN UNGGULAN DI WILAYAH PULAU JAWA MENGGUNAKAN METODE MOORA
DOI:
https://doi.org/10.36341/rabit.v10i1.5540Keywords:
Decision Support System, MOORA, Agricultural Sector, Priority Ventures.Abstract
The agricultural sector plays a crucial role in supporting regional economies, particularly in providing food
supplies, creating employment opportunities, and reducing poverty levels. However, identifying priority
agricultural sectors often poses challenges due to the lack of comprehensive analysis and sufficient data. This
study aims to develop a Decision Support System (DSS) utilizing the Multi-Objective Optimization by Ratio
Analysis (MOORA) method to identify the leading agricultural enterprises in a specific region. MOORA was
selected for its advantages in efficiently and straightforwardly managing multiple criteria. The research
incorporates seven key criteria: regional suitability, types of superior commodities, productivity levels, land area,
seasonal or annual patterns, labor requirements, and funding sources. The findings indicate that the best
alternative is Food Crops, achieving the highest Yi value of 0.5104, followed by Horticulture and Plantations.
Although there are similarities between the input data and the rankings produced, the validity of this research has
been further analyzed using Spearman’s rank correlation test. The results show a correlation value of 0.300,
indicating a weak relationship between the two variables compared. This weak correlation underscores the need
to enhance data quality and integrate information on the number of enterprises to make the ranking system more
effective and relevant in supporting the development of the agricultural sector.
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