Analisis Faktor-faktor yang Mempengaruhi Persentase Potongan di Pabrik Berdasarkan Kualitas Brondolan Menggunakan Regresi Linier Berganda (Studi Kasus: Pabrik CV Jaya Pratama Sawit, Sei Balai, Batu Bara)

Abstract

Loose palm fruit is a part of oil palm bunches that are released or fall when the palm fruit is ripe and when the palm fruit is in the process of being harvested. The purpose of this study was to identify loose palm fruit quality factors that affect the percentage of cuts and to analyze the relationship and the magnitude of their influence. This study used the multiple linear regression analysis method on secondary data taken from the sorting records of the CV Jaya Pratama Sawit factory in Batu Bara involving 7 indicator variables. The results of the analysis produce a regression equation Ŷ = 2,253 + 5,083X1 + 2,440X2 + 5,521X3 + 8,837X4 + 6,449X5 + 3,402X6 + 4,661X7 + ε where the results of the equation obtained 2 factors that have the most influence on the percentage cut and the results of the simultaneous test obtained Fcount> Ftable so that H1 is accepted where there is a significant influence between Sand Waste, Skin Waste, Soil Waste, Wet watered, Jemek/Broken, Dry and Rotten on the percentage cut. The seven indicator variables contribute a joint influence of 94.7% to the Y variable. These results provide a strong basis for further analysis and more efficient solutions to the quality of loose fruit.