Application Of Multi-Criteria Decision Analysis using The PROMETHEE Method in Initial Selection of Dura Mother Palm Trees: A Case Study of Field Observation Data in The IOPRI BJ43S (DxD) Experimental Estate, Bah Jambi, North Sumatra

Abstract

Decision-making based on multiple criteria requires a comprehensive method to ensure accurate decisions. One such approach is the application of Multi-Criteria Decision Analysis (MCDA). The Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) is a well-known method within MCDA, commonly used in fields such as business, finance, and technology, but it remains rarely utilized in the field of plant breeding. In this paper, the PROMETHEE method is employed for the initial selection of potential parent palm trees through the ranking of trees tested in the PPKS BJ43S (DxD) experimental estate, Bah Jambi, North Sumatra. This analysis utilizes field observation data from 1,395 tested palms, selecting the top 10%, or approximately 140 trees, based on the PROMETHEE method. The selection of these trees considers various criteria, including bunch weight, fruit-to-bunch ratio, mesocarp-to-fruit ratio, and oil characteristics. The analysis results indicate that this method is effective in the initial selection of potential mother palm trees, as it provides insights into the relative contribution of each criterion influencing the ranking of the palms. The ranking of the palms based on this analysis can serve as a basis for selecting mother palms considering multiple characteristics for the purpose of developing planting materials or for commercial applications.