PENERAPAN METODE MOORA DALAM PEMILIHAN BIBIT KELAPA SAWIT TERBAIK

Abstract

To improve the quality and quantity of their oil palm production, oil palm farmers in Kotapinang Labuhan Batu Selatan need information on how to select the best oil palm seedlings. To overcome this problem, a solution is needed in the form of an appropriate decision support system. This research aims to find out how to select oil palm seedlings in the form of the best decision system with the MOORA method. Five criteria were used in this study namely potential fresh fruit production/year, yield, adaptation to marginal areas, planting density and harvest age. Alternatives for determining the best oil palm seedlings are based on five types of oil palm, namely: DyP Sungai Pancur I (Dumpy),  DxP PPKS 540, Turunan Yangambi, DxP Langkat dan DxP AVROS. The data sources used are primary data sources. In this case it was obtained through interviews with experts in the cultivation of oil palm seedlings and oil palm farmers. Based on the data analysis and processing, the preference value of DxP PPKS 540 and Yangambi seedlings of 0.46 is in the first position, the second position is occupied by DxP Langkat with a preference value of 0.436 and the last position is occupied by Dumpy and DxP Avros seedlings with the same preference value of 0.435.