Statistic Correlation Technique, MEMCDM Non-Numerical and Fuzzy System for Collaboration Determining of Dominant Factors of National Palm Oil Stock

Abstract

Palm oil is the strategic commodities of the world and domestic of Indonesia. Indonesia is the biggest exporter of palm oil since 2006. As the biggest exporter, Indonesia can not be a price maker in international market. Besides Indonesia palm oil factory can not absorb all of crude palm oil production. This condition can disturbed to domestic crude palm oil stock and national foreign exchange or dollar when crude palm oil export decline. Therefor finding dominant factors of detect variable of stock problems are very important. The dominant factors is found by literature study then be equipped by historical data of annual periods. Statistical Pearson correlation and multi-pexpert multi-criteria decision making (MEMCDM) non-numerical are used to test and to verify correlation the dominant factors of national crude palm oil stock, and then fuzzy system is used to judge the dominant factors.

Keywords: Pearson correlation statistic, multi-criteria decision making non-numerical, fuzzy system