QUALITY ENGINEERING OF CRUDE PALM OIL (CPO): USING MULTIPLE LINEAR REGRESSION TO ESTIMATE FREE FATTY ACID

Hudori, Muhammad and Muhammad, Muhammad (2015) QUALITY ENGINEERING OF CRUDE PALM OIL (CPO): USING MULTIPLE LINEAR REGRESSION TO ESTIMATE FREE FATTY ACID. Proceeding 8th International Seminar on Industrial Engineering and Management, 8. QM 26-QM 33. ISSN 1978-774X

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Abstract

FFA value is the main parameter of crude palm oil (CPO) quality which is naturally organic substances and will undergo acidification reactions because it is separated from the palm oil tree. The higher degree of maturity, the potential increase in FFA will be faster, especially in FFB with over-ripe and empty-bunch grade. Preparation time processing (pretime) is too long, and the presence of trouble in the equipment mill that will cause downtime also potentially be the cause of decline in the quality of palm oil to be produced. But from the test results of regression model, only two factors that influence the FFA, ie over-ripe and pre-time. These factors also have a very strong correlation to the FFA and its can be described the FFA problem dominantly. Keywords: Multiple Linear Regression, Crude Palm Oil, Quality Engineering.

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